AI leaderboard · Legal

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.

Top score
1536Gemini 4 Argon (High) from Google
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.

LMArena scores of 51 AI models, with their 95% intervals, votes and list prices
#ModelScoreVotesPer 1M tokens, in / out
1Gemini 4 Argon (High)Google153695% interval 1505 to 1566399·
1Muse Spark 1.2 (xHigh)Meta152795% interval 1505 to 1548757·
1Claude Fable 5 (High)Anthropic151195% interval 1500 to 15213,627·
1Claude Opus 4.7 (High)Anthropic151195% interval 1502 to 15205,261·
1Kimi K3 (Max)Moonshot AI · open weights151095% interval 1498 to 15222,682·
1Claude Opus 4.6 (High)Anthropic151095% interval 1502 to 15186,744·
1Muse Wonder (Max)Meta150895% interval 1478 to 1537441·
1Claude Opus 4.6Anthropic150795% interval 1499 to 15157,001·
1Claude Opus 5.5 (High)Anthropic150595% interval 1483 to 1527821·
1Claude Opus 5 (Max)Anthropic150495% interval 1492 to 15162,901·
1Muse Spark 1.3 (Max)Meta150295% interval 1487 to 15171,615·
1Gemini 3 ProGoogle150195% interval 1491 to 15123,027·
1Claude Opus 5 (High)Anthropic150195% interval 1492 to 15105,900·
1GPT-6.1 Sol (Max)OpenAI150195% interval 1477 to 1524636·
1Muse SparkMeta150095% interval 1481 to 15191,017·
1GPT-5.6 Sol (xHigh)OpenAI149895% interval 1487 to 15093,544·
1Claude Opus 4.8Anthropic149895% interval 1489 to 15065,523·
1Muse Spark 1.1Meta149795% interval 1487 to 15073,853·
1Gemini 3.7 Flash (High)Google149595% interval 1482 to 15072,461·
1Claude Fable 5.1 (Max)Anthropic149295% interval 1475 to 15101,290·
1GPT-6 Astra (Max)OpenAI149195% interval 1474 to 15091,142·
1Claude Sonnet 5.5 (xHigh)Anthropic148595% interval 1463 to 1508698·
1Qwen3.7-Max-PreviewAlibaba148195% interval 1447 to 1515312·
2Gemini 3.1 Pro PreviewGoogle149995% interval 1492 to 150510,646·
3Claude Opus 4.7Anthropic149695% interval 1487 to 15055,443·

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