Best AI for coding: 412 models ranked by blind votes
Text prompts that ask for code or contain it: writing, fixing and explaining it. 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
- 412
- Level with the leader
- 14
- On our price list
- 1
- Published
- 20 October 2026
Level: the votes cannot separate it from the leader.
On LMArena’s Coding board, Gemini 4 Argon (High) from Google leads with 1559 points from 1,236 blind votes, published 20 October 2026. 13 other models are statistically level with it. None of the models it ranks has an API price on our list yet.
Best AI for coding
Text prompts that ask for code or contain it: writing, fixing and explaining it.
| # | Model | Score | Votes | Per 1M tokens, in / out |
|---|---|---|---|---|
| 1 | Gemini 4 Argon (High)Google | 95% interval 1542 to 1576 | 1,236 | · |
| 1 | Claude Fable 5 (High)Anthropic | 95% interval 1544 to 1557 | 11,128 | · |
| 1 | Claude Opus 4.7 (High)Anthropic | 95% interval 1545 to 1556 | 18,580 | · |
| 1 | Muse Wonder (Max)Meta | 95% interval 1533 to 1567 | 1,234 | · |
| 1 | Claude Opus 5.5 (High)Anthropic | 95% interval 1535 to 1561 | 2,143 | · |
| 1 | Claude Opus 4.6Anthropic | 95% interval 1542 to 1552 | 24,104 | · |
| 1 | Claude Opus 4.6 (High)Anthropic | 95% interval 1542 to 1553 | 21,348 | · |
| 1 | Claude Opus 4.7Anthropic | 95% interval 1540 to 1552 | 18,786 | · |
| 1 | GPT-6 Astra (Max)OpenAI | 95% interval 1532 to 1554 | 2,977 | · |
| 1 | Muse Spark 1.2 (xHigh)Meta | 95% interval 1530 to 1554 | 2,474 | · |
| 1 | Kimi K3 (Max)Moonshot AI · open weights | 95% interval 1532 to 1547 | 8,643 | · |
| 1 | Claude Fable 5.1 (Max)Anthropic | 95% interval 1528 to 1550 | 3,112 | · |
| 1 | MiMo-V2.6-ProXiaomi · open weights | 95% interval 1521 to 1556 | 1,102 | · |
| 1 | GPT-6.1 Sol (Max)OpenAI | 95% interval 1518 to 1550 | 1,462 | · |
| 3 | Muse Spark 1.3 (Max)Meta | 95% interval 1526 to 1544 | 4,958 | · |
| 3 | Claude Sonnet 5.5 (xHigh)Anthropic | 95% interval 1516 to 1544 | 1,914 | · |
| 6 | Qwen3.7-Max-PreviewAlibaba | 95% interval 1505 to 1541 | 1,163 | · |
| 7 | Claude Opus 5 (High)Anthropic | 95% interval 1528 to 1540 | 17,823 | · |
| 7 | GPT-5.6 Sol (xHigh)OpenAI | 95% interval 1527 to 1540 | 11,144 | · |
| 7 | Claude Opus 4.8 (High)Anthropic | 95% interval 1527 to 1539 | 17,413 | · |
| 7 | Muse Spark 1.1Meta | 95% interval 1527 to 1539 | 12,370 | · |
| 7 | Claude Opus 4.5 (High, 32K, 20251101)Anthropic | 95% interval 1523 to 1538 | 7,787 | · |
| 7 | Claude Opus 5 (Max)Anthropic | 95% interval 1522 to 1537 | 8,413 | · |
| 7 | Claude Opus 4.8Anthropic | 95% interval 1524 to 1535 | 18,073 | · |
| 7 | Muse SparkMeta | 95% interval 1519 to 1539 | 3,941 | · |
| 7 | Gemini 3.8 Flash (High)Google | 95% interval 1522 to 1536 | 10,731 | · |
| 8 | Claude Sonnet 4.6Anthropic | 95% interval 1523 to 1534 | 19,732 | · |
| 8 | DeepSeek-V4.1-Flash-20260910 (Max)DeepSeek · open weights | 95% interval 1514 to 1534 | 3,680 | · |
| 11 | GLM-5.3-FlashZ.ai · open weights | 95% interval 1517 to 1531 | 9,192 | · |
| 11 | Qwen3.8-MaxAlibaba | 95% interval 1516 to 1531 | 8,078 | · |
| 11 | GPT-6 Sol (Max)OpenAI | 95% interval 1509 to 1531 | 3,167 | · |
| 12 | Claude Opus 4.5 (20251101)Anthropic | 95% interval 1517 to 1528 | 17,969 | · |
| 12 | GLM-5.3 (Max)Z.ai · open weights | 95% interval 1512 to 1529 | 5,699 | · |
| 17 | Gemini 3.1 Pro PreviewGoogle | 95% interval 1517 to 1526 | 35,474 | · |
| 17 | MiMo-V2.5-ProXiaomi · open weights | 95% interval 1515 to 1526 | 20,773 | · |
| 17 | GPT-5.4 (High)OpenAI | 95% interval 1515 to 1526 | 17,594 | · |
| 17 | Gemini 3.7 Flash (High)Google | 95% interval 1511 to 1526 | 7,905 | · |
| 18 | Claude Sonnet 5 (High)Anthropic | 95% interval 1513 to 1525 | 13,564 | · |
| 18 | Claude Sonnet 4.5 (High, 32K, 20250929)Anthropic | 95% interval 1514 to 1524 | 19,940 | · |
| 18 | GPT-5.5 (High)OpenAI | 95% interval 1513 to 1525 | 19,152 | · |
| 18 | Gemini 3.6 Flash (High)Google | 95% interval 1512 to 1525 | 10,360 | · |
| 18 | GPT-5.6 Terra (xHigh)OpenAI | 95% interval 1511 to 1524 | 11,966 | · |
| 18 | Gemini 3 ProGoogle | 95% interval 1510 to 1524 | 8,805 | · |
| 20 | Kimi K2.6Moonshot AI · open weights | 95% interval 1509 to 1523 | 11,093 | · |
| 23 | GLM-5.2 (Max)Z.ai · open weights | 95% interval 1508 to 1521 | 13,716 | · |
| 23 | GPT-5.2 Chat (20260210)OpenAI | 95% interval 1508 to 1521 | 9,635 | · |
| 23 | GPT-5.5 InstantOpenAI | 95% interval 1506 to 1521 | 7,920 | · |
| 23 | Qwen3.5-Max-PreviewAlibaba | 95% interval 1505 to 1521 | 6,362 | · |
| 24 | Dola Seed 2.0 ProByteDance | 95% interval 1508 to 1519 | 22,067 | · |
| 24 | Grok 4.5xAI | 95% interval 1507 to 1520 | 11,105 | · |
| Further down the board: the other models on our price list | ||||
| 203 | gpt-oss-120bOpenAI · open weights | 95% interval 1381 to 1397 | 6,410 | · |
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