Skip to content

Leaderboard

Updated Oct 8, 9:18 PM ET

Current AI models ranked on knowledge and accuracy: factual recall, instruction following and false premises. Same scale as the overall score.

36 scored evaluations · 7 evaluators

Knowledge board 30 models

Sort
  1. 01Claude Fable 5.1Anthropic · Sep 1, 202634 results · 97% coverage · $10 in / $50 out per 1M tokens82.9
  2. 02Gemini 3.8 FlashGoogle · Sep 2, 202633 results · 94% coverage · $0.75 in / $3.75 out per 1M tokens79.2
  3. 03GPT-6 AstraOpenAI · Sep 3, 202634 results · 97% coverage · $10 in / $50 out per 1M tokens79.1
  4. 04GPT-6.1 SolOpenAI · Sep 29, 202631 results · 88% coverage · $2 in / $10 out per 1M tokens74.8
  5. 05Muse Spark 1.3Meta · Sep 2, 202631 results · 88% coverage · $1.25 in / $4.25 out per 1M tokens72.0
  6. 06Claude Fable 5Anthropic · Jun 9, 202632 results · 88% coverage · $10 in / $50 out per 1M tokens71.9
  7. 07Claude Opus 5Anthropic · Jul 24, 202634 results · 97% coverage · $5 in / $25 out per 1M tokens69.5
  8. 08Grok 4.6xAI · Aug 12, 202634 results · 97% coverage · $2 in / $6 out per 1M tokens68.3
  9. 09Claude Opus 5.5Anthropic · Sep 22, 202632 results · 91% coverage · $4 in / $20 out per 1M tokens67.8
  10. 10Kimi K3Open weightsMoonshot AI · Jul 16, 202633 results · 94% coverage · $0.76 in / $13 out per 1M tokens66.0
  11. 11Grok 4.5xAI · Jul 8, 202630 results · 85% coverage · $2 in / $6 out per 1M tokens65.5
  12. 12Gemini 3.7 FlashGoogle · Aug 13, 202632 results · 91% coverage · $0.75 in / $3.75 out per 1M tokens65.3
  13. 13GPT-6 SolOpenAI · Sep 22, 202631 results · 88% coverage · $2 in / $10 out per 1M tokens63.6
  14. 14Grok 4.7xAI · Sep 21, 202631 results · 88% coverage · $2 in / $6 out per 1M tokens62.6
  15. 15Qwen3.8 FlashOpen weightsAlibaba · Aug 26, 202610 results · 30% coverage · $0.15 in / $0.47 out per 1M tokens61.9
  16. 16Gemini 3.1 Pro PreviewGoogle · Feb 19, 202635 results · 97% coverage · $2 in / $12 out per 1M tokens61.2
  17. 17DeepSeek V4.1 FlashOpen weightsDeepSeek · Sep 9, 202628 results · 82% coverage · $0.30 in / $1.20 out per 1M tokens60.2
  18. 18GPT-5.6 SolOpenAI · Jul 9, 202635 results · 97% coverage · $2 in / $10 out per 1M tokens60.1
  19. 19Qwen3.7 MaxAlibaba · May 19, 202626 results · 73% coverage · $1.48 in / $4.43 out per 1M tokens59.8
  20. 20Claude Opus 4.8Anthropic · May 28, 202632 results · 88% coverage · $5 in / $25 out per 1M tokens59.8
  21. 21Claude Sonnet 5.5Anthropic · Sep 28, 202630 results · 85% coverage · $2 in / $10 out per 1M tokens58.7
  22. 22GLM 5.3Open weightsZ.ai · Aug 14, 202634 results · 97% coverage · $0.039 in / $3.39 out per 1M tokens58.5
  23. 23MiMo-V2.5-ProOpen weightsXiaomi · Apr 22, 202619 results · 52% coverage · $0.44 in / $0.87 out per 1M tokens58.4
  24. 24Gemini 3.6 FlashGoogle · Jul 21, 202630 results · 88% coverage · $0.75 in / $3.75 out per 1M tokens58.4
  25. 25Muse Spark 1.2Meta · Aug 5, 202627 results · 79% coverage · $1.25 in / $4.25 out per 1M tokens57.8
  26. 26GPT-5.5OpenAI · Apr 23, 202630 results · 85% coverage · $5 in / $30 out per 1M tokens57.7
  27. 27Qwen3.5 397B A17BOpen weightsAlibaba · Feb 13, 202614 results · 39% coverage · $0.55 in / $3.50 out per 1M tokens57.5
  28. 28Gemini 3.5 FlashGoogle · May 19, 202633 results · 91% coverage · $1.50 in / $9 out per 1M tokens56.7
  29. 29Muse Spark 1.1Meta · Jul 9, 202621 results · 64% coverage · $1.25 in / $4.25 out per 1M tokens54.1
  30. 30Claude Opus 4.7Anthropic · Apr 16, 202628 results · 79% coverage · $5 in / $25 out per 1M tokens53.8

Score: reference-group average 50, about 15 points per standard deviation; not a percentage. Ranks have no ties and stay as on the full board when filtered. At most 30 models are shown.

Not ranked yet

20 models

These models have a score, but their evidence is too narrow to rank: one bad result could move them a long way. They get a rank once the missing evaluations come in.

How to read this board

Every evaluation is converted to one ability scale. The reference group's average is 50 and each 15 points is about one standard deviation, so a score is not a percentage. Prices never affect the ranking, and an evaluation a model has not taken neither adds nor subtracts.

How the score works

About prices

Prices are list prices in US dollars per million tokens, from OpenRouter's public model list. Cached input is the price of input served from the prompt cache; cache writes and subscriptions are not included. A dash means no price is listed.

Scored evaluations by LiveBench, Epoch AI, LMArena, Vals AI, Mercor, BullshitBench, Artificial Analysis. Every evaluation and its evaluator is listed on the evaluations page; prices come from OpenRouter. The board is also available as JSON at /api/v1/leaderboard.