Alternatives to GPT-4 Turbo
OpenAI LMArena 1271.7 $15.00/M on a balanced workload prices as of 2026-10-06
83 models are higher-scoring or cheaper, with neither dimension worse.
Of the 144 models carrying both an independent score and a published price at the same delivery mode, 130 score at least as high as GPT-4 Turbo and cost no more under at least one listed workload, with at least one of those dimensions improved. 83 match or beat its recorded context, maximum output, input modes, tool use and extended reasoning. 47 have a recorded capability loss, named on every row.
Dominance is not a property of a model. It is a property of a model, a capability lens and a workload, and all three are named on every row. Scores are LMArena Elo, used under CC BY 4.0 from the official dataset; prices are blended per million tokens. A higher score is not a drop-in replacement.
This page is built only while a candidate improves score or price without worsening the other under a listed workload. When that comparison no longer holds, it is not generated.
Where it holds
| Workload | GPT-4 Turbo $/M | Recorded capabilities preserved | Recorded capability losses |
|---|---|---|---|
| Balanced | $15.00 | 80 | 47 |
| Summarise | $11.00 | 83 | 47 |
| Chat | $18.00 | 80 | 47 |
| Code gen | $22.00 | 80 | 47 |
| Agentic | $13.00 | 83 | 47 |
Workload mixes are defined on the methodology page. Cached input is priced at the cached rate, and reasoning tokens at the worse of the reasoning and output rates.
What you would be replacing
| Intelligence | 1271.7 |
|---|---|
| Context window | 128K |
| Max output | 4K |
| Input modes | text, image |
| Tool use | yes |
| Extended reasoning | no |
Preserving recorded capabilities requires matching or beating these fields. Full record for GPT-4 Turbo, or check GPT-4 Turbo against the whole catalogue.
Recorded capabilities preserved 83
Each option has a higher score or a lower price, with neither dimension worse under the listed workloads. It matches or beats GPT-4 Turbo on recorded context, maximum output, input modes, tool use and extended reasoning.
| # | Model | Intelligence | $/M | Holds under |
|---|---|---|---|---|
| 1 | Claude Opus 5.5 Anthropic | 1511.7 +240 | $8.00 |
|
| 2 | Claude Opus 4.6 Anthropic | 1503.2 +231.5 | $10.00 |
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| 3 | Claude Opus 5 Anthropic | 1502.1 +230.4 | $10.00 |
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| 4 | Gemini 3.8 Flash Google | 1497 +225.3 | $3.00 |
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| 5 | MiMo-V2.6-Pro Xiaomi | 1491 +219.3 | $0.540 |
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| 6 | Muse Spark 1.3 Meta | 1489.9 +218.2 | $2.00 |
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| 7 | Gemini 3.7 Flash Google | 1487 +215.3 | $3.00 |
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| 8 | Claude Opus 4.7 Anthropic | 1489.9 +218.2 | $10.00 |
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| 9 | Muse Spark 1.2 Meta | 1483.2 +211.5 | $2.00 |
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| 10 | Gemini 3.6 Flash Google | 1479.5 +207.8 | $1.50 |
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| 11 | Muse Spark 1.1 Meta | 1479.2 +207.5 | $2.00 |
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| 12 | Gemini 3.1 Pro Preview Google | 1480.2 +208.5 | $4.50 |
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| 13 | Gemini 3.5 Flash Google | 1477.7 +206 | $3.38 |
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| 14 | Kimi K3 Moonshot AI | 1475.9 +204.2 | $3.76 |
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| 15 | GLM 5.3 Flash Z.ai | 1469.6 +197.9 | $0.238 |
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| 16 | Claude Sonnet 5.5 Anthropic | 1466.6 +194.9 | $4.00 |
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| 17 | DeepSeek V4.1 Flash DeepSeek | 1462.5 +190.8 | $0.182 |
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| 18 | GPT-5.5 OpenAI | 1466.8 +195.1 | $11.25 |
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| 19 | MiMo-V2.6-Flash Xiaomi | 1456.4 +184.7 | $0.175 |
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| 20 | Gemini 2.5 Pro Google | 1457.8 +186.1 | $3.44 |
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| 21 | Kimi K2.6 Moonshot AI | 1455.5 +183.8 | $0.961 |
