AI model leaderboard: 417 models ranked by blind votes
Which AI model is best, going by LMArena’s blind votes: people put one prompt to two anonymous models and pick the better answer. Every score keeps its margin of error, and beside it sits the list price, so you see what the top costs.
Scores from LMArena, published 20 October 2026, under CC BY 4.0. Prices from each maker’s pricing page, read on 15 October 2026.
- Models ranked
- 417
- Level with the leader
- 3
- On our price list
- 1
- Published
- 20 October 2026
Level: the votes cannot separate it from the leader.
On LMArena’s Overall board, Gemini 4 Argon (High) from Google leads with 1524 points from 4,900 blind votes, published 20 October 2026. 2 other models are statistically level with it. None of the models it ranks has an API price on our list yet.
Best AI models overall
Every text prompt on the arena, scored with style control so that a longer or more heavily formatted answer does not win on looks alone.
| # | Model | Score | Votes | Per 1M tokens, in / out |
|---|---|---|---|---|
| 1 | Gemini 4 Argon (High)Google | 95% interval 1515 to 1533 | 4,900 | · |
| 1 | Muse Wonder (Max)Meta | 95% interval 1501 to 1518 | 5,099 | · |
| 1 | Claude Opus 5.5 (High)Anthropic | 95% interval 1502 to 1516 | 9,496 | · |
| 2 | Claude Fable 5 (High)Anthropic | 95% interval 1499 to 1508 | 43,399 | · |
| 2 | Claude Opus 4.6 (High)Anthropic | 95% interval 1499 to 1506 | 82,619 | · |
| 2 | Claude Fable 5.1 (Max)Anthropic | 95% interval 1497 to 1509 | 15,623 | · |
| 2 | Claude Opus 4.7 (High)Anthropic | 95% interval 1497 to 1505 | 65,131 | · |
| 3 | Gemini 3.8 Flash (High)Google | 95% interval 1492 to 1501 | 41,423 | · |
| 4 | Claude Opus 4.6Anthropic | 95% interval 1494 to 1500 | 87,372 | · |
| 4 | Muse Spark 1.3 (Max)Meta | 95% interval 1489 to 1500 | 19,323 | · |
| 6 | Claude Opus 4.7Anthropic | 95% interval 1490 to 1498 | 66,185 | · |
| 6 | Muse Spark 1.2 (xHigh)Meta | 95% interval 1485 to 1499 | 9,578 | · |
| 8 | Claude Opus 5 (Max)Anthropic | 95% interval 1486 to 1496 | 33,683 | · |
| 8 | Muse Spark 1.1Meta | 95% interval 1486 to 1495 | 44,815 | · |
| 8 | Claude Opus 5 (High)Anthropic | 95% interval 1487 to 1494 | 69,307 | · |
| 8 | Muse SparkMeta | 95% interval 1483 to 1495 | 14,153 | · |
| 8 | Gemini 3.7 Flash (High)Google | 95% interval 1484 to 1494 | 29,177 | · |
| 9 | Kimi K3 (Max)Moonshot AI · open weights | 95% interval 1484 to 1493 | 34,325 | · |
| 11 | Gemini 3.1 Pro PreviewGoogle | 95% interval 1484 to 1490 | 129,523 | · |
| 12 | Gemini 3 ProGoogle | 95% interval 1482 to 1489 | 42,059 | · |
| 12 | GPT-5.6 Sol (xHigh)OpenAI | 95% interval 1480 to 1489 | 41,803 | · |
| 12 | Gemini 3.6 Flash (High)Google | 95% interval 1479 to 1487 | 36,079 | · |
| 12 | Qwen3.8-MaxAlibaba | 95% interval 1478 to 1487 | 29,418 | · |
| 12 | MiMo-V2.6-ProXiaomi · open weights | 95% interval 1470 to 1489 | 4,065 | · |
| 12 | GPT-6.1 Sol (Max)OpenAI | 95% interval 1472 to 1487 | 7,453 | · |
| 15 | GLM-5.3 (Max)Z.ai · open weights | 95% interval 1476 to 1486 | 24,035 | · |
| 16 | GPT-5.5 (High)OpenAI | 95% interval 1478 to 1485 | 69,340 | · |
| 16 | Claude Opus 4.8 (High)Anthropic | 95% interval 1477 to 1485 | 64,063 | · |
| 16 | Claude Sonnet 5.5 (xHigh)Anthropic | 95% interval 1470 to 1484 | 8,126 | · |
