--- title: "Undominated.ai — indeks harga AI. Terbaik dulu, baru harga." canonical: https://undominated.ai/id/ description: "Peringkatkan 364 model AI berdasarkan kapabilitas yang diukur secara independen, lalu bandingkan berapa biayanya yang sebenarnya di 55 penyedia. 92% model yang dinilai dan memiliki harga adalah penawaran yang jelas lebih buruk daripada pilihan lain dalam daftar ini." --- # Undominated.ai — indeks harga AI. Terbaik dulu, baru harga. > Peringkatkan 364 model AI berdasarkan kapabilitas yang diukur secara independen, lalu bandingkan berapa biayanya yang sebenarnya di 55 penyedia. 92% model yang dinilai dan memiliki harga adalah penawaran yang jelas lebih buruk daripada pilihan lain dalam daftar ini. # Model terbaik dulu. Baru berapa harganya. Dari **145** model standar yang dinilai dan memiliki harga, **133** punya alternatif dengan skor lebih tinggi atau harga lebih rendah, tanpa memperburuk dimensi lainnya. Median rasio harga terhadap alternatif termurah yang memenuhi syarat adalah **6,7×**. **12** berstatus Undominated . [Periksa model](/id/check/) [Audit tagihan](/audit/) [Paket berlangganan](/id/plans/) 364 model · 55 penyedia · 51 dengan harga bertingkat · diverifikasi 2026-10-06 Terbaik untuk Semua Situs web · 116 Kategori kode · 109 Pengembangan game · 109 Visualisasi data · 108 Komponen UI · 107 3D · 101 SVG · 79 Seni ASCII · 63 Aplikasi seluler · 42 Aplikasi full-stack · 41 Aplikasi web · 40 Aplikasi Android native · 36 Game Godot · 34 Beban kerja Seimbang Ringkas Chat Gen kode Agentik Ukuran prompt Pendek 33K 200K 300K Diukur pada Umum Dokumen 145 berperingkat · 213 tanpa nilai · 6 hanya batch atau gratis Saringan lanjutan Persempit Hanya frontier Pakai tool Penalaran Bobot terbuka Tampilkan batch & gratis Layak dibanding-bandingkan Cari model Urutkan Peringkat Nilai ↓ Nilai ↑ Efektif $/M ↑ Efektif $/M ↓ Model A–Z Model Z–A Konteks ↓ Konteks ↑ Dirilis ↓ Dirilis ↑ Kepadatan Ringkas Nyaman Terperinci bagikan tampilan ini 4 model berbagi peringkat 1 — benchmark tidak bisa memisahkannya. Yang termurah, **Claude Opus 5.5**, seharga $8,00/M , 2,5× lebih murah dari **Claude Fable 5.1**. [Skip past model table](#after-model-table) Peringkat sebuah model = 1 + jumlah model yang jelas mengalahkannya. Peringkat hanya menghitung model yang tercantum di sini. LMArena menempatkan gemini-4-argon-high (1533,5) di atas semuanya: tanpa peringkat di sini, karena tidak ada di feed harga yang dibaca situs ini. [Cara kerjanya](/id/methodology/#ranks) Jika tarif baca cache tidak dipublikasikan, estimasi gabungan memakai tarif input penuh pada tingkat harga yang dipilih. Model AI diperingkat berdasarkan kapabilitas Umum, lalu berdasarkan harga untuk beban kerja Seimbang. | # | Model | Umum ▾ Interval 95% Sumbu 1471–1524, mengikuti baris yang terlihat 1471–1524 1480 1490 1500 1510 1520 | Efektif $/M ▾ | Konteks | Kapabilitas | Putusan | Berdampingan | | --- | --- | --- | --- | --- | --- | --- | --- | | =1 4 model berbagi peringkat 1 — benchmark tidak bisa memisahkannya $8,00–$20,00 /M · termurah Claude Opus 5.5 | | | | | | | | | =1 | [Claude Opus 5.5 Anthropic](/models/anthropic__claude-opus-5.5/) | 1511,7 | $8,00 $4,00 masuk · $20,00 keluar | 1M | Penalaran Tool | Undominated tiada lebih baik & lebih murah | [⇄](/compare/?models=anthropic%2Fclaude-opus-5.5) | | =1 | [Claude Fable 5.1 Anthropic](/models/anthropic__claude-fable-5.1/) | 1510,6 | $20,00 $10,00 masuk · $50,00 keluar | 1M | Penalaran Tool | [Pilih Claude Opus 5.5 +1,1, dalam margin galat](/models/anthropic__claude-opus-5.5/) hemat 60% · +1,1, dalam margin galat | [⇄](/compare/?models=anthropic%2Fclaude-fable-5.1) | | =1 | [Claude Opus 4.6 Anthropic](/models/anthropic__claude-opus-4.6/) | 1503,2 | $10,00 $5,00 masuk · $25,00 keluar | 1M | Penalaran Tool | [Pilih Claude Opus 5.5 +8,5, dalam margin galat](/models/anthropic__claude-opus-5.5/) hemat 20% · +8,5, dalam margin galat | [⇄](/compare/?models=anthropic%2Fclaude-opus-4.6) | | =1 | [Claude Opus 5 Anthropic](/models/anthropic__claude-opus-5/) | 1502,1 | $10,00 $5,00 masuk · $25,00 keluar | 1M | Penalaran Tool | [Pilih Claude Opus 5.5 +9,6, dalam margin galat](/models/anthropic__claude-opus-5.5/) hemat 20% · +9,6, dalam margin galat | [⇄](/compare/?models=anthropic%2Fclaude-opus-5) | | =3 2 model berbagi peringkat 3 — benchmark tidak bisa memisahkannya $0,540–$3,00 /M · termurah MiMo-V2.6-Pro | | | | | | | | | =3 | [Gemini 3.8 Flash Google](/models/google__gemini-3.8-flash/) | 1497,0 | $3,00 + biaya penalaran $1,50 masuk · $7,50 keluar | 1M | Penalaran Tool | Undominated tiada lebih baik & lebih murah | [⇄](/compare/?models=google%2Fgemini-3.8-flash) | | =3 | [MiMo-V2.6-Pro Xiaomi](/models/xiaomi__mimo-v2.6-pro/) | 1491,0 | $0,540 $0,430 masuk · $0,870 keluar | 1M | Penalaran Tool | Undominated tiada lebih baik & lebih murah | [⇄](/compare/?models=xiaomi%2Fmimo-v2.6-pro) | | =5 5 model berbagi peringkat 5 — benchmark tidak bisa memisahkannya $2,00–$20,00 /M · termurah Muse Spark 1.3 | | | | | | | | | =5 | [Claude Fable 5 Anthropic](/models/anthropic__claude-fable-5/) | 1491,7 | $20,00 $10,00 masuk · $50,00 keluar | 1M | Penalaran Tool | [Pilih Claude Opus 5.5](/models/anthropic__claude-opus-5.5/) hemat 60% · +20,0 | [⇄](/compare/?models=anthropic%2Fclaude-fable-5) | | =5 | [Muse Spark 1.3 Meta](/models/meta__muse-spark-1.3/) | 1489,9 | $2,00 $1,25 masuk · $4,25 keluar | 1M | Penalaran Tool | [Pilih MiMo-V2.6-Pro +1,1, dalam margin galat keluaran maks. lebih pendek +1](/models/xiaomi__mimo-v2.6-pro/) hemat 73% · +1,1, dalam margin galat | [⇄](/compare/?models=meta%2Fmuse-spark-1.3) | | =5 | [Claude Opus 4.7 Anthropic](/models/anthropic__claude-opus-4.7/) | 1489,9 | $10,00 $5,00 masuk · $25,00 keluar | 1M | Penalaran Tool | [Pilih Claude Opus 5.5](/models/anthropic__claude-opus-5.5/) hemat 20% · +21,8 | [⇄](/compare/?models=anthropic%2Fclaude-opus-4.7) | | =5 | [Gemini 3.7 Flash Google](/models/google__gemini-3.7-flash/) | 1487,0 | $3,00 + biaya penalaran $1,50 masuk · $7,50 keluar | 1M | Penalaran Tool | [Pilih Gemini 3.8 Flash +10,0, dalam margin galat](/models/google__gemini-3.8-flash/) harga sama · +10,0, dalam margin galat | [⇄](/compare/?models=google%2Fgemini-3.7-flash) | | =5 | [Muse Spark 1.2 Meta](/models/meta__muse-spark-1.2/) | 1483,2 | $2,00 $1,25 masuk · $4,25 keluar | 1M | Penalaran Tool | [Pilih Muse Spark 1.3 +6,7, dalam margin galat](/models/meta__muse-spark-1.3/) harga sama · +6,7, dalam margin galat | [⇄](/compare/?models=meta%2Fmuse-spark-1.2) | | 8 | [Gemini 3.6 Flash Google](/models/google__gemini-3.6-flash/) | 1479,5 | $1,50 + biaya penalaran $0,750 masuk · $3,75 keluar | 1M | Penalaran Tool | [Pilih MiMo-V2.6-Pro +11,5, dalam margin galat tanpa masukan berkas](/models/xiaomi__mimo-v2.6-pro/) hemat 64% · +11,5, dalam margin galat | [⇄](/compare/?models=google%2Fgemini-3.6-flash) | | =9 2 model berbagi peringkat 9 — benchmark tidak bisa memisahkannya $2,00–$4,50 /M · termurah Muse Spark 1.1 | | | | | | | | | =9 | [Gemini 3.1 Pro Preview Google](/models/google__gemini-3.1-pro-preview/) | 1480,2 | $4,50 bertingkat + biaya penalaran $2,00 masuk · $12,00 keluar | 1M | Penalaran Tool | [Pilih Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) hemat 33% · +16,8 | [⇄](/compare/?models=google%2Fgemini-3.1-pro-preview) | | =9 | [Muse Spark 1.1 Meta](/models/meta__muse-spark-1.1/) | 1479,2 | $2,00 $1,25 masuk · $4,25 keluar | 1M | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) harga sama · +10,7 | [⇄](/compare/?models=meta%2Fmuse-spark-1.1) | | 10 | [Gemini 