Best AI for long prompts: 395 models ranked by blind votes
The longest prompts on the arena, such as a pasted document with a question about 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
- 395
- Level with the leader
- 2
- On our price list
- 1
- Published
- 20 October 2026
Level: the votes cannot separate it from the leader.
On LMArena’s Long prompts board, Gemini 4 Argon (High) from Google leads with 1543 points from 2,063 blind votes, published 20 October 2026. One other model is statistically level with it. None of the models it ranks has an API price on our list yet.
Best AI for long prompts
The longest prompts on the arena, such as a pasted document with a question about it.
| # | Model | Score | Votes | Per 1M tokens, in / out |
|---|---|---|---|---|
| 1 | Gemini 4 Argon (High)Google | 95% interval 1529 to 1557 | 2,063 | · |
| 1 | Claude Opus 5.5 (High)Anthropic | 95% interval 1513 to 1534 | 4,043 | · |
| 2 | Claude Fable 5 (High)Anthropic | 95% interval 1516 to 1527 | 20,128 | · |
| 2 | Claude Opus 4.6 (High)Anthropic | 95% interval 1517 to 1526 | 35,006 | · |
| 2 | Claude Opus 4.6Anthropic | 95% interval 1512 to 1521 | 37,950 | · |
| 2 | Claude Opus 4.7 (High)Anthropic | 95% interval 1510 to 1520 | 30,103 | · |
| 2 | Claude Fable 5.1 (Max)Anthropic | 95% interval 1502 to 1519 | 6,456 | · |
| 4 | Gemini 3.8 Flash (High)Google | 95% interval 1504 to 1516 | 19,059 | · |
| 4 | Muse Wonder (Max)Meta | 95% interval 1489 to 1515 | 2,257 | · |
| 5 | Claude Opus 4.7Anthropic | 95% interval 1502 to 1513 | 30,835 | · |
| 6 | Claude Sonnet 5.5 (xHigh)Anthropic | 95% interval 1489 to 1511 | 3,434 | · |
| 7 | Kimi K3 (Max)Moonshot AI · open weights | 95% interval 1497 to 1509 | 14,884 | · |
| 7 | Claude Opus 5 (High)Anthropic | 95% interval 1498 to 1508 | 32,535 | · |
| 7 | Claude Opus 4.8 (High)Anthropic | 95% interval 1498 to 1508 | 30,196 | · |
| 7 | Claude Opus 5 (Max)Anthropic | 95% interval 1496 to 1509 | 15,833 | · |
| 7 | Claude Opus 4.8Anthropic | 95% interval 1494 to 1504 | 30,850 | · |
| 7 | Gemini 3.7 Flash (High)Google | 95% interval 1493 to 1506 | 13,535 | · |
| 7 | GPT-5.6 Sol (xHigh)OpenAI | 95% interval 1493 to 1504 | 19,254 | · |
| 7 | MiMo-V2.6-ProXiaomi · open weights | 95% interval 1480 to 1509 | 1,648 | · |
| 7 | Qwen3.7-Max-PreviewAlibaba | 95% interval 1475 to 1506 | 1,722 | · |
| 8 | Gemini 3.1 Pro PreviewGoogle | 95% interval 1495 to 1503 | 57,242 | · |
| 8 | Muse Spark 1.3 (Max)Meta | 95% interval 1489 to 1504 | 8,715 | · |
| 10 | Claude Opus 4.5 (High, 32K, 20251101)Anthropic | 95% interval 1488 to 1502 | 9,825 | · |
| 10 | Qwen3.8-MaxAlibaba | 95% interval 1485 to 1498 | 13,032 | · |
| 10 | Muse Spark 1.2 (xHigh)Meta | 95% interval 1478 to 1498 | 4,199 | · |
| 10 | GPT-6.1 Sol (Max)OpenAI | 95% interval 1475 to 1498 | 2,980 | · |
| 12 | Claude Opus 4.5 (20251101)Anthropic | 95% interval 1488 to 1497 | 24,244 | · |
| 12 | Claude Sonnet 4.6Anthropic | 95% interval 1487 to 1497 | 31,084 | · |
| 13 | Gemini 3 ProGoogle | 95% interval 1484 to 1497 | 11,157 | · |
| 14 | GPT-6 Astra (Max)OpenAI | 95% interval 1479 to 1496 | 5,537 | · |
| 18 | GPT-5.5 (High)OpenAI | 95% interval 1482 to 1492 | 32,009 | · |
| 18 | GLM-5.2 (Max)Z.ai · open weights | 95% interval 1482 to 1492 | 23,394 | · |
| 18 | GPT-5.5OpenAI | 95% interval 1482 to 1492 | 33,397 | · |
| 18 | MiMo-V2.5-ProXiaomi · open weights | 95% interval 1481 to 1491 | 34,292 | · |
| 18 | GLM-5.3 (Max)Z.ai · open weights | 95% interval 1479 to 1493 | 10,923 | · |
| 18 | Claude Sonnet 4.5 (High, 32K, 20250929)Anthropic | 95% interval 1481 to 1490 | 26,077 | · |
| 18 | Gemini 3.6 Flash (High)Google | 95% interval 1479 to 1491 | 17,142 | · |
| 18 | Claude Opus 4.1 (Thinking 16K, 20250805)Anthropic | 95% interval 1479 to 1491 | 11,491 | · |
| 19 | DeepSeek-V4.1-Flash-20260910 (Max)DeepSeek · open weights | 95% interval 1472 to 1489 | 5,836 | · |
| 21 | Qwen3.5-Max-PreviewAlibaba | 95% interval 1474 to 1489 | 8,960 | · |
| 22 | Gemini 3.5 Flash (High)Google | 95% interval 1477 to 1488 | 22,814 | · |
| 24 | Claude Sonnet 4.5 (20250929)Anthropic | 95% interval 1477 to 1486 | 26,471 | · |
| 24 | GPT-5.4 (High)OpenAI | 95% interval 1476 to 1486 | 28,436 | · |
| 24 | Claude Sonnet 5 (High)Anthropic | 95% interval 1475 to 1486 | 23,486 | · |
| 24 | Muse Spark 1.1Meta | 95% interval 1475 to 1486 | 20,636 | · |
| 24 | Gemini 3.5 Flash (Medium)Google | 95% interval 1475 to 1486 | 22,640 | · |
| 24 | GLM-5.1Z.ai · open weights | 95% interval 1475 to 1485 | 28,988 | · |
| 24 | GLM-5.3-FlashZ.ai · open weights | 95% interval 1474 to 1486 | 15,938 | · |
| 24 | Grok 4.5xAI | 95% interval 1474 to 1485 | 19,271 | · |
| 26 | Kimi K2.6Moonshot AI · open weights | 95% interval 1472 to 1484 | 16,958 | · |
| Further down the board: the other models on our price list | ||||
| 225 | gpt-oss-120bOpenAI · open weights | 95% interval 1317 to 1332 | 6,566 | · |
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