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| 22 | Claude Opus 4.8 Anthropic | 1461 +189.3 | $10.00 |
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| 23 | Qwen3.7 Plus Qwen | 1454.6 +182.9 | $0.560 |
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| 24 | Claude Sonnet 4.6 Anthropic | 1457.8 +186.1 | $6.00 |
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| 25 | GPT-5.6 Sol OpenAI | 1456.3 +184.6 | $8.00 |
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| 26 | GPT-5.4 OpenAI | 1452.2 +180.5 | $5.63 |
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| 27 | Grok 4.5 xAI | 1448.1 +176.4 | $3.00 |
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| 28 | Kimi K2.5 Moonshot AI | 1445.2 +173.5 | $1.20 |
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| 29 | Claude Opus 4.5 Anthropic | 1451 +179.3 | $10.00 |
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| 30 | GPT-5.6 Terra OpenAI | 1446.3 +174.6 | $4.50 |
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| 31 | Gemma 4 31B Google | 1443.4 +171.7 | $0.205 |
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| 32 | GPT-6.1 Sol OpenAI | 1445.6 +173.9 | $4.00 |
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| 33 | Inkling Thinking Machines | 1441.8 +170.1 | $1.73 |
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| 34 | Qwen3.8 27B Qwen | 1440.7 +169 | $0.562 |
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| 35 | Claude Sonnet 5 Anthropic | 1442.9 +171.2 | $4.00 |
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| 36 | Qwen3.5 397B A17B Qwen | 1438 +166.3 | $0.878 |
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| 37 | Qwen3.6 Plus Qwen | 1436.7 +165 | $0.731 |
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| 38 | GLM 5V Turbo Z.ai | 1437.2 +165.5 | $1.90 |
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| 39 | Claude Sonnet 4.5 Anthropic | 1438.6 +166.9 | $6.00 |
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| 40 | Gemini 3.5 Flash Lite Google | 1434.7 +163 | $0.850 |
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| 41 | Gemma 4 26B A4B Google | 1433.9 +162.2 | $0.127 |
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| 42 | MiniMax M3 MiniMax | 1432.1 +160.4 | $0.485 |
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| 43 | GPT-5.6 Luna OpenAI | 1431 +159.3 | $0.450 |
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| 44 | MiMo-V2.5 Xiaomi | 1427.5 +155.8 | $0.175 |
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| 45 | Grok 4.6 xAI | 1427.4 +155.7 | $3.00 |
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| 46 | GPT-5.1 OpenAI | 1422.2 +150.5 | $3.44 |
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| 47 | Qwen3 VL 235B A22B Instruct Qwen | 1420.1 +148.4 | $0.370 |
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| 48 | Mistral Medium 3.5 Mistral | 1421.2 +149.5 | $3.00 |
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| 49 | Qwen3.5-122B-A10B Qwen | 1417.1 +145.4 | $0.715 |
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| 50 | Gemini 2.5 Flash Google | 1417 +145.3 | $0.850 |
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| 51 | Gemini 3.1 Flash Lite Preview Google | 1415.7 +144 | $0.563 |
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| 52 | Inkling Small Thinking Machines | 1413.7 +142 | $0.638 |
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| 53 | GPT-5.4 Mini OpenAI | 1411.4 +139.7 | $1.69 |
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| 54 | GPT-5.2 OpenAI | 1412.3 +140.6 | $4.81 |
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| 55 | Qwen3.5-27B Qwen | 1408.9 +137.2 | $0.536 |
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| 56 | o3 OpenAI | 1409.9 +138.2 | $3.50 |
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| 57 | GPT-5 OpenAI | 1406.1 +134.4 | $3.44 |
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| 58 | Qwen3 VL 235B A22B Thinking Qwen | 1400.7 +129 | $1.30 |
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| 59 | Grok 4.7 xAI | 1399.9 +128.2 | $3.00 |
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| 60 | Qwen3.5-Flash Qwen | 1397 +125.3 | $0.114 |
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| 61 | Grok 4.3 xAI | 1396.7 +125 | $1.56 |