3.5 Flash Google](/models/google__gemini-3.5-flash/) | 1477,7 | $3,38 + biaya penalaran $1,50 masuk · $9,00 keluar | 1M | Penalaran Tool | [Pilih Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) hemat 11% · +19,3 | [⇄](/compare/?models=google%2Fgemini-3.5-flash) | | 11 | [Kimi K3 Moonshot AI](/models/moonshotai__kimi-k3/) | 1475,9 | $3,76 $0,680 masuk · $13,00 keluar | 1M | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) hemat 47% · +14,0 | [⇄](/compare/?models=moonshotai%2Fkimi-k3) | | =12 2 model berbagi peringkat 12 — benchmark tidak bisa memisahkannya $1,00–$4,00 /M · termurah GLM 5.3 | | | | | | | | | =12 | [GLM 5.3 Z.ai](/models/z-ai__glm-5.3/) | 1471,4 | $1,00 $0,200 masuk · $3,40 keluar | 1M | Penalaran Tool | [Pilih MiMo-V2.6-Pro keluaran maks. lebih pendek](/models/xiaomi__mimo-v2.6-pro/) hemat 46% · +19,6 | [⇄](/compare/?models=z-ai%2Fglm-5.3) | | =12 | [Claude Sonnet 5.5 Anthropic](/models/anthropic__claude-sonnet-5.5/) | 1466,6 | $4,00 $2,00 masuk · $10,00 keluar | 1M | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) hemat 50% · +23,3 | [⇄](/compare/?models=anthropic%2Fclaude-sonnet-5.5) | | 13 | [GLM 5.3 Flash Z.ai](/models/z-ai__glm-5.3-flash/) | 1469,6 | $0,238 $0,150 masuk · $0,500 keluar | 1M | Penalaran Tool | Undominated tiada lebih baik & lebih murah | [⇄](/compare/?models=z-ai%2Fglm-5.3-flash) | | 14 | [GLM 5.2 Z.ai](/models/z-ai__glm-5.2/) | 1470,4 | $1,12 $0,309 masuk · $3,55 keluar | 1M | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 52% · +20,6 | [⇄](/compare/?models=z-ai%2Fglm-5.2) | | =17 3 model berbagi peringkat 17 — benchmark tidak bisa memisahkannya $0,182–$11,25 /M · termurah DeepSeek V4.1 Flash | | | | | | | | | =17 | [GPT-5.5 OpenAI](/models/openai__gpt-5.5/) | 1466,8 | $11,25 bertingkat $5,00 masuk · $30,00 keluar | 1M | Penalaran Tool | [Pilih Claude Opus 5.5 konteks lebih kecil](/models/anthropic__claude-opus-5.5/) hemat 29% · +44,9 | [⇄](/compare/?models=openai%2Fgpt-5.5) | | =17 | [MiMo-V2.5-Pro Xiaomi](/models/xiaomi__mimo-v2.5-pro/) | 1465,0 | $0,544 $0,435 masuk · $0,870 keluar | 1M | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 1% · +26,0 | [⇄](/compare/?models=xiaomi%2Fmimo-v2.5-pro) | | =17 | [DeepSeek V4.1 Flash DeepSeek](/models/deepseek__deepseek-v4.1-flash/) | 1462,5 | $0,182 $0,053 masuk · $0,570 keluar | 1M | Penalaran Tool | Undominated tiada lebih baik & lebih murah | [⇄](/compare/?models=deepseek%2Fdeepseek-v4.1-flash) | | =19 2 model berbagi peringkat 19 — benchmark tidak bisa memisahkannya $1,83–$10,00 /M · termurah GLM 5.1 | | | | | | | | | =19 | [GLM 5.1 Z.ai](/models/z-ai__glm-5.1/) | 1461,5 | $1,83 $1,19 masuk · $3,74 keluar | 204K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 70% · +29,5 | [⇄](/compare/?models=z-ai%2Fglm-5.1) | | =19 | [Claude Opus 4.8 Anthropic](/models/anthropic__claude-opus-4.8/) | 1461,0 | $10,00 $5,00 masuk · $25,00 keluar | 1M | Penalaran Tool | [Pilih Claude Opus 5.5](/models/anthropic__claude-opus-5.5/) hemat 20% · +50,7 | [⇄](/compare/?models=anthropic%2Fclaude-opus-4.8) | | 20 | [MiMo-V2.6-Flash Xiaomi](/models/xiaomi__mimo-v2.6-flash/) | 1456,4 | $0,175 $0,140 masuk · $0,280 keluar | 1M | Penalaran Tool | Undominated tiada lebih baik & lebih murah | [⇄](/compare/?models=xiaomi%2Fmimo-v2.6-flash) | | =22 5 model berbagi peringkat 22 — benchmark tidak bisa memisahkannya $0,560–$8,00 /M · termurah Qwen3.7 Plus | | | | | | | | | =22 | [Gemini 2.5 Pro Google](/models/google__gemini-2.5-pro/) berhenti 20 Okt 2026 | 1457,8 | $3,44 bertingkat + biaya penalaran $1,25 masuk · $10,00 keluar | 1M | Penalaran Tool | [Pilih Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) hemat 13% · +39,2 | [⇄](/compare/?models=google%2Fgemini-2.5-pro) | | =22 | [Claude Sonnet 4.6 Anthropic](/models/anthropic__claude-sonnet-4.6/) | 1457,8 | $6,00 $3,00 masuk · $15,00 keluar | 1M | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) hemat 67% · +32,1 | [⇄](/compare/?models=anthropic%2Fclaude-sonnet-4.6) | | =22 | [GPT-5.6 Sol OpenAI](/models/openai__gpt-5.6-sol/) | 1456,3 | $8,00 bertingkat $4,00 masuk · $20,00 keluar | 1M | Penalaran Tool | [Pilih Claude Opus 5.5 konteks lebih kecil](/models/anthropic__claude-opus-5.5/) harga sama · +55,4 | [⇄](/compare/?models=openai%2Fgpt-5.6-sol) | | =22 | [Kimi K2.6 Moonshot AI](/models/moonshotai__kimi-k2.6/) | 1455,5 | $0,961 $0,465 masuk · $2,45 keluar | 262K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 75% · +14,1 | [⇄](/compare/?models=moonshotai%2Fkimi-k2.6) | | =22 | [Qwen3.7 Plus Qwen](/models/qwen__qwen3.7-plus/) | 1454,6 | $0,560 bertingkat $0,320 masuk · $1,28 keluar | 1M | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 4% · +36,4 | [⇄](/compare/?models=qwen%2Fqwen3.7-plus) | | =25 2 model berbagi peringkat 25 — benchmark tidak bisa memisahkannya $4,00–$5,63 /M · termurah GPT-6.1 Sol | | | | | | | | | =25 | [GPT-5.4 OpenAI](/models/openai__gpt-5.4/) | 1452,2 | $5,63 bertingkat $2,50 masuk · $15,00 keluar | 1M | Penalaran Tool | [Pilih Gemini 3.8 Flash konteks lebih kecil +1](/models/google__gemini-3.8-flash/) hemat 47% · +44,8 | [⇄](/compare/?models=openai%2Fgpt-5.4) | | =25 | [GPT-6.1 Sol OpenAI](/models/openai__gpt-6.1-sol/) | 1445,6 | $4,00 bertingkat $2,00 masuk · $10,00 keluar | 1M | Penalaran Tool | [Pilih Gemini 3.8 Flash konteks lebih kecil +1](/models/google__gemini-3.8-flash/) hemat 25% · +51,4 | [⇄](/compare/?models=openai%2Fgpt-6.1-sol) | | 27 | [Qwen3.6 Max Preview Qwen](/models/qwen__qwen3.6-max-preview/) berhenti 9 Okt 2026 | 1446,8 | $2,31 bertingkat $1,03 masuk · $6,16 keluar | 262K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 77% · +44,2 | [⇄](/compare/?models=qwen%2Fqwen3.6-max-preview) | | =28 2 model berbagi peringkat 28 — benchmark tidak bisa memisahkannya $3,00–$10,00 /M · termurah Grok 4.5 | | | | | | | | | =28 | [Claude Opus 4.5 Anthropic](/models/anthropic__claude-opus-4.5/) | 1451,0 | $10,00 $5,00 masuk · $25,00 keluar | 200K | Penalaran Tool | [Pilih Claude Opus 5.5](/models/anthropic__claude-opus-5.5/) hemat 20% · +60,7 | [⇄](/compare/?models=anthropic%2Fclaude-opus-4.5) | | =28 | [Grok 4.5 xAI](/models/x-ai__grok-4.5/) | 1448,1 | $3,00 bertingkat $2,00 masuk · $6,00 keluar | 500K | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) hemat 33% · +41,8 | [⇄](/compare/?models=x-ai%2Fgrok-4.5) | | 29 | [DeepSeek V4 Pro 0423 DeepSeek](/models/deepseek__deepseek-v4-pro/) | 1445,2 | $1,21 $0,450 masuk · $3,48 keluar | 1M | Penalaran Tool | [Pilih GLM 5.3](/models/z-ai__glm-5.3/) hemat 17% · +26,2 | [⇄](/compare/?models=deepseek%2Fdeepseek-v4-pro) | | =30 3 model berbagi peringkat 30 — benchmark tidak bisa memisahkannya $0,205–$4,50 /M · termurah Gemma 4 31B | | | | | | | | | =30 | [GLM 5 Z.ai](/models/z-ai__glm-5/) | 1446,3 | $1,09 $0,700 masuk · $2,24 keluar | 204K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 50% · +44,7 | [⇄](/compare/?models=z-ai%2Fglm-5) | | =30 | [GPT-5.6 Terra OpenAI](/models/openai__gpt-5.6-terra/) | 1446,3 | $4,50 bertingkat $2,00 masuk · $12,00 keluar | 1M | Penalaran Tool | [Pilih Gemini 3.8 Flash konteks lebih kecil +1](/models/google__gemini-3.8-flash/) hemat 33% · +50,7 | [⇄](/compare/?models=openai%2Fgpt-5.6-terra) | | =30 | [Gemma 4 31B Google](/models/google__gemma-4-31b-it/) | 1443,4 | $0,205 $0,140 masuk · $0,400 keluar | 262K | Penalaran Tool | [Pilih MiMo-V2.6-Flash +13,0, dalam margin galat](/models/xiaomi__mimo-v2.6-flash/) hemat 15% · +13,0, dalam margin galat | [⇄](/compare/?models=google%2Fgemma-4-31b-it) | | 31 | [GPT-6 Astra