Alternatives to GPT-5
OpenAI LMArena 1406.1 $3.44/M on a balanced workload prices as of 2026-10-06
8 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, 60 score at least as high as GPT-5 and cost no more under at least one listed workload, with at least one of those dimensions improved. 58 of them cost less; the rest match the price and have a higher score. 8 match or beat its recorded context, maximum output, input modes, tool use and extended reasoning. 52 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-5 $/M | Recorded capabilities preserved | Recorded capability losses |
|---|---|---|---|
| Balanced | $3.44 | 8 | 50 |
| Summarise | $1.37 | 6 | 47 |
| Chat | $4.41 | 8 | 51 |
| Code gen | $6.41 | 8 | 51 |
| Agentic | $1.89 | 8 | 49 |
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 | 1406.1 |
|---|---|
| Context window | 400K |
| Max output | 128K |
| Input modes | text, image, file |
| Tool use | yes |
| Extended reasoning | yes |
Preserving recorded capabilities requires matching or beating these fields. Full record for GPT-5, or check GPT-5 against the whole catalogue.
Recorded capabilities preserved 8
Each option has a higher score or a lower price, with neither dimension worse under the listed workloads. It matches or beats GPT-5 on recorded context, maximum output, input modes, tool use and extended reasoning.
| # | Model | Intelligence | $/M | Holds under |
|---|---|---|---|---|
| 1 | Muse Spark 1.3 Meta | 1489.9 +83.8 | $2.00 |
|
| 2 | Muse Spark 1.2 Meta | 1483.2 +77.1 | $2.00 |
|
| 3 | Muse Spark 1.1 Meta | 1479.2 +73.1 | $2.00 |
|
| 4 | Grok 4.5 xAI | 1448.1 +42 | $3.00 |
|
| 5 | GPT-5.6 Luna OpenAI | 1431 +24.9 | $0.450 |
|
| 6 | Grok 4.6 xAI | 1427.4 +21.3 | $3.00 |
|
| 7 | GPT-5.1 OpenAI | 1422.2 +16.1 | $3.44 |
|
| 8 | GPT-5.4 Mini OpenAI | 1411.4 tie | $1.69 |
|
Alternatives with recorded capability losses 52
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 |
|---|---|---|---|---|
| MiMo-V2.6-Pro Xiaomi | 1491 +84.9 | $0.540 |
|
|
| Gemini 3.8 Flash Google | 1497 +90.9 | $3.00 |
|
|
| Gemini 3.7 Flash Google | 1487 +80.9 | $3.00 |
|
|
| Gemini 3.6 Flash Google | 1479.5 +73.4 | $1.50 |
|
|
| GLM 5.3 Flash Z.ai | 1469.6 +63.5 | $0.238 |
|
|
| GLM 5.3 Z.ai | 1471.4 +65.3 | $1.00 |
|
|
| Gemini 3.5 Flash Google | 1477.7 +71.6 | $3.38 |
|
|
| GLM 5.2 Z.ai | 1470.4 +64.3 | $1.12 |
|
|
| MiMo-V2.5-Pro Xiaomi | 1465 +58.9 | $0.544 |
|
|
| DeepSeek V4.1 Flash DeepSeek | 1462.5 +56.4 | $0.182 |
|
|
| GLM 5.1 Z.ai | 1461.5 +55.4 | $1.83 |
|
|
| MiMo-V2.6-Flash Xiaomi | 1456.4 +50.3 | $0.175 |
|
|
| Qwen3.7 Plus Qwen | 1454.6 +48.5 | $0.560 |
|
|
| Kimi K2.6 Moonshot AI | 1455.5 +49.4 | $0.961 |
|
|
| Gemini 2.5 Pro Google | 1457.8 +51.7 | $3.44 |
|
|
| GLM 5 Z.ai | 1446.3 +40.2 | $1.09 |
|
|
| Gemma 4 31B Google | 1443.4 +37.3 | $0.205 |
|
|
| Kimi K2.5 Moonshot AI | 1445.2 +39.1 | $1.20 |
|
|
| DeepSeek V4 Pro 0423 DeepSeek | 1445.2 +39.1 | $1.21 |
|
|
| Qwen3.6 Max Preview Qwen | 1446.8 +40.7 | $2.31 |
|
|
| Hy3 Tencent | 1440.7 +34.6 | $0.231 |
|
|
| Qwen3.8 27B Qwen | 1440.7 +34.6 | $0.562 |
|
|
| GLM 4.6 Z.ai | 1439.9 +33.8 | $0.760 |
|
|
| Inkling Thinking Machines | 1441.8 +35.7 | $1.73 |
|
|
| Qwen3.5 397B A17B Qwen | 1438 +31.9 | $0.878 |
|
|
| Qwen3.6 Plus Qwen | 1436.7 +30.6 | $0.731 |
|
|
| Gemma 4 26B A4B Google | 1433.9 +27.8 | $0.127 |
|
|
| GLM 4.7 Z.ai | 1435.5 +29.4 | $0.738 |
|
|
| Gemini 3.5 Flash Lite Google | 1434.7 +28.6 | $0.850 |
|
|
| DeepSeek V4 Flash 0423 DeepSeek | 1432.1 +26 | $0.113 |
|
|
| GLM 5V Turbo Z.ai | 1437.2 +31.1 | $1.90 |
|
|
| MiniMax M3 MiniMax | 1432.1 +26 | $0.485 |
|
|
| GLM 4.5 Z.ai | 1430.3 +24.2 | $1.00 |
|
|
| MiMo-V2.5 Xiaomi | 1427.5 +21.4 | $0.175 |
|
|
| R1 0528 DeepSeek | 1427.9 +21.8 | $0.920 |
|
|
| DeepSeek V3.2 DeepSeek | 1424.5 +18.4 | $0.290 |
|
|
| DeepSeek V3.2 Exp DeepSeek | 1422.4 +16.3 | $0.305 |
|
|
| Qwen3 VL 235B A22B Instruct Qwen | 1420.1 +14 | $0.370 |
|
|
| Qwen3 235B A22B Instruct 2507 Qwen | 1419.3 +13.2 | $0.205 |
|
|
| DeepSeek V3.1 DeepSeek | 1419.7 +13.6 | $0.453 |
|
|
| Qwen3 Next 80B A3B Instruct Qwen | 1417.3 +11.2 | $0.268 |
|
|
| DeepSeek V3.1 Terminus DeepSeek | 1417.1 +11 | $0.453 |
|
|
| Qwen3.5-122B-A10B Qwen | 1417.1 +11 | $0.715 |
|
|
| Gemini 2.5 Flash Google | 1417 +10.9 | $0.850 |
|
|
| Gemini 3.1 Flash Lite Preview Google | 1415.7 tie | $0.563 |
|
|
| Qwen3 235B A22B Thinking 2507 Qwen | 1415.2 tie | $0.748 |
|
|
| Mistral Medium 3.5 Mistral | 1421.2 +15.1 | $3.00 |
|
|
| Inkling Small Thinking Machines | 1413.7 tie | $0.638 |
|
|
| Qwen3 Max Qwen | 1412.4 tie | $1.56 |
|
|
| Qwen3.5-27B Qwen | 1408.9 tie | $0.536 |
|
|
| Kimi K3 Moonshot AI | 1475.9 +69.8 | $1.23 summarise |
|
|
| o3 OpenAI | 1409.9 tie | $3.95 chat |
|
|
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.