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| 62 | Claude Haiku 4.5 Anthropic | 1396.1 +124.4 | $2.00 |
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| 63 | Qwen3.5-35B-A3B Qwen | 1394.4 +122.7 | $0.355 |
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| 64 | GPT-6 Sol OpenAI | 1395.4 +123.7 | $4.00 |
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| 65 | GPT-6 Luna OpenAI | 1391.5 +119.8 | $0.200 |
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| 66 | GPT-4.1 OpenAI | 1383 +111.3 | $3.50 |
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| 67 | GLM 4.6V Z.ai | 1376.8 +105.1 | $0.450 |
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| 68 | GPT-5 Mini OpenAI | 1373.2 +101.5 | $0.688 |
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| 69 | GPT-5.4 Nano OpenAI | 1372.1 +100.4 | $0.463 |
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| 70 | Nova 2 Lite Amazon | 1361.8 +90.1 | $0.850 |
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| 71 | Gemma 3 27B Google | 1357.8 +86.1 | $0.100 |
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| 72 | o4 Mini OpenAI | 1353.2 +81.5 | $1.93 |
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| 73 | GPT-4.1 Mini OpenAI | 1340.4 +68.7 | $0.700 |
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| 74 | Claude Sonnet 4 Anthropic | 1339.1 +67.4 | $6.00 |
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| 75 | Gemma 3 12B Google | 1334.2 +62.5 | $0.075 |
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| 76 | GPT-5 Nano OpenAI | 1320 +48.3 | $0.138 |
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| 77 | GPT-4o (2024-05-13) OpenAI | 1300.4 +28.7 | $7.50 |
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| 78 | GPT-4o-mini (2024-07-18) OpenAI | 1286.4 +14.7 | $0.263 |
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| 79 | GPT-4.1 Nano OpenAI | 1284.8 +13.1 | $0.175 |
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| 80 | GPT-4o (2024-08-06) OpenAI | 1282.5 +10.8 | $4.38 |
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| 81 | Claude Fable 5.1 Anthropic | 1510.6 +238.9 | $9.22 summarise |
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| 82 | Claude Fable 5 Anthropic | 1491.7 +220 | $9.44 summarise |
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| 83 | GPT-6 Astra OpenAI | 1442.3 +170.6 | $9.44 summarise |
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Alternatives with recorded capability losses 47
These improve score or price without worsening the other under the listed workloads, but reduce at least one recorded capability. Read the last column before switching.
| Model | Intelligence | $/M | Holds under | Recorded capability loss |
|---|---|---|---|---|
| GLM 5.3 Z.ai | 1471.4 +199.7 | $1.00 |
|
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| GLM 5.2 Z.ai | 1470.4 +198.7 | $1.12 |
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| MiMo-V2.5-Pro Xiaomi | 1465 +193.3 | $0.544 |
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| GLM 5.1 Z.ai | 1461.5 +189.8 | $1.83 |
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| GLM 5 Z.ai | 1446.3 +174.6 | $1.09 |
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| Qwen3.6 Max Preview Qwen | 1446.8 +175.1 | $2.31 |
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| DeepSeek V4 Pro 0423 DeepSeek | 1445.2 +173.5 | $1.21 |
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| Hy3 Tencent | 1440.7 +169 | $0.231 |
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| GLM 4.6 Z.ai | 1439.9 +168.2 | $0.760 |
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| GLM 4.7 Z.ai | 1435.5 +163.8 | $0.738 |
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| DeepSeek V4 Flash 0423 DeepSeek | 1432.1 +160.4 | $0.113 |
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| GLM 4.5 Z.ai | 1430.3 +158.6 | $1.00 |
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| R1 0528 DeepSeek | 1427.9 +156.2 | $0.920 |
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| DeepSeek V3.2 DeepSeek | 1424.5 +152.8 | $0.290 |
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| DeepSeek V3.2 Exp DeepSeek | 1422.4 +150.7 | $0.305 |
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| DeepSeek V3.1 DeepSeek | 1419.7 +148 | $0.453 |