OpenAI](/models/openai__gpt-6-astra/) | 1442,3 | $20,00 bertingkat $10,00 masuk · $50,00 keluar | 1M | Penalaran Tool | [Pilih GPT-5.5](/models/openai__gpt-5.5/) hemat 44% · +24,5 | [⇄](/compare/?models=openai%2Fgpt-6-astra) | | 33 | [Kimi K2.5 Moonshot AI](/models/moonshotai__kimi-k2.5/) | 1445,2 | $1,20 $0,600 masuk · $3,00 keluar | 262K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 80% · +24,4 | [⇄](/compare/?models=moonshotai%2Fkimi-k2.5) | | =34 5 model berbagi peringkat 34 — benchmark tidak bisa memisahkannya $0,231–$4,00 /M · termurah Hy3 | | | | | | | | | =34 | [Claude Sonnet 5 Anthropic](/models/anthropic__claude-sonnet-5/) | 1442,9 | $4,00 $2,00 masuk · $10,00 keluar | 1M | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) hemat 50% · +47,0 | [⇄](/compare/?models=anthropic%2Fclaude-sonnet-5) | | =34 | [Inkling Thinking Machines](/models/thinkingmachines__inkling/) | 1441,8 | $1,73 $0,950 masuk · $4,05 keluar | 524K | Penalaran Tool | [Pilih MiMo-V2.6-Pro keluaran maks. lebih pendek](/models/xiaomi__mimo-v2.6-pro/) hemat 69% · +49,2 | [⇄](/compare/?models=thinkingmachines%2Finkling) | | =34 | [Hy3 Tencent](/models/tencent__hy3/) | 1440,7 | $0,231 tarif rentang jam $0,132 masuk · $0,528 keluar | 262K | Penalaran Tool | [Pilih DeepSeek V4.1 Flash](/models/deepseek__deepseek-v4.1-flash/) hemat 21% · +21,8 | [⇄](/compare/?models=tencent%2Fhy3) | | =34 | [Qwen3.8 27B Qwen](/models/qwen__qwen3.8-27b/) | 1440,7 | $0,562 $0,089 masuk · $1,98 keluar | 1M | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 4% · +50,3 | [⇄](/compare/?models=qwen%2Fqwen3.8-27b) | | =34 | [GLM 4.6 Z.ai](/models/z-ai__glm-4.6/) | 1439,9 | $0,760 $0,430 masuk · $1,75 keluar | 204K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 29% · +51,1 | [⇄](/compare/?models=z-ai%2Fglm-4.6) | | 35 | [GLM 5V Turbo Z.ai](/models/z-ai__glm-5v-turbo/) | 1437,2 | $1,90 $1,20 masuk · $4,00 keluar | 202K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 72% · +53,8 | [⇄](/compare/?models=z-ai%2Fglm-5v-turbo) | | =38 6 model berbagi peringkat 38 — benchmark tidak bisa memisahkannya $0,127–$6,00 /M · termurah Gemma 4 26B A4B | | | | | | | | | =38 | [Claude Sonnet 4.5 Anthropic](/models/anthropic__claude-sonnet-4.5/) | 1438,6 | $6,00 bertingkat $3,00 masuk · $15,00 keluar | 1M | Penalaran Tool | [Pilih Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) hemat 50% · +58,4 | [⇄](/compare/?models=anthropic%2Fclaude-sonnet-4.5) | | =38 | [Qwen3.5 397B A17B Qwen](/models/qwen__qwen3.5-397b-a17b/) | 1438,0 | $0,878 $0,390 masuk · $2,34 keluar | 262K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 38% · +53,0 | [⇄](/compare/?models=qwen%2Fqwen3.5-397b-a17b) | | =38 | [Qwen3.6 Plus Qwen](/models/qwen__qwen3.6-plus/) | 1436,7 | $0,731 bertingkat $0,325 masuk · $1,95 keluar | 1M | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 26% · +54,3 | [⇄](/compare/?models=qwen%2Fqwen3.6-plus) | | =38 | [GLM 4.7 Z.ai](/models/z-ai__glm-4.7/) berhenti 31 Des 2026 | 1435,5 | $0,738 $0,400 masuk · $1,75 keluar | 204K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 27% · +55,5 | [⇄](/compare/?models=z-ai%2Fglm-4.7) | | =38 | [Gemini 3.5 Flash Lite Google](/models/google__gemini-3.5-flash-lite/) | 1434,7 | $0,850 + biaya penalaran $0,300 masuk · $2,50 keluar | 1M | Penalaran Tool | [Pilih MiMo-V2.6-Pro tanpa masukan berkas](/models/xiaomi__mimo-v2.6-pro/) hemat 36% · +56,3 | [⇄](/compare/?models=google%2Fgemini-3.5-flash-lite) | | =38 | [Gemma 4 26B A4B Google](/models/google__gemma-4-26b-a4b-it/) | 1433,9 | $0,127 $0,069 masuk · $0,300 keluar | 262K | Penalaran Tool | Undominated tiada lebih baik & lebih murah | [⇄](/compare/?models=google%2Fgemma-4-26b-a4b-it) | | =42 2 model berbagi peringkat 42 — benchmark tidak bisa memisahkannya $0,113–$0,485 /M · termurah DeepSeek V4 Flash 0423 | | | | | | | | | =42 | [DeepSeek V4 Flash 0423 DeepSeek](/models/deepseek__deepseek-v4-flash/) | 1432,1 | $0,113 $0,090 masuk · $0,180 keluar | 1M | Penalaran Tool | Undominated tiada lebih baik & lebih murah | [⇄](/compare/?models=deepseek%2Fdeepseek-v4-flash) | | =42 | [MiniMax M3 MiniMax](/models/minimax__minimax-m3/) | 1432,1 | $0,485 $0,280 masuk · $1,10 keluar | 1M | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 51% · +37,5 | [⇄](/compare/?models=minimax%2Fminimax-m3) | | 46 | [GPT-5.6 Luna OpenAI](/models/openai__gpt-5.6-luna/) | 1431,0 | $0,450 bertingkat $0,200 masuk · $1,20 keluar | 1M | Penalaran Tool | [Pilih GLM 5.3 Flash konteks lebih kecil +1](/models/z-ai__glm-5.3-flash/) hemat 47% · +38,6 | [⇄](/compare/?models=openai%2Fgpt-5.6-luna) | | 47 | [GLM 4.5 Z.ai](/models/z-ai__glm-4.5/) berhenti 31 Des 2026 | 1430,3 | $1,00 $0,600 masuk · $2,20 keluar | 131K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 46% · +60,7 | [⇄](/compare/?models=z-ai%2Fglm-4.5) | | 50 | [R1 0528 DeepSeek](/models/deepseek__deepseek-r1-0528/) | 1427,9 | $0,920 $0,500 masuk · $2,18 keluar | 163K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 41% · +63,1 | [⇄](/compare/?models=deepseek%2Fdeepseek-r1-0528) | | =51 2 model berbagi peringkat 51 — benchmark tidak bisa memisahkannya $0,175–$3,00 /M · termurah MiMo-V2.5 | | | | | | | | | =51 | [MiMo-V2.5 Xiaomi](/models/xiaomi__mimo-v2.5/) | 1427,5 | $0,175 $0,140 masuk · $0,280 keluar | 1M | Penalaran Tool | [Pilih MiMo-V2.6-Flash](/models/xiaomi__mimo-v2.6-flash/) harga sama · +28,9 | [⇄](/compare/?models=xiaomi%2Fmimo-v2.5) | | =51 | [Grok 4.6 xAI](/models/x-ai__grok-4.6/) | 1427,4 | $3,00 bertingkat $2,00 masuk · $6,00 keluar | 500K | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) hemat 33% · +62,5 | [⇄](/compare/?models=x-ai%2Fgrok-4.6) | | 54 | [DeepSeek V3.2 Exp DeepSeek](/models/deepseek__deepseek-v3.2-exp/) | 1422,4 | $0,305 $0,270 masuk · $0,410 keluar | 163K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 22% · +47,2 | [⇄](/compare/?models=deepseek%2Fdeepseek-v3.2-exp) | | =56 3 model berbagi peringkat 56 — benchmark tidak bisa memisahkannya $0,290–$3,00 /M · termurah DeepSeek V3.2 | | | | | | | | | =56 | [DeepSeek V3.2 DeepSeek](/models/deepseek__deepseek-v3.2/) | 1424,5 | $0,290 $0,260 masuk · $0,380 keluar | 163K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 18% · +45,1 | [⇄](/compare/?models=deepseek%2Fdeepseek-v3.2) | | =56 | [Mistral Medium 3.5 Mistral](/models/mistralai__mistral-medium-3-5/) | 1421,2 | $3,00 $1,50 masuk · $7,50 keluar | 262K | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) hemat 33% · +68,7 | [⇄](/compare/?models=mistralai%2Fmistral-medium-3-5) | | =56 | [DeepSeek V3.1 Terminus DeepSeek](/models/deepseek__deepseek-v3.1-terminus/) | 1417,1 | $0,453 $0,270 masuk · $1,00 keluar | 163K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 48% · +52,5 | [⇄](/compare/?models=deepseek%2Fdeepseek-v3.1-terminus) | | 57 | [Qwen3 VL 235B A22B Instruct Qwen](/models/qwen__qwen3-vl-235b-a22b-instruct/) | 1420,1 | $0,370 $0,200 masuk · $0,880 keluar | 262K | Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 36% · +49,5 | [⇄](/compare/?models=qwen%2Fqwen3-vl-235b-a22b-instruct) | | =58 2 model berbagi peringkat 58 — benchmark tidak bisa memisahkannya $0,453–$3,44 /M · termurah DeepSeek V3.1 | | | | | | | | | =58 | [GPT-5.1 OpenAI](/models/openai__gpt-5.1/) | 1422,2 | $3,44 $1,25 masuk · $10,00 keluar | 400K | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) hemat 42% · +67,7 | [⇄](/compare/?models=openai%2Fgpt-5.1) | | =58 | [DeepSeek V3.1 DeepSeek](/models/deepseek__deepseek-chat-v3.1/) | 1419,7 | $0,453 $0,270 masuk · $1,00 keluar | 