Best AI for medicine and health: 388 models ranked by blind votes
Prompts about medicine and healthcare. Ranked by LMArena’s blind votes, every score with its margin of error and, beside it, the list price of each model on our price list.
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
- 388
- Level with the leader
- 17
- On our price list
- 1
- Published
- 20 October 2026
Level: the votes cannot separate it from the leader.
On LMArena’s Medicine board, Gemini 4 Argon (High) from Google leads with 1551 points from 332 blind votes, published 20 October 2026. 16 other models are statistically level with it. None of the models it ranks has an API price on our list yet.
Best AI for medicine and health
Prompts about medicine and healthcare.
| # | Model | Score | Votes | Per 1M tokens, in / out |
|---|---|---|---|---|
| 1 | Gemini 4 Argon (High)Google | 95% interval 1518 to 1585 | 332 | · |
| 1 | Muse Wonder (Max)Meta | 95% interval 1495 to 1556 | 363 | · |
| 1 | Claude Fable 5.1 (Max)Anthropic | 95% interval 1507 to 1543 | 1,206 | · |
| 1 | Claude Opus 4.6 (High)Anthropic | 95% interval 1509 to 1526 | 6,225 | · |
| 1 | Claude Opus 4.7 (High)Anthropic | 95% interval 1508 to 1526 | 4,957 | · |
| 1 | Muse Spark 1.2 (xHigh)Meta | 95% interval 1490 to 1538 | 660 | · |
| 1 | Kimi K3 (Max)Moonshot AI · open weights | 95% interval 1501 to 1527 | 2,339 | · |
| 1 | Claude Opus 4.7Anthropic | 95% interval 1503 to 1522 | 4,995 | · |
| 1 | Claude Opus 5 (Max)Anthropic | 95% interval 1500 to 1525 | 2,545 | · |
| 1 | Claude Opus 4.6Anthropic | 95% interval 1504 to 1521 | 6,495 | · |
| 1 | Claude Opus 5.5 (High)Anthropic | 95% interval 1486 to 1535 | 654 | · |
| 1 | Gemini 3 ProGoogle | 95% interval 1497 to 1521 | 2,664 | · |
| 1 | Gemini 3.8 Flash (High)Google | 95% interval 1497 to 1521 | 2,962 | · |
| 1 | Qwen3.8-MaxAlibaba | 95% interval 1495 to 1523 | 1,991 | · |
| 1 | DeepSeek-V4.1-Flash-20260910 (Max)DeepSeek · open weights | 95% interval 1485 to 1526 | 910 | · |
| 1 | MiMo-V2.6-ProXiaomi · open weights | 95% interval 1454 to 1528 | 252 | · |
| 1 | Qwen3.7-Max-PreviewAlibaba | 95% interval 1452 to 1519 | 325 | · |
| 2 | Claude Fable 5 (High)Anthropic | 95% interval 1495 to 1518 | 3,084 | · |
| 2 | Gemini 3.1 Pro PreviewGoogle | 95% interval 1498 to 1512 | 9,660 | · |
| 2 | Claude Opus 5 (High)Anthropic | 95% interval 1495 to 1513 | 5,147 | · |
| 2 | Muse Spark 1.3 (Max)Meta | 95% interval 1485 to 1518 | 1,352 | · |
| 2 | Gemini 3.7 Flash (High)Google | 95% interval 1487 to 1515 | 2,096 | · |
| 2 | Claude Opus 4.8 (High)Anthropic | 95% interval 1490 to 1509 | 4,758 | · |
| 2 | Muse Spark 1.1Meta | 95% interval 1489 to 1511 | 3,270 | · |
| 2 | GLM-5.3 (Max)Z.ai · open weights | 95% interval 1485 to 1514 | 1,783 | · |
| 2 | Grok 4.1 (Thinking)xAI | 95% interval 1490 to 1509 | 4,482 | · |
| 2 | Muse SparkMeta | 95% interval 1480 to 1518 | 997 | · |
| 2 | Grok 4.20 Beta 1xAI | 95% interval 1484 to 1511 | 2,018 | · |
| 2 | GPT-5.2 Chat (20260210)OpenAI | 95% interval 1485 to 1510 | 2,608 | · |
| 2 | ERNIE-5.0-Preview (1203)Baidu | 95% interval 1467 to 1512 | 693 | · |
| 2 | GPT-6.1 Sol (Max)OpenAI | 95% interval 1461 to 1512 | 541 | · |
| 2 | Qwen3.6-Max-PreviewAlibaba | 95% interval 1454 to 1517 | 370 | · |
| 4 | Claude Opus 4.8Anthropic | 95% interval 1488 to 1507 | 4,750 | · |
| 4 | GLM-4.7Z.ai · open weights | 95% interval 1467 to 1507 | 826 | · |
| 5 | ERNIE 5.1Baidu | 95% interval 1481 to 1504 | 2,911 | · |
| 5 | Qwen3.5-Max-PreviewAlibaba | 95% interval 1475 to 1505 | 1,653 | · |
| 7 | GLM-5.2 (Max)Z.ai · open weights | 95% interval 1481 to 1502 | 3,768 | · |
| 7 | GLM-5.3-FlashZ.ai · open weights | 95% interval 1477 to 1502 | 2,450 | · |
| 8 | Claude Opus 4.5 (High, 32K, 20251101)Anthropic | 95% interval 1475 to 1500 | 2,426 | · |
| 8 | GPT-5.5 InstantOpenAI | 95% interval 1473 to 1501 | 2,067 | · |
| 9 | Dola Seed 2.0 ProByteDance | 95% interval 1481 to 1499 | 5,833 | · |
| 9 | Gemini 3.5 Flash (Medium)Google | 95% interval 1477 to 1498 | 3,439 | · |
| 12 | Claude Sonnet 4.6Anthropic | 95% interval 1479 to 1496 | 5,434 | · |
| 12 | Claude Opus 4.5 (20251101)Anthropic | 95% interval 1478 to 1496 | 4,918 | · |
| 12 | Grok 4.20 Beta (Reasoning, 0309)xAI | 95% interval 1477 to 1496 | 4,949 | · |
| 12 | GPT-5.5OpenAI | 95% interval 1478 to 1496 | 5,318 | · |
| 12 | DeepSeek-V4-Pro Preview (High)DeepSeek · open weights | 95% interval 1476 to 1496 | 3,850 | · |
| 12 | Gemini 3.5 Flash (High)Google | 95% interval 1474 to 1496 | 3,555 | · |
| 13 | GLM-5.1Z.ai · open weights | 95% interval 1476 to 1495 | 4,587 | · |
| 15 | MiMo-V2.5-ProXiaomi · open weights | 95% interval 1477 to 1495 | 5,449 | · |
| Further down the board: the other models on our price list | ||||
| 186 | gpt-oss-120bOpenAI · open weights | 95% interval 1352 to 1382 | 1,626 | · |
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