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| Qwen3 235B A22B Instruct 2507 Qwen | 1419.3 +147.6 | $0.205 |
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| Qwen3 Next 80B A3B Instruct Qwen | 1417.3 +145.6 | $0.268 |
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| DeepSeek V3.1 Terminus DeepSeek | 1417.1 +145.4 | $0.453 |
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| Qwen3 235B A22B Thinking 2507 Qwen | 1415.2 +143.5 | $0.748 |
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| Qwen3 Max Qwen | 1412.4 +140.7 | $1.56 |
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| MiniMax M2.7 MiniMax | 1404.6 +132.9 | $0.525 |
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| Step 3.5 Flash StepFun | 1403 +131.3 | $0.150 |
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| Solar Pro 4 Upstage | 1386.2 +114.5 | $0.525 |
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| Qwen3 30B A3B Instruct 2507 Qwen | 1384.1 +112.4 | $0.143 |
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| GLM 4.5 Air Z.ai | 1383.9 +112.2 | $0.310 |
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| DeepSeek V3 0324 DeepSeek | 1375 +103.3 | $0.438 |
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| R1 DeepSeek | 1372.7 +101 | $1.15 |
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| Qwen3 Next 80B A3B Thinking Qwen | 1368.3 +96.6 | $0.413 |
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| Qwen3 235B A22B Qwen | 1366.6 +94.9 | $0.796 |
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| gpt-oss-120b OpenAI | 1365.4 +93.7 | $0.065 |
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| MiniMax M2.5 MiniMax | 1359.3 +87.6 | $0.521 |
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| Mercury 2 Inception | 1355.2 +83.5 | $0.375 |
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| GLM 4.7 Flash Z.ai | 1350.9 +79.2 | $0.145 |
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| MiniMax M1 MiniMax | 1342.8 +71.1 | $0.850 |
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| Qwen3 32B Qwen | 1340.1 +68.4 | $0.130 |
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| Trinity Large Thinking Arcee | 1340 +68.3 | $0.388 |
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| MiniMax M2 MiniMax | 1339.9 +68.2 | $0.525 |
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| o3 Mini High OpenAI | 1336.6 +64.9 | $1.93 |
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| GLM 4.5V Z.ai | 1332.8 +61.1 | $0.900 |
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| DeepSeek V3 DeepSeek | 1332.5 +60.8 | $0.500 |
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| o3 Mini OpenAI | 1319.4 +47.7 | $1.93 |
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| Granite 4.2 8B IBM | 1317.8 +46.1 | $0.108 |
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| Qwen3 30B A3B Qwen | 1316.6 +44.9 | $0.215 |
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| Gemma 3 4B Google | 1290.8 +19.1 | $0.063 |
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| gpt-oss-20b OpenAI | 1287.7 +16 | $0.036 |
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| Llama 3.3 70B Instruct Meta | 1274.1 tie | $0.201 |
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What this compares, and what it leaves out
- Quality is LMArena Elo, used under CC BY 4.0 from the official dataset. The 95% confidence interval on a difference between two scores is about ±10.47 points, so a gap smaller than that is marked tie rather than an improvement — see significance bands.
- 204 further models at this delivery mode carry a price but no independent score. They are absent from the comparison in both directions — unrated is not a zero, and an unmeasured model is neither an alternative nor a worse buy.
- Retired models are never offered as an alternative, and a model only competes against its own delivery mode: batch trades latency for price, so it is not a like-for-like swap.
- Nothing here measures latency, throughput, rate limits or how a model behaves on your prompts. Two models with the same index score are not interchangeable.
- Models with no higher-scoring or cheaper alternative that is no worse on the other axis are on the value frontier. Models with such an alternative are listed here.