163K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 48% · +49,9 | [⇄](/compare/?models=deepseek%2Fdeepseek-chat-v3.1) | | =62 5 model berbagi peringkat 62 — benchmark tidak bisa memisahkannya $0,205–$30,00 /M · termurah Qwen3 235B A22B Instruct 2507 | | | | | | | | | =62 | [Qwen3 235B A22B Instruct 2507 Qwen](/models/qwen__qwen3-235b-a22b-2507/) | 1419,3 | $0,205 $0,090 masuk · $0,550 keluar | 262K | Tool | [Pilih DeepSeek V4.1 Flash](/models/deepseek__deepseek-v4.1-flash/) hemat 11% · +43,2 | [⇄](/compare/?models=qwen%2Fqwen3-235b-a22b-2507) | | =62 | [Claude Opus 4.1 Anthropic](/models/anthropic__claude-opus-4.1/) | 1418,6 | $30,00 $15,00 masuk · $75,00 keluar | 200K | Penalaran Tool | [Pilih Claude Opus 5.5](/models/anthropic__claude-opus-5.5/) hemat 73% · +93,1 | [⇄](/compare/?models=anthropic%2Fclaude-opus-4.1) | | =62 | [Qwen3 Next 80B A3B Instruct Qwen](/models/qwen__qwen3-next-80b-a3b-instruct/) | 1417,3 | $0,268 $0,098 masuk · $0,780 keluar | 262K | Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 11% · +52,3 | [⇄](/compare/?models=qwen%2Fqwen3-next-80b-a3b-instruct) | | =62 | [Qwen3.5-122B-A10B Qwen](/models/qwen__qwen3.5-122b-a10b/) | 1417,1 | $0,715 $0,260 masuk · $2,08 keluar | 262K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 24% · +73,9 | [⇄](/compare/?models=qwen%2Fqwen3.5-122b-a10b) | | =62 | [Qwen3 235B A22B Thinking 2507 Qwen](/models/qwen__qwen3-235b-a22b-thinking-2507/) berhenti 9 Okt 2026 | 1415,2 | $0,748 $0,230 masuk · $2,30 keluar | 131K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 28% · +75,8 | [⇄](/compare/?models=qwen%2Fqwen3-235b-a22b-thinking-2507) | | =63 3 model berbagi peringkat 63 — benchmark tidak bisa memisahkannya $0,563–$1,56 /M · termurah Gemini 3.1 Flash Lite Preview | | | | | | | | | =63 | [Gemini 2.5 Flash Google](/models/google__gemini-2.5-flash/) berhenti 20 Okt 2026 | 1417,0 | $0,850 + biaya penalaran $0,300 masuk · $2,50 keluar | 1M | Penalaran Tool | [Pilih Gemini 3.5 Flash Lite](/models/google__gemini-3.5-flash-lite/) harga sama · +17,7 | [⇄](/compare/?models=google%2Fgemini-2.5-flash) | | =63 | [Gemini 3.1 Flash Lite Preview Google](/models/google__gemini-3.1-flash-lite-preview/) | 1415,7 | $0,563 + biaya penalaran $0,250 masuk · $1,50 keluar | 1M | Penalaran Tool | [Pilih MiMo-V2.6-Pro tanpa masukan berkas](/models/xiaomi__mimo-v2.6-pro/) hemat 4% · +75,3 | [⇄](/compare/?models=google%2Fgemini-3.1-flash-lite-preview) | | =63 | [Qwen3 Max Qwen](/models/qwen__qwen3-max/) berhenti 9 Okt 2026 | 1412,4 | $1,56 bertingkat $0,780 masuk · $3,90 keluar | 262K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 65% · +78,6 | [⇄](/compare/?models=qwen%2Fqwen3-max) | | 64 | [Inkling Small Thinking Machines](/models/thinkingmachines__inkling-small/) | 1413,7 | $0,638 $0,450 masuk · $1,20 keluar | 524K | Penalaran Tool | [Pilih MiMo-V2.6-Pro keluaran maks. lebih pendek](/models/xiaomi__mimo-v2.6-pro/) hemat 15% · +77,3 | [⇄](/compare/?models=thinkingmachines%2Finkling-small) | | =67 2 model berbagi peringkat 67 — benchmark tidak bisa memisahkannya $1,69–$4,81 /M · termurah GPT-5.4 Mini | | | | | | | | | =67 | [GPT-5.2 OpenAI](/models/openai__gpt-5.2/) | 1412,3 | $4,81 $1,75 masuk · $14,00 keluar | 400K | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) hemat 58% · +77,6 | [⇄](/compare/?models=openai%2Fgpt-5.2) | | =67 | [GPT-5.4 Mini OpenAI](/models/openai__gpt-5.4-mini/) | 1411,4 | $1,69 $0,750 masuk · $4,50 keluar | 400K | Penalaran Tool | [Pilih GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) hemat 73% · +19,6 | [⇄](/compare/?models=openai%2Fgpt-5.4-mini) | | =71 2 model berbagi peringkat 71 — benchmark tidak bisa memisahkannya $0,536–$3,50 /M · termurah Qwen3.5-27B | | | | | | | | | =71 | [o3 OpenAI](/models/openai__o3/) | 1409,9 | $3,50 $2,00 masuk · $8,00 keluar | 200K | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) hemat 43% · +80,0 | [⇄](/compare/?models=openai%2Fo3) | | =71 | [Qwen3.5-27B Qwen](/models/qwen__qwen3.5-27b/) | 1408,9 | $0,536 $0,195 masuk · $1,56 keluar | 262K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 56% · +60,7 | [⇄](/compare/?models=qwen%2Fqwen3.5-27b) | | 74 | [GPT-5 OpenAI](/models/openai__gpt-5/) | 1406,1 | $3,44 $1,25 masuk · $10,00 keluar | 400K | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) hemat 42% · +83,8 | [⇄](/compare/?models=openai%2Fgpt-5) | | 77 | [MiniMax M2.7 MiniMax](/models/minimax__minimax-m2.7/) | 1404,6 | $0,525 $0,300 masuk · $1,20 keluar | 204K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 55% · +65,0 | [⇄](/compare/?models=minimax%2Fminimax-m2.7) | | =78 2 model berbagi peringkat 78 — benchmark tidak bisa memisahkannya $1,30–$3,00 /M · termurah Qwen3 VL 235B A22B Thinking | | | | | | | | | =78 | [Qwen3 VL 235B A22B Thinking Qwen](/models/qwen__qwen3-vl-235b-a22b-thinking/) berhenti 9 Okt 2026 | 1400,7 | $1,30 $0,400 masuk · $4,00 keluar | 131K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 58% · +90,3 | [⇄](/compare/?models=qwen%2Fqwen3-vl-235b-a22b-thinking) | | =78 | [Grok 4.7 xAI](/models/x-ai__grok-4.7/) | 1399,9 | $3,00 bertingkat $2,00 masuk · $6,00 keluar | 500K | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) hemat 33% · +90,0 | [⇄](/compare/?models=x-ai%2Fgrok-4.7) | | 79 | [Step 3.5 Flash StepFun](/models/stepfun__step-3.5-flash/) | 1403,0 | $0,150 $0,100 masuk · $0,300 keluar | 262K | Penalaran Tool | [Pilih Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) hemat 16% · +30,9 | [⇄](/compare/?models=stepfun%2Fstep-3.5-flash) | | 82 | [GPT-6 Sol OpenAI](/models/openai__gpt-6-sol/) | 1395,4 | $4,00 bertingkat $2,00 masuk · $10,00 keluar | 1M | Penalaran Tool | [Pilih GPT-6.1 Sol](/models/openai__gpt-6.1-sol/) harga sama · +50,2 | [⇄](/compare/?models=openai%2Fgpt-6-sol) | | =84 2 model berbagi peringkat 84 — benchmark tidak bisa memisahkannya $0,114–$1,56 /M · termurah Qwen3.5-Flash | | | | | | | | | =84 | [Qwen3.5-Flash Qwen](/models/qwen__qwen3.5-flash-02-23/) | 1397,0 | $0,114 $0,065 masuk · $0,260 keluar | 1M | Penalaran Tool | [Pilih DeepSeek V4 Flash 0423 tanpa masukan gambar +1](/models/deepseek__deepseek-v4-flash/) hemat 1% · +35,1 | [⇄](/compare/?models=qwen%2Fqwen3.5-flash-02-23) | | =84 | [Grok 4.3 xAI](/models/x-ai__grok-4.3/) | 1396,7 | $1,56 bertingkat $1,25 masuk · $2,50 keluar | 1M | Penalaran Tool | [Pilih MiMo-V2.6-Pro keluaran maks. lebih pendek +1](/models/xiaomi__mimo-v2.6-pro/) hemat 65% · +94,3 | [⇄](/compare/?models=x-ai%2Fgrok-4.3) | | =85 3 model berbagi peringkat 85 — benchmark tidak bisa memisahkannya $0,200–$2,00 /M · termurah GPT-6 Luna | | | | | | | | | =85 | [Claude Haiku 4.5 Anthropic](/models/anthropic__claude-haiku-4.5/) | 1396,1 | $2,00 $1,00 masuk · $5,00 keluar | 200K | Penalaran Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) harga sama · +93,8 | [⇄](/compare/?models=anthropic%2Fclaude-haiku-4.5) | | =85 | [Qwen3.5-35B-A3B Qwen](/models/qwen__qwen3.5-35b-a3b/) | 1394,4 | $0,355 $0,140 masuk · $1,00 keluar | 262K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 33% · +75,2 | [⇄](/compare/?models=qwen%2Fqwen3.5-35b-a3b) | | =85 | [GPT-6 Luna OpenAI](/models/openai__gpt-6-luna/) | 1391,5 | $0,200 bertingkat $0,100 masuk · $0,500 keluar | 1M | Penalaran Tool | [Pilih DeepSeek V4.1 Flash konteks lebih kecil +1](/models/deepseek__deepseek-v4.1-flash/) hemat 9% · +71,0 | [⇄](/compare/?models=openai%2Fgpt-6-luna) | | 90 | [Solar Pro 4 Upstage](/models/upstage__solar-pro4/) | 1386,2 | $0,525 $0,300 masuk · $1,20 keluar | 524K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 55% · +83,4 | [⇄](/compare/?models=upstage%2Fsolar-pro4) | | 91 | [Qwen3 30B A3B Instruct 2507 Qwen](/models/qwen__qwen3-30b-a3b-instruct-2507/) | 1384,1 | $0,143 $0,090 masuk · $0,300 keluar | 262K | Tool | [Pilih Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) hemat 11% · +49,8 | [⇄](/compare/?models=qwen%2Fqwen3-30b-a3b-instruct-2507) | | =92 3 model berbagi peringkat 92 — benchmark tidak bisa memisahkannya $0,310–$3,50 /M · termurah GLM 4.5 Air | | | | | | | | | =92 | [GLM 4.5 Air Z.ai](/models/z-ai__glm-4.5-air/) | 1383,9 | $0,310 $0,130 masuk · $0,850 keluar | 131K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 23% · +85,7 | [⇄](/compare/?models=z-ai%2Fglm-4.5-air) | | =92 | [GPT-4.1 OpenAI](/models/openai__gpt-4.1/) | 1383,0 | $3,50 $2,00 masuk · $8,00 keluar | 1M | Tool | [Pilih Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) hemat 14% · +114,0 | [⇄](/compare/?models=openai%2Fgpt-4.1) | | =92 | [GLM 4.6V Z.ai](/models/z-ai__glm-4.6v/) | 1376,8 | $0,450 $0,300 masuk · $0,900 keluar | 131K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 47% · +92,8 | [⇄](/compare/?models=z-ai%2Fglm-4.6v) | | =97 6 model berbagi peringkat 97 — benchmark tidak bisa memisahkannya $0,413–$1,15 /M · termurah Qwen3 Next 80B A3B Thinking | | | | | | | | | =97 | [DeepSeek V3 0324 DeepSeek](/models/deepseek__deepseek-chat-v3-0324/) | 1375,0 | $0,438 $0,250 masuk · $1,00 keluar | 163K | Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 46% · +94,6 | [⇄](/compare/?models=deepseek%2Fdeepseek-chat-v3-0324) | | =97 | [GPT-5 Mini OpenAI](/models/openai__gpt-5-mini/) | 1373,2 | $0,688 $0,250 masuk · $2,00 keluar | 400K | Penalaran Tool | [Pilih GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) hemat 35% · +57,8 | [⇄](/compare/?models=openai%2Fgpt-5-mini) | | =97 | [R1 DeepSeek](/models/deepseek__deepseek-r1/) | 1372,7 | $1,15 $0,700 masuk · $2,50 keluar | 64K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 53% · +118,3 | [⇄](/compare/?models=deepseek%2Fdeepseek-r1) | | =97 | [GPT-5.4 Nano OpenAI](/models/openai__gpt-5.4-nano/) | 1372,1 | $0,463 $0,200 masuk · $1,25 keluar | 400K | Penalaran Tool | [Pilih GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) hemat 3% · +58,9 | [⇄](/compare/?models=openai%2Fgpt-5.4-nano) | | =97 | [Qwen3 Next 80B A3B Thinking Qwen](/models/qwen__qwen3-next-80b-a3b-thinking/) berhenti 9 Okt 2026 | 1368,3 | $0,413 $0,150 masuk · $1,20 keluar | 262K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 42% · +101,3 | [⇄](/compare/?models=qwen%2Fqwen3-next-80b-a3b-thinking) | | =97 | [Qwen3 235B A22B Qwen](/models/qwen__qwen3-235b-a22b/) berhenti 9 Okt 2026 | 1366,6 | $0,796 $0,455 masuk · $1,82 keluar | 131K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 32% · +124,4 | [⇄](/compare/?models=qwen%2Fqwen3-235b-a22b) | | =98 2 model berbagi peringkat 98 — benchmark tidak bisa memisahkannya $0,065–$26,25 /M · termurah gpt-oss-120b | | | | | | | | | =98 | [o1 OpenAI](/models/openai__o1/) | 1365,8 | $26,25 $15,00 masuk · $60,00 keluar | 200K | Penalaran Tool | [Pilih Claude Opus 5.5](/models/anthropic__claude-opus-5.5/) hemat 70% · +145,9 | [⇄](/compare/?models=openai%2Fo1) | | =98 | [gpt-oss-120b OpenAI](/models/openai__gpt-oss-120b/) | 1365,4 | $0,065 $0,030 masuk · $0,170 keluar | 131K | Penalaran Tool | Undominated tiada lebih baik & lebih murah | [⇄](/compare/?models=openai%2Fgpt-oss-120b) | | 101 | [Nova 2 Lite Amazon](/models/amazon__nova-2-lite-v1/) | 1361,8 | $0,850 $0,300 masuk · $2,50 keluar | 1M | Penalaran Tool | [Pilih Gemini 3.5 Flash Lite](/models/google__gemini-3.5-flash-lite/) harga sama · +72,9 | [⇄](/compare/?models=amazon%2Fnova-2-lite-v1) | | =102 2 model berbagi peringkat 102 — benchmark tidak bisa memisahkannya $0,375–$0,521 /M · termurah Mercury 2 | | | | | | | | | =102 | [MiniMax M2.5 MiniMax](/models/minimax__minimax-m2.5/) | 1359,3 | $0,521 $0,295 masuk · $1,20 keluar | 204K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 54% · +110,3 | [⇄](/compare/?models=minimax%2Fminimax-m2.5) | | =102 | [Mercury 2 Inception](/models/inception__mercury-2/) | 1355,2 | $0,375 $0,250 masuk · $0,750 keluar | 128K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 37% · +114,4 | [⇄](/compare/?models=inception%2Fmercury-2) | | 104 | [Gemma 3 27B Google](/models/google__gemma-3-27b-it/) | 1357,8 | $0,100 $0,080 masuk · $0,160 keluar | 131K | Tool | [Pilih gpt-oss-120b +7,6, dalam margin galat tanpa masukan gambar](/models/openai__gpt-oss-120b/) hemat 35% · +7,6, dalam margin galat | [⇄](/compare/?models=google%2Fgemma-3-27b-it) | | =106 2 model berbagi peringkat 106 — benchmark tidak bisa memisahkannya $0,145–$1,93 /M · termurah GLM 4.7 Flash | | | | | | | | | =106 | [o4 Mini OpenAI](/models/openai__o4-mini/) | 1353,2 | $1,93 $1,10 masuk · $4,40 keluar | 200K | Penalaran Tool | [Pilih GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) hemat 77% · +77,8 | [⇄](/compare/?models=openai%2Fo4-mini) | | =106 | [GLM 4.7 Flash Z.ai](/models/z-ai__glm-4.7-flash/) | 1350,9 | $0,145 $0,060 masuk · $0,400 keluar | 200K | Penalaran Tool | [Pilih Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) hemat 13% · +83,0 | [⇄](/compare/?models=z-ai%2Fglm-4.7-flash) | | 109 | [Qwen3 32B Qwen](/models/qwen__qwen3-32b/) | 1340,1 | $0,130 $0,080 masuk · $0,280 keluar | 131K | Penalaran Tool | [Pilih Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) hemat 3% · +93,8 | [⇄](/compare/?models=qwen%2Fqwen3-32b) | | =110 2 model berbagi peringkat 110 — benchmark tidak bisa memisahkannya $0,525–$0,850 /M · termurah MiniMax M2 | | | | | | | | | =110 | [MiniMax M1 MiniMax](/models/minimax__minimax-m1/) | 1342,8 | $0,850 $0,400 masuk · $2,20 keluar | 1M | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 36% · +148,2 | [⇄](/compare/?models=minimax%2Fminimax-m1) | | =110 | [MiniMax M2 MiniMax](/models/minimax__minimax-m2/) | 1339,9 | $0,525 $0,300 masuk · $1,20 keluar | 204K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 55% · +129,7 | [⇄](/compare/?models=minimax%2Fminimax-m2) | | =112 6 model berbagi peringkat 112 — benchmark tidak bisa memisahkannya $0,075–$6,00 /M · termurah Gemma 3 12B | | | | | | | | | =112 | [GPT-4.1 Mini OpenAI](/models/openai__gpt-4.1-mini/) | 1340,4 | $0,700 $0,400 masuk · $1,60 keluar | 1M | Tool | [Pilih GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) hemat 36% · +90,6 | [⇄](/compare/?models=openai%2Fgpt-4.1-mini) | | =112 | [Trinity Large Thinking Arcee](/models/arcee-ai__trinity-large-thinking/) | 1340,0 | $0,388 $0,250 masuk · $0,800 keluar | 262K | Penalaran Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 39% · +129,6 | [⇄](/compare/?models=arcee-ai%2Ftrinity-large-thinking) | | =112 | [Claude Sonnet 4 Anthropic](/models/anthropic__claude-sonnet-4/) | 1339,1 | $6,00 bertingkat $3,00 masuk · $15,00 keluar | 200K | Penalaran Tool | [Pilih Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) hemat 50% · +157,9 | [⇄](/compare/?models=anthropic%2Fclaude-sonnet-4) | | =112 | [o3 Mini High OpenAI](/models/openai__o3-mini-high/) | 1336,6 | $1,93 $1,10 masuk · $4,40 keluar | 200K | Penalaran Tool | [Pilih GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) hemat 77% · +94,4 | [⇄](/compare/?models=openai%2Fo3-mini-high) | | =112 | [Gemma 3 12B Google](/models/google__gemma-3-12b-it/) | 1334,2 | $0,075 $0,050 masuk · $0,150 keluar | 131K | Tool | [Pilih gpt-oss-120b tanpa masukan gambar](/models/openai__gpt-oss-120b/) hemat 13% · +31,2 | [⇄](/compare/?models=google%2Fgemma-3-12b-it) | | =112 | [GLM 4.5V Z.ai](/models/z-ai__glm-4.5v/) | 