Leaderboard
Updated Oct 8, 9:18 PM ET
Model leaderboard
AI model leaderboard
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 evaluatorsUpdated Oct 8, 9:18 PM ET
Knowledge board 30 models
| 01 | Claude Fable 5.1 Anthropic | Sep 1, 2026 | 34 results Coverage 97% | $0.25 | $10 | $50 | 82.9 |
| 02 | Gemini 3.8 Flash Google | Sep 2, 2026 | 33 results Coverage 94% | $0.075 | $0.75 | $3.75 | 79.2 |
| 03 | GPT-6 Astra OpenAI | Sep 3, 2026 | 34 results Coverage 97% | $1 | $10 | $50 | 79.1 |
| 04 | GPT-6.1 Sol OpenAI | Sep