| 18 | Qwen3.7-Max-PreviewAlibaba | 95% interval 1464 to 1484 | 3,942 | · |
| 21 | Gemini 3.5 Flash (High)Google | 95% interval 1474 to 1481 | 48,479 | · |
| 21 | GPT-5.5OpenAI | 95% interval 1473 to 1480 | 70,970 | · |
| 21 | GPT-6 Astra (Max)OpenAI | 95% interval 1469 to 1482 | 13,293 | · |
| 21 | DeepSeek-V4.1-Flash-20260910 (Max)DeepSeek · open weights | 95% interval 1469 to 1482 | 13,444 | · |
| 22 | GLM-5.2 (Max)Z.ai · open weights | 95% interval 1472 to 1480 | 51,221 | · |
| 22 | Gemini 3.5 Flash (Medium)Google | 95% interval 1472 to 1480 | 47,228 | · |
| 22 | GPT-5.2 Chat (20260210)OpenAI | 95% interval 1471 to 1480 | 35,991 | · |
| 22 | GPT-5.4 (High)OpenAI | 95% interval 1472 to 1479 | 64,755 | · |
| 22 | GLM-5.3-FlashZ.ai · open weights | 95% interval 1470 to 1480 | 36,095 | · |
| 22 | Grok 4.20 Beta 1xAI | 95% interval 1470 to 1479 | 27,918 | · |
| 23 | Claude Opus 4.8Anthropic | 95% interval 1471 to 1478 | 65,151 | · |
| 23 | GPT-5.5 InstantOpenAI | 95% interval 1468 to 1478 | 27,154 | · |
| 25 | Claude Opus 4.5 (High, 32K, 20251101)Anthropic | 95% interval 1470 to 1478 | 37,500 | · |
| 26 | Gemini 3 FlashGoogle | 95% interval 1468 to 1477 | 31,311 | · |
| 27 | Claude Sonnet 4.6Anthropic | 95% interval 1469 to 1476 | 70,931 | · |
| 27 | Grok 4.20 Beta (Reasoning, 0309)xAI | 95% interval 1468 to 1475 | 66,403 | · |
| 27 | Grok 4.20 Multi-Agent Beta (0309)xAI | 95% interval 1467 to 1474 | 64,920 | · |
| 29 | Claude Opus 4.5 (20251101)Anthropic | 95% interval 1467 to 1473 | 72,863 | · |
| 32 | ERNIE 5.1Baidu | 95% interval 1463 to 1472 | 39,447 | · |
| 34 | GPT-5.6 Terra (xHigh)OpenAI | 95% interval 1463 to 1471 | 45,201 | · |
| Further down the board: the other models on our price list | ||||
| 207 | gpt-oss-120bOpenAI · open weights | 95% interval 1348 to 1356 | 30,213 | · |
Where the ranking comes from
The scores, intervals and ranks are LMArena’s. The prices are ours.
- Blind votes
- LMArena puts the same prompt to two anonymous models and asks the person who wrote it to pick the better answer. The votes place every model on one scale, where a gap of 100 points means the higher model wins about 64 times in 100.
- Style control
- The scores discount answer length and formatting, so a model does not climb by writing more or by adding headings and lists.
- Shared ranks
- A model’s rank is one plus the number of models whose whole 95% interval sits above its own. Models the votes cannot separate share a rank, which is why several can be first.
- Settings
- A model can appear more than once, at different reasoning settings: the line under its name gives the entry as LMArena lists it. Entries with web search switched on are a different product and carry no price.
- Prices
- The list price per million tokens from the maker’s own pricing page, read on 15 October 2026. It is a price per token, not per answer: a higher reasoning setting spends more tokens on the same question.
Source: LMArena, leaderboard dataset (revision 9041150e, published 20 October 2026), licensed under CC BY 4.0. We change no score: we add the prices and the links to our model pages.
What each of them costs to run
The price list works three everyday jobs on every model, and our own benchmark runs them on real business tasks to see which pass.
Scores published 20 October 2026