1332,8 | $0,900 $0,600 masuk · $1,80 keluar | 65K | Penalaran Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 40% · +158,2 | [⇄](/compare/?models=z-ai%2Fglm-4.5v) | | 113 | [DeepSeek V3 DeepSeek](/models/deepseek__deepseek-chat/) | 1332,5 | $0,500 $0,286 masuk · $1,14 keluar | 163K | Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 53% · +137,1 | [⇄](/compare/?models=deepseek%2Fdeepseek-chat) | | 119 | [Granite 4.2 8B IBM](/models/ibm-granite__granite-4.2-8b/) | 1317,8 | $0,108 $0,060 masuk · $0,250 keluar | 131K | Penalaran Tool | [Pilih gpt-oss-120b](/models/openai__gpt-oss-120b/) hemat 40% · +47,6 | [⇄](/compare/?models=ibm-granite%2Fgranite-4.2-8b) | | 120 | [GPT-5 Nano OpenAI](/models/openai__gpt-5-nano/) | 1320,0 | $0,138 $0,050 masuk · $0,400 keluar | 400K | Penalaran Tool | [Pilih Gemma 4 26B A4B konteks lebih kecil +1](/models/google__gemma-4-26b-a4b-it/) hemat 8% · +113,9 | [⇄](/compare/?models=openai%2Fgpt-5-nano) | | =122 2 model berbagi peringkat 122 — benchmark tidak bisa memisahkannya $0,215–$1,93 /M · termurah Qwen3 30B A3B | | | | | | | | | =122 | [o3 Mini OpenAI](/models/openai__o3-mini/) | 1319,4 | $1,93 $1,10 masuk · $4,40 keluar | 200K | Penalaran Tool | [Pilih GPT-5.6 Luna](/models/openai__gpt-5.6-luna/) hemat 77% · +111,6 | [⇄](/compare/?models=openai%2Fo3-mini) | | =122 | [Qwen3 30B A3B Qwen](/models/qwen__qwen3-30b-a3b/) | 1316,6 | $0,215 $0,120 masuk · $0,500 keluar | 131K | Penalaran Tool | [Pilih DeepSeek V4.1 Flash](/models/deepseek__deepseek-v4.1-flash/) hemat 15% · +145,9 | [⇄](/compare/?models=qwen%2Fqwen3-30b-a3b) | | =126 2 model berbagi peringkat 126 — benchmark tidak bisa memisahkannya $0,063–$7,50 /M · termurah Gemma 3 4B | | | | | | | | | =126 | [GPT-4o (2024-05-13) OpenAI](/models/openai__gpt-4o-2024-05-13/) | 1300,4 | $7,50 $5,00 masuk · $15,00 keluar | 128K | Tool | [Pilih Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) hemat 60% · +196,6 | [⇄](/compare/?models=openai%2Fgpt-4o-2024-05-13) | | =126 | [Gemma 3 4B Google](/models/google__gemma-3-4b-it/) | 1290,8 | $0,063 $0,050 masuk · $0,100 keluar | 131K | | Undominated tiada lebih baik & lebih murah | [⇄](/compare/?models=google%2Fgemma-3-4b-it) | | =127 4 model berbagi peringkat 127 — benchmark tidak bisa memisahkannya $0,036–$4,38 /M · termurah gpt-oss-20b | | | | | | | | | =127 | [gpt-oss-20b OpenAI](/models/openai__gpt-oss-20b/) | 1287,7 | $0,036 $0,018 masuk · $0,090 keluar | 131K | Penalaran Tool | Undominated tiada lebih baik & lebih murah | [⇄](/compare/?models=openai%2Fgpt-oss-20b) | | =127 | [GPT-4o-mini (2024-07-18) OpenAI](/models/openai__gpt-4o-mini-2024-07-18/) | 1286,4 | $0,263 $0,150 masuk · $0,600 keluar | 128K | Tool | [Pilih GPT-6 Luna](/models/openai__gpt-6-luna/) hemat 24% · +105,1 | [⇄](/compare/?models=openai%2Fgpt-4o-mini-2024-07-18) | | =127 | [GPT-4.1 Nano OpenAI](/models/openai__gpt-4.1-nano/) | 1284,8 | $0,175 $0,100 masuk · $0,400 keluar | 1M | Tool | [Pilih MiMo-V2.6-Flash tanpa masukan berkas](/models/xiaomi__mimo-v2.6-flash/) harga sama · +171,6 | [⇄](/compare/?models=openai%2Fgpt-4.1-nano) | | =127 | [GPT-4o (2024-08-06) OpenAI](/models/openai__gpt-4o-2024-08-06/) | 1282,5 | $4,38 $2,50 masuk · $10,00 keluar | 128K | Tool | [Pilih Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) hemat 31% · +214,5 | [⇄](/compare/?models=openai%2Fgpt-4o-2024-08-06) | | 131 | [Llama 3.3 70B Instruct Meta](/models/meta-llama__llama-3.3-70b-instruct/) | 1274,1 | $0,201 $0,135 masuk · $0,400 keluar | 131K | Tool | [Pilih DeepSeek V4.1 Flash](/models/deepseek__deepseek-v4.1-flash/) hemat 9% · +188,4 | [⇄](/compare/?models=meta-llama%2Fllama-3.3-70b-instruct) | | =132 2 model berbagi peringkat 132 — benchmark tidak bisa memisahkannya $0,370–$15,00 /M · termurah Qwen2.5 72B Instruct | | | | | | | | | =132 | [GPT-4 Turbo OpenAI](/models/openai__gpt-4-turbo/) | 1271,7 | $15,00 $10,00 masuk · $30,00 keluar | 128K | Tool | [Pilih Claude Opus 5.5](/models/anthropic__claude-opus-5.5/) hemat 47% · +240,0 | [⇄](/compare/?models=openai%2Fgpt-4-turbo) | | =132 | [Qwen2.5 72B Instruct Qwen](/models/qwen__qwen-2.5-72b-instruct/) | 1269,0 | $0,370 $0,360 masuk · $0,400 keluar | 32K | Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 36% · +200,6 | [⇄](/compare/?models=qwen%2Fqwen-2.5-72b-instruct) | | 133 | [Mistral Large 2407 Mistral](/models/mistralai__mistral-large-2407/) | 1266,1 | $3,00 $2,00 masuk · $6,00 keluar | 131K | Tool | [Pilih Muse Spark 1.3](/models/meta__muse-spark-1.3/) hemat 33% · +223,8 | [⇄](/compare/?models=mistralai%2Fmistral-large-2407) | | 135 | [Llama 3.1 70B Instruct Meta](/models/meta-llama__llama-3.1-70b-instruct/) | 1260,9 | $0,720 $0,720 masuk · $0,720 keluar | 131K | Tool | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 25% · +230,1 | [⇄](/compare/?models=meta-llama%2Fllama-3.1-70b-instruct) | | =137 4 model berbagi peringkat 137 — benchmark tidak bisa memisahkannya $0,058–$4,38 /M · termurah Mistral Small 3 | | | | | | | | | =137 | [Mistral Small 3 Mistral](/models/mistralai__mistral-small-24b-instruct-2501/) | 1233,6 | $0,058 $0,050 masuk · $0,080 keluar | 32K | | [Pilih gpt-oss-20b](/models/openai__gpt-oss-20b/) hemat 37% · +54,1 | [⇄](/compare/?models=mistralai%2Fmistral-small-24b-instruct-2501) | | =137 | [Gemma 2 27B Google](/models/google__gemma-2-27b-it/) | 1231,3 | $0,650 $0,650 masuk · $0,650 keluar | 8K | | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 17% · +259,7 | [⇄](/compare/?models=google%2Fgemma-2-27b-it) | | =137 | [Qwen2.5 Coder 32B Instruct Qwen](/models/qwen__qwen-2.5-coder-32b-instruct/) | 1230,0 | $0,745 $0,660 masuk · $1,00 keluar | 32K | | [Pilih MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) hemat 28% · +261,0 | [⇄](/compare/?models=qwen%2Fqwen-2.5-coder-32b-instruct) | | =137 | [Command R+ (08-2024) Cohere](/models/cohere__command-r-plus-08-2024/) | 1228,9 | $4,38 $2,50 masuk · $10,00 keluar | 128K | Tool | [Pilih Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) hemat 31% · +268,1 | [⇄](/compare/?models=cohere%2Fcommand-r-plus-08-2024) | | 141 | [Phi 4 Microsoft](/models/microsoft__phi-4/) | 1216,7 | $0,088 $0,070 masuk · $0,140 keluar | 16K | | [Pilih gpt-oss-120b](/models/openai__gpt-oss-120b/) hemat 26% · +148,7 | [⇄](/compare/?models=microsoft%2Fphi-4) | | =142 2 model berbagi peringkat 142 — benchmark tidak bisa memisahkannya $0,025–$0,263 /M · termurah Llama 3.1 8B Instruct | | | | | | | | | =142 | [Command R (08-2024) Cohere](/models/cohere__command-r-08-2024/) | 1187,3 | $0,263 $0,150 masuk · $0,600 keluar | 128K | Tool | [Pilih GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) hemat 10% · +282,3 | [⇄](/compare/?models=cohere%2Fcommand-r-08-2024) | | =142 | [Llama 3.1 8B Instruct Meta](/models/meta-llama__llama-3.1-8b-instruct/) | 1186,5 | $0,025 $0,020 masuk · $0,040 keluar | 131K | Tool | Undominated tiada lebih baik & lebih murah | [⇄](/compare/?models=meta-llama%2Fllama-3.1-8b-instruct) | | 144 | [Llama 3.2 3B Instruct Meta](/models/meta-llama__llama-3.2-3b-instruct/) | 1109,5 | $0,120 $0,050 masuk · $0,330 keluar | 131K | | [Pilih DeepSeek V4 Flash 0423](/models/deepseek__deepseek-v4-flash/) hemat 6% · +322,6 | [⇄](/compare/?models=meta-llama%2Fllama-3.2-3b-instruct) | | 145 | [Llama 3.2 1B Instruct Meta](/models/meta-llama__llama-3.2-1b-instruct/) | 1054,6 | $0,071 $0,027 masuk · $0,201 keluar | 60K | | [Pilih gpt-oss-120b](/models/openai__gpt-oss-120b/) hemat 8% · +310,8 | [⇄](/compare/?models=meta-llama%2Fllama-3.2-1b-instruct) | ## Baru dirilis, menunggu nilai - [Nano Banana 