Best AI for legal work: 390 models ranked by blind votes
Prompts about law and government work. 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
- 390
- Level with the leader
- 23
- On our price list
- 1
- Published
- 20 October 2026
Level: the votes cannot separate it from the leader.
On LMArena’s Legal board, Gemini 4 Argon (High) from Google leads with 1536 points from 399 blind votes, published 20 October 2026. 22 other models are statistically level with it. None of the models it ranks has an API price on our list yet.
Best AI for legal work
Prompts about law and government work.
| # | Model | Score | Votes | Per 1M tokens, in / out |
|---|---|---|---|---|
| 1 | Gemini 4 Argon (High)Google | 95% interval 1505 to 1566 | 399 | · |
| 1 | Muse Spark 1.2 (xHigh)Meta | 95% interval 1505 to 1548 | 757 | · |
| 1 | Claude Fable 5 (High)Anthropic | 95% interval 1500 to 1521 | 3,627 | · |
| 1 | Claude Opus 4.7 (High)Anthropic | 95% interval 1502 to 1520 | 5,261 | · |
| 1 | Kimi K3 (Max)Moonshot AI · open weights | 95% interval 1498 to 1522 | 2,682 | · |
| 1 | Claude Opus 4.6 (High)Anthropic | 95% interval 1502 to 1518 | 6,744 | · |
| 1 | Muse Wonder (Max)Meta | 95% interval 1478 to 1537 | 441 | · |
| 1 | Claude Opus 4.6Anthropic | 95% interval 1499 to 1515 | 7,001 | · |
| 1 | Claude Opus 5.5 (High)Anthropic | 95% interval 1483 to 1527 | 821 | · |
| 1 | Claude Opus 5 (Max)Anthropic | 95% interval 1492 to 1516 | 2,901 | · |
| 1 | Muse Spark 1.3 (Max)Meta | 95% interval 1487 to 1517 | 1,615 | · |
| 1 | Gemini 3 ProGoogle | 95% interval 1491 to 1512 | 3,027 | · |
| 1 | Claude Opus 5 (High)Anthropic | 95% interval 1492 to 1510 | 5,900 | · |
| 1 | GPT-6.1 Sol (Max)OpenAI | 95% interval 1477 to 1524 | 636 | · |
| 1 | Muse SparkMeta | 95% interval 1481 to 1519 | 1,017 | · |
| 1 | GPT-5.6 Sol (xHigh)OpenAI | 95% interval 1487 to 1509 | 3,544 | · |
| 1 | Claude Opus 4.8Anthropic | 95% interval 1489 to 1506 | 5,523 | · |
| 1 | Muse Spark 1.1Meta | 95% interval 1487 to 1507 | 3,853 | · |
| 1 | Gemini 3.7 Flash (High)Google | 95% interval 1482 to 1507 | 2,461 | · |
| 1 | Claude Fable 5.1 (Max)Anthropic | 95% interval 1475 to 1510 | 1,290 | · |
| 1 | GPT-6 Astra (Max)OpenAI | 95% interval 1474 to 1509 | 1,142 | · |
| 1 | Claude Sonnet 5.5 (xHigh)Anthropic | 95% interval 1463 to 1508 | 698 | · |
| 1 | Qwen3.7-Max-PreviewAlibaba | 95% interval 1447 to 1515 | 312 | · |
| 2 | Gemini 3.1 Pro PreviewGoogle | 95% interval 1492 to 1505 | 10,646 | · |
| 3 | Claude Opus 4.7Anthropic | 95% interval 1487 to 1505 | 5,443 | · |
| 3 | Claude Opus 4.8 (High)Anthropic | 95% interval 1487 to 1504 | 5,440 | · |
| 3 | GPT-5.5 (High)OpenAI | 95% interval 1487 to 1504 | 5,610 | · |
| 5 | GLM-5.2 (Max)Z.ai · open weights | 95% interval 1481 to 1501 | 4,161 | · |
| 5 | Gemini 3.8 Flash (High)Google | 95% interval 1480 to 1501 | 3,650 | · |
| 5 | Qwen3.8-MaxAlibaba | 95% interval 1475 to 1501 | 2,183 | · |
| 5 | DeepSeek-V4-Pro (High, 20260813)DeepSeek · open weights | 95% interval 1460 to 1501 | 825 | · |
| 6 | GPT-5.4 (High)OpenAI | 95% interval 1481 to 1499 | 5,232 | · |
| 7 | Claude Opus 4.5 (High, 32K, 20251101)Anthropic | 95% interval 1476 to 1499 | 2,778 | · |
| 8 | GPT-5.5OpenAI | 95% interval 1477 to 1495 | 5,931 | · |
| 8 | Claude Sonnet 4.6Anthropic | 95% interval 1476 to 1493 | 5,709 | · |
| 8 | Gemini 3.5 Flash (Medium)Google | 95% interval 1474 to 1495 | 3,844 | · |
| 8 | Gemini 3 FlashGoogle | 95% interval 1471 to 1496 | 2,405 | · |
| 8 | GPT-5.2 Chat (20260210)OpenAI | 95% interval 1469 to 1493 | 2,708 | · |
| 8 | Gemini 3.6 Flash (High)Google | 95% interval 1470 to 1492 | 3,017 | · |
| 11 | Claude Opus 4.5 (20251101)Anthropic | 95% interval 1474 to 1491 | 5,430 | · |
| 12 | GPT-5.5 InstantOpenAI | 95% interval 1464 to 1490 | 2,299 | · |
| 13 | Gemini 3.5 Flash (High)Google | 95% interval 1469 to 1489 | 4,083 | · |
| 13 | Grok 4.5xAI | 95% interval 1467 to 1489 | 3,340 | · |
| 13 | GLM-5.3 (Max)Z.ai · open weights | 95% interval 1461 to 1488 | 2,096 | · |
| 18 | Grok 4.20 Beta (Reasoning, 0309)xAI | 95% interval 1469 to 1487 | 5,328 | · |
| 19 | GPT-5.4OpenAI | 95% interval 1466 to 1484 | 5,373 | · |
| 19 | Grok 4.1 (Thinking)xAI | 95% interval 1466 to 1484 | 4,917 | · |
| 19 | MiMo-V2.5-ProXiaomi · open weights | 95% interval 1467 to 1483 | 6,257 | · |
| 19 | Claude Sonnet 5 (High)Anthropic | 95% interval 1465 to 1485 | 4,373 | · |
| 19 | GPT-5.6 Terra (xHigh)OpenAI | 95% interval 1464 to 1485 | 3,831 | · |
| Further down the board: the other models on our price list | ||||
| 211 | gpt-oss-120bOpenAI · open weights | 95% interval 1327 to 1354 | 1,875 | · |
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