AI leaderboard · Math

Best AI for math: 403 models ranked by blind votes

Prompts that pose a math problem to work through. 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
1529Gemini 4 Argon (High) from Google
Models ranked
403
Level with the leader
24
On our price list
1
Published
20 October 2026

Level: the votes cannot separate it from the leader.

On LMArena’s Math board, Gemini 4 Argon (High) from Google leads with 1529 points from 273 blind votes, published 20 October 2026. 23 other models are statistically level with it. None of the models it ranks has an API price on our list yet.

Best AI for math

Prompts that pose a math problem to work through.

LMArena scores of 51 AI models, with their 95% intervals, votes and list prices
#ModelScoreVotesPer 1M tokens, in / out
1Gemini 4 Argon (High)Google152995% interval 1494 to 1563273·
1Claude Fable 5.1 (Max)Anthropic152795% interval 1506 to 1549746·
1Gemini 3.8 Flash (High)Google152695% interval 1513 to 15402,094·
1Claude Fable 5 (High)Anthropic152195% interval 1508 to 15342,161·
1Claude Opus 5 (High)Anthropic152195% interval 1510 to 15323,315·
1Claude Opus 5 (Max)Anthropic151895% interval 1503 to 15331,597·
1Claude Opus 4.6 (High)Anthropic151795% interval 1507 to 15264,248·
1Claude Opus 5.5 (High)Anthropic151295% interval 1486 to 1538491·
1GPT-6.1 Sol (Max)OpenAI151295% interval 1484 to 1540390·
1Gemini 3.7 Flash (High)Google150795% interval 1491 to 15221,501·
1Gemini 3.6 Flash (High)Google150495% interval 1490 to 15191,760·
1Muse Spark 1.3 (Max)Meta150495% interval 1485 to 1523948·
1GLM-5.3-FlashZ.ai · open weights150495% interval 1490 to 15181,820·
1Claude Opus 4.6Anthropic150495% interval 1495 to 15134,741·
1Claude Opus 4.7 (High)Anthropic150495% interval 1493 to 15143,293·
1Claude Sonnet 5.5 (xHigh)Anthropic150095% interval 1472 to 1529416·
1Kimi K3 (Max)Moonshot AI · open weights150095% interval 1485 to 15151,535·
1Qwen3.8-MaxAlibaba149995% interval 1483 to 15141,481·
1Muse Wonder (Max)Meta149895% interval 1465 to 1532277·
1GLM-5.3 (Max)Z.ai · open weights149895% interval 1480 to 15161,023·
1DeepSeek-V4.1-Flash-20260910 (Max)DeepSeek · open weights149495% interval 1473 to 1516704·
1Muse Spark 1.2 (xHigh)Meta149195% interval 1465 to 1518484·
1MiMo-V2.6-ProXiaomi · open weights148995% interval 1449 to 1529215·
1Qwen3.7-Max-PreviewAlibaba148495% interval 1446 to 1522233·
2GPT-5.5OpenAI150095% interval 1490 to 15113,518·

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