2.1](/models/google__gemini-nano-banana-2.1/) Google · dirilis 6 Okt 2026 $3,00/M · konteks 65K menunggu nilai - [Mistral Large 4](/models/mistralai__mistral-large-4-0/) Mistral · dirilis 6 Okt 2026 $2,07/M · konteks 524K menunggu nilai - [Ling 3.1 Flash](/models/inclusionai__ling-3.1-flash/) inclusionAI · dirilis 2 Okt 2026 free · konteks 262K menunggu nilai - [Pareto 26.10 Preview](/models/unbiased__pareto-26.10-preview/) Unbiased · dirilis 1 Okt 2026 $1,40/M · konteks 1M menunggu nilai ## 213 model tidak punya nilai di papan peringkat ini Dikelompokkan menurut pembuat, terbaru dulu. Tanpa nilai di sini tidak sama dengan bernilai buruk. ### OpenAI 35 - [GPT-6.1 Sol Pro](/models/openai__gpt-6.1-sol-pro/) $4,00 - [GPT-6 Luna Pro](/models/openai__gpt-6-luna-pro/) $0,200 - [GPT-6 Sol Pro](/models/openai__gpt-6-sol-pro/) $4,00 - [GPT-6 Astra Pro](/models/openai__gpt-6-astra-pro/) $20,00 - [GPT-5.6 Luna Pro](/models/openai__gpt-5.6-luna-pro/) $0,450 - [GPT-5.6 Sol Pro](/models/openai__gpt-5.6-sol-pro/) $8,00 - [GPT-5.6 Terra Pro](/models/openai__gpt-5.6-terra-pro/) $4,50 - [GPT Chat Latest](/models/openai__gpt-chat-latest/) $11,25 - [GPT-5.5 Pro](/models/openai__gpt-5.5-pro/) $67,50 - [GPT-5.4 Image 2](/models/openai__gpt-5.4-image-2/) $9,75 - [GPT-5.4 Pro](/models/openai__gpt-5.4-pro/) $67,50 - [GPT-5.3-Codex](/models/openai__gpt-5.3-codex/) $4,81 - [GPT Audio](/models/openai__gpt-audio/) $4,38 - [GPT Audio Mini](/models/openai__gpt-audio-mini/) $1,05 - [GPT-5.2-Codex](/models/openai__gpt-5.2-codex/) $4,81 - [GPT-5.2 Chat](/models/openai__gpt-5.2-chat/) $4,81 - [GPT-5.2 Pro](/models/openai__gpt-5.2-pro/) $57,75 - [GPT-5.1-Codex-Max](/models/openai__gpt-5.1-codex-max/) $3,44 - [GPT-5.1-Codex](/models/openai__gpt-5.1-codex/) $3,44 - [GPT-5.1-Codex-Mini](/models/openai__gpt-5.1-codex-mini/) $0,688 - [gpt-oss-safeguard-20b](/models/openai__gpt-oss-safeguard-20b/) $0,131 - [GPT-5 Image Mini](/models/openai__gpt-5-image-mini/) $2,38 - [GPT-5 Image](/models/openai__gpt-5-image/) $10,00 - [GPT-5 Pro](/models/openai__gpt-5-pro/) $41,25 - [o3 Pro](/models/openai__o3-pro/) $35,00 - [o4 Mini High](/models/openai__o4-mini-high/) $1,93 - [o1-pro](/models/openai__o1-pro/) $263 - [GPT-4o (2024-11-20)](/models/openai__gpt-4o-2024-11-20/) $4,38 - [GPT-4o-mini](/models/openai__gpt-4o-mini/) $0,263 - [GPT-4o](/models/openai__gpt-4o/) $4,38 - [GPT-3.5 Turbo (older v0613)](/models/openai__gpt-3.5-turbo-0613/) $1,25 - [GPT-3.5 Turbo Instruct](/models/openai__gpt-3.5-turbo-instruct/) $1,63 - [GPT-3.5 Turbo 16k](/models/openai__gpt-3.5-turbo-16k/) $3,25 - [GPT-3.5 Turbo](/models/openai__gpt-3.5-turbo/) $0,750 - [GPT-4](/models/openai__gpt-4/) $37,50 +32 lainnya ### Qwen 31 - [Qwen3.8 Max Prime](/models/qwen__qwen3.8-max-prime/) $6,00 - [Qwen3.8 Omni Flash](/models/qwen__qwen3.8-omni-flash/) $0,230 - [Qwen3.8 Max (0902)](/models/qwen__qwen3.8-max-0902/) $3,00 - [Qwen3.8 Flash](/models/qwen__qwen3.8-flash/) $0,230 - [Qwen3.8 2.4T A95B](/models/qwen__qwen3.8-2.4t-a95b/) $3,00 - [Qwen3.7 Flash](/models/qwen__qwen3.7-flash/) $0,055 - [Qwen3.7 Max](/models/qwen__qwen3.7-max/) $2,21 - [Qwen3.5 Plus 2026-04-20](/models/qwen__qwen3.5-plus-20260420/) $0,675 - [Qwen3.6 27B](/models/qwen__qwen3.6-27b/) $1,01 - [Qwen3.6 35B A3B](/models/qwen__qwen3.6-35b-a3b/) $0,300 - [Qwen3.6 Flash](/models/qwen__qwen3.6-flash/) $0,422 - [Qwen3.5-9B](/models/qwen__qwen3.5-9b/) $0,113 - [Qwen3.5 Plus 2026-02-15](/models/qwen__qwen3.5-plus-02-15/) $0,585 - [Qwen3 Max Thinking](/models/qwen__qwen3-max-thinking/) $1,56 - [Qwen3 Coder Next](/models/qwen__qwen3-coder-next/) $0,290 - [Qwen3 VL 32B Instruct](/models/qwen__qwen3-vl-32b-instruct/) $0,182 - [Qwen3 VL 8B Instruct](/models/qwen__qwen3-vl-8b-instruct/) $0,202 - [Qwen3 VL 8B Thinking](/models/qwen__qwen3-vl-8b-thinking/) $0,660 - [Qwen3 VL 30B A3B Instruct](/models/qwen__qwen3-vl-30b-a3b-instruct/) $0,228 - [Qwen3 VL 30B A3B Thinking](/models/qwen__qwen3-vl-30b-a3b-thinking/) $0,468 - [Qwen3 Coder Plus](/models/qwen__qwen3-coder-plus/) $1,30 - [Qwen3 Coder Flash](/models/qwen__qwen3-coder-flash/) $0,390 - [Qwen Plus 0728](/models/qwen__qwen-plus-2025-07-28/) $0,390 - [Qwen3 30B A3B Thinking 2507](/models/qwen__qwen3-30b-a3b-thinking-2507/) $0,750 - [Qwen3 Coder 30B A3B Instruct](/models/qwen__qwen3-coder-30b-a3b-instruct/) $0,120 - [Qwen3 Coder 480B A35B](/models/qwen__qwen3-coder/) $0,638 - [Qwen3 14B](/models/qwen__qwen3-14b/) $0,150 - [Qwen3 8B](/models/qwen__qwen3-8b/) $0,202 - [Qwen-Plus](/models/qwen__qwen-plus/) $0,390 - [Qwen2.5 VL 72B Instruct](/models/qwen__qwen2.5-vl-72b-instruct/) $0,850 - [Qwen2.5 7B Instruct](/models/qwen__qwen-2.5-7b-instruct/) $0,125 +28 lainnya ### Mistral 16 - [Mistral Large 4](/models/mistralai__mistral-large-4-0/) $2,07 - [Mistral Small 4](/models/mistralai__mistral-small-2603/) $0,263 - [Ministral 3 14B 2512](/models/mistralai__ministral-14b-2512/) $0,200 - [Ministral 3 3B 2512](/models/mistralai__ministral-3b-2512/) $0,100 - [Ministral 3 8B 2512](/models/mistralai__ministral-8b-2512/) $0,150 - [Mistral Large 3 2512](/models/mistralai__mistral-large-2512/) $0,750 - [Voxtral Small 24B 2507](/models/mistralai__voxtral-small-24b-2507/) $0,150 - [Mistral Medium 3.1](/models/mistralai__mistral-medium-3.1/) $0,800 - [Codestral 2508](/models/mistralai__codestral-2508/) $0,450 - [Mistral Small 3.2 24B](/models/mistralai__mistral-small-3.2-24b-instruct/) $0,106 - [Mistral Medium 3](/models/mistralai__mistral-medium-3/) $0,800 - [Mistral Small 3.1 24B](/models/mistralai__mistral-small-3.1-24b-instruct/) $0,402 - [Saba](/models/mistralai__mistral-saba/) $0,300 - [Mistral Nemo](/models/mistralai__mistral-nemo/) $0,021 - [Mixtral 8x22B Instruct](/models/mistralai__mixtral-8x22b-instruct/) $3,00 - [Mistral Large](/models/mistralai__mistral-large/) $3,00 +13 lainnya ### Google 14 - [Nano Banana 2.1](/models/google__gemini-nano-banana-2.1/) $3,00 - [Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)](/models/google__gemini-3.1-flash-lite-image/) $0,563 - [Nano Banana 2 (Gemini 3.1 Flash Image)](/models/google__gemini-3.1-flash-image/) $1,13 - [Nano Banana Pro (Gemini 3 Pro Image)](/models/google__gemini-3-pro-image/) $4,50 - [Gemini 3.1 Flash Lite](/models/google__gemini-3.1-flash-lite/) $0,563 - [Lyria 3 Clip Preview](/models/google__lyria-3-clip-preview/) tanpa tarif per token - [Lyria 3 Pro Preview](/models/google__lyria-3-pro-preview/) tanpa tarif per token - [Nano Banana 2 (Gemini 3.1 Flash Image Preview)](/models/google__gemini-3.1-flash-image-preview/) $1,13 - [Gemini 3.1 Pro Preview Custom Tools](/models/google__gemini-3.1-pro-preview-customtools/) $4,50 - [Gemini 3 Flash Preview](/models/google__gemini-3-flash-preview/) $1,13 - [Nano Banana Pro (Gemini 3 Pro Image Preview)](/models/google__gemini-3-pro-image-preview/) $4,50 - [Nano Banana (Gemini 2.5 Flash Image)](/models/google__gemini-2.5-flash-image/) $0,850 - [Gemini 2.5 Flash Lite](/models/google__gemini-2.5-flash-lite/) $0,175 - [Gemini 2.5 Pro Preview 06-05](/models/google__gemini-2.5-pro-preview/) $3,44 +11 lainnya ### ByteDance 7 - [Seed 2.1 Turbo](/models/bytedance-seed__seed-2-1-turbo/) $1,00 - [Seed-2.0-Code](/models/bytedance-seed__seed-2.0-code/) $1,13 - [Seed-2.0-Lite](/models/bytedance-seed__seed-2.0-lite/) $0,688 - [Seed-2.0-Mini](/models/bytedance-seed__seed-2.0-mini/) $0,175 - [Seed 1.6](/models/bytedance-seed__seed-1.6/) $0,688 - [Seed 1.6 Flash](/models/bytedance-seed__seed-1.6-flash/) $0,131 - [UI-TARS 7B](/models/bytedance__ui-tars-1.5-7b/) $0,125 +4 lainnya ### Aion Labs 6 - [Aion 3.5](/models/aion-labs__aion-3.5/) $3,75 - [Aion 3.5 Mini](/models/aion-labs__aion-3.5-mini/) $0,875 - [Aion-3.0](/models/aion-labs__aion-3.0/) $3,75 - [Aion-3.0-Mini](/models/aion-labs__aion-3.0-mini/) $0,875 - [Aion-2.0](/models/aion-labs__aion-2.0/) $1,00 - [Aion-RP 1.0 (8B)](/models/aion-labs__aion-rp-llama-3.1-8b/) $1,00 +3 lainnya ### Meta 6 - [Muse Spark 1.3 Contributor](/models/meta__muse-spark-1.3-contributor/) $0,125 - [Muse Spark 1.2 Contributor](/models/meta__muse-spark-1.2-contributor/) $0,125 - [Muse Glimmer 30B](/models/meta__muse-glimmer-30b/) $0,525 - [Llama Guard 4 12B](/models/meta-llama__llama-guard-4-12b/) $0,180 - [Llama 4 Maverick](/models/meta-llama__llama-4-maverick/) $0,415 - [Llama 4 Scout](/models/meta-llama__llama-4-scout/) $0,150 +3 lainnya ### NVIDIA 6 - [Switchyard](/models/nvidia__switchyard/) — - [Nemotron 3.5 Lightning](/models/nvidia__nemotron-3.5-lightning/) $0,085 - [Nemotron 3 Ultra](/models/nvidia__nemotron-3-ultra-550b-a55b/) $1,25 - [Nemotron 3.5 Content Safety](/models/nvidia__nemotron-3.5-content-safety/) $0,200 - [Nemotron 3 Super](/models/nvidia__nemotron-3-super-120b-a12b/) $0,164 - [Nemotron 3 Nano 30B A3B](/models/nvidia__nemotron-3-nano-30b-a3b/) $0,088 +3 lainnya ### OpenRouter 6 - [Auto Router (Beta)](/models/openrouter__auto-beta/) — - [Fusion](/models/openrouter__fusion/) — - [Pareto Code Router](/models/openrouter__pareto-code/) — - [Free Models Router](/models/openrouter__free/) free - [Body Builder (beta)](/models/openrouter__bodybuilder/) — - [Auto Router](/models/openrouter__auto/) — +3 lainnya ### Tencent 6 - [Hy4 preview](/models/tencent__hy4-preview/) $1,25 - [Hy-MT2-1.8B](/models/tencent__hy-mt2-1.8b/) $0,077 - [Hy-MT2-30B-A3B](/models/tencent__hy-mt2-30b-a3b/) $0,129 - [Hy-MT2-7B](/models/tencent__hy-mt2-7b/) $0,129 - [Hy3 preview](/models/tencent__hy3-preview/) $0,285 - [Hunyuan A13B Instruct](/models/tencent__hunyuan-a13b-instruct/) $0,248 +3 lainnya ### Perplexity 5 - [Sonar Pro Search](/models/perplexity__sonar-pro-search/) $6,00 - [Sonar Deep Research](/models/perplexity__sonar-deep-research/) $3,50 - [Sonar Pro](/models/perplexity__sonar-pro/) $6,00 - [Sonar Reasoning Pro](/models/perplexity__sonar-reasoning-pro/) $3,50 - [Sonar](/models/perplexity__sonar/) $1,00 +2 lainnya ### Amazon 4 - [Nova Premier 1.0](/models/amazon__nova-premier-v1/) $5,00 - [Nova Lite 1.0](/models/amazon__nova-lite-v1/) $0,105 - [Nova Micro 1.0](/models/amazon__nova-micro-v1/) $0,061 - [Nova Pro 1.0](/models/amazon__nova-pro-v1/) $1,40 +1 lainnya ### inclusionAI 4 - [Ling 3.1 Flash](/models/inclusionai__ling-3.1-flash/) free - [Ling 3.0 Flash VL](/models/inclusionai__ling-3.0-flash-vl/) $0,090 - [Ling 3.0 Flash Fin](/models/inclusionai__ling-3.0-flash-fin/) $0,111 - [Ling 3.0 Flash](/models/inclusionai__ling-3.0-flash/) $0,090 +1 lainnya ### Moonshot AI 4 - [Kimi K2.7 Code](/models/moonshotai__kimi-k2.7-code/) $1,34 - [Kimi K2 Thinking](/models/moonshotai__kimi-k2-thinking/) $1,08 - [Kimi K2 0905](/models/moonshotai__kimi-k2-0905/) $1,08 - [Kimi K2 0711](/models/moonshotai__kimi-k2/) $1,00 +1 lainnya ### Sakana AI 4 - [Fugu Max](/models/sakana__fugu-max/) $3,00 - [Fugu Ultra v2](/models/sakana__fugu-ultra-v2/) $11,25 - [Sakana Namazu](/models/sakana__sakana-namazu/) $1,71 - [Fugu Ultra](/models/sakana__fugu-ultra/) $11,25 +1 lainnya ### Cohere 3 - [Command A+](/models/cohere__command-a-plus/) $0,600 - [Command A](/models/cohere__command-a/) $4,38 - [Command R7B (12-2024)](/models/cohere__command-r7b-12-2024/) $0,066 ### DeepSeek 3 - [DeepSeek V4 Flash Vision Exp](/models/deepseek__deepseek-v4-flash-vision-exp/) $0,660 - [DeepSeek V4 Pro 0813](/models/deepseek__deepseek-v4-pro-0813/) $1,63 - [DeepSeek V4 Flash 0731](/models/deepseek__deepseek-v4-flash-0731/) $0,090 ### MiniMax 3 - [MiniMax M2-her](/models/minimax__minimax-m2-her/) $0,525 - [MiniMax M2.1](/models/minimax__minimax-m2.1/) $0,525 - [MiniMax-01](/models/minimax__minimax-01/) $0,425 ### Nous Research 3 - [Hermes 4 405B](/models/nousresearch__hermes-4-405b/) $1,50 - [Hermes 3 70B Instruct](/models/nousresearch__hermes-3-llama-3.1-70b/) $0,700 - [Hermes 3 405B Instruct](/models/nousresearch__hermes-3-llama-3.1-405b/) $1,00 ### Sao10k 3 - [Llama 3.3 Euryale 70B](/models/sao10k__l3.3-euryale-70b/) $0,675 - [Llama 3.1 Euryale 70B v2.2](/models/sao10k__l3.1-euryale-70b/) $0,850 - [Llama 3 8B Lunaris](/models/sao10k__l3-lunaris-8b/) $0,043 ### Thedrummer 3 - [Cydonia 24B V4.1](/models/thedrummer__cydonia-24b-v4.1/) $0,350 - [Skyfall 36B V2](/models/thedrummer__skyfall-36b-v2/) $0,613 - [UnslopNemo 12B](/models/thedrummer__unslopnemo-12b/) $0,400 ### xAI 3 - [Grok Build 0.1](/models/x-ai__grok-build-0.1/) $1,25 - [Grok 4.20](/models/x-ai__grok-4.20/) $1,56 - [Grok 4.20 Multi-Agent](/models/x-ai__grok-4.20-multi-agent/) $1,56 ### Z.ai 3 - [GLM 5.3 Prime](/models/z-ai__glm-5.3-prime/) $4,30 - [GLM 5.3 FlashX](/models/z-ai__glm-5.3-flashx/) $0,590 - [GLM 5 Turbo](/models/z-ai__glm-5-turbo/) $1,90 ### Inference Net 2 - [Schematron V2 Small](/models/inference-net__schematron-v2-small/) $0,095 - [Schematron V2 Turbo](/models/inference-net__schematron-v2-turbo/) $0,060 ### Morph 2 - [Morph V3 Fast](/models/morph__morph-v3-fast/) $0,900 - [Morph V3 Large](/models/morph__morph-v3-large/) $1,15 ### Nex Agi 2 - [Nex-N2.5-Mini](/models/nex-agi__nex-n2.5-mini/) $0,044 - [Nex-N2.5-Pro](/models/nex-agi__nex-n2.5-pro/) $0,119 ### Perceptron 2 - [Perceptron Mk1.5](/models/perceptron__perceptron-mk1.5/) $0,488 - [Perceptron Mk1](/models/perceptron__perceptron-mk1/) $0,488 ### Poolside 2 - [Laguna S 2.1](/models/poolside__laguna-s-2.1/) $0,125 - [Laguna XS 2.1](/models/poolside__laguna-xs-2.1/) $0,125 ### Reka 2 - [Reka Edge](/models/rekaai__reka-edge/) $0,100 - [Reka Flash 3](/models/rekaai__reka-flash-3/) $0,125 ### Relace 2 - [Relace Search](/models/relace__relace-search/) $1,50 - [Relace Apply 3](/models/relace__relace-apply-3/) $0,950 ### Unbiased 2 - [Pareto 26.10 Preview](/models/unbiased__pareto-26.10-preview/) $1,40 - [Pareto](/models/unbiased__pareto/) $3,75 ### Upstage 2 - [Solar Mini 4](/models/upstage__solar-mini4/) $0,175 - [Solar Pro 3](/models/upstage__solar-pro-3/) $0,263 ### Anthracite Org 1 - [Magnum v4 72B](/models/anthracite-org__magnum-v4-72b/) $3,13 ### Baidu 1 - [ERNIE 4.5 VL 424B A47B](/models/baidu__ernie-4.5-vl-424b-a47b/) $0,628 ### Cognitivecomputations 1 - [Uncensored](/models/cognitivecomputations__dolphin-mistral-24b-venice-edition/) $0,375 ### Fireworks 1 - [Ember-1](/models/fireworks__ember-1/) $6,00 ### Gryphe 1 - [MythoMax 13B](/models/gryphe__mythomax-l2-13b/) $0,088 ### IBM 1 - [Granite 4.0 Micro](/models/ibm-granite__granite-4.0-h-micro/) $0,041 ### Inception 1 - [Mercury 2.5](/models/inception__mercury-2.5/) $0,338 ### Kwaipilot 1 - [KAT-Coder-Pro V2.5](/models/kwaipilot__kat-coder-pro-v2.5/) $1,30 ### Mancer 1 - [Weaver (alpha)](/models/mancer__weaver/) $0,488 ### Meituan 1 - [LongCat 2.0](/models/meituan__longcat-2.0/) $1,31 ### Microsoft 1 - [WizardLM-2 8x22B](/models/microsoft__wizardlm-2-8x22b/) $0,620 ### Prism Ml 1 - [Ternary Bonsai 2 27B](/models/prism-ml__ternary-bonsai-2-27b/) $0,181 ### StepFun 1 - [Step 3.7 Flash](/models/stepfun__step-3.7-flash/) $0,438 ### Typesafe 1 - [Jev Router](/models/typesafe__jev-router/) — ### Undi95 1 - [ReMM SLERP 13B](/models/undi95__remm-slerp-l2-13b/) $0,425 ### Writer 1 - [Palmyra X5](/models/writer__palmyra-x5/) $1,95 ### Xiaomi 1 - [MiMo-V2.6-Pro-UltraSpeed](/models/xiaomi__mimo-v2.6-pro-ultraspeed/) $5,44 Tampilkan semua 213 model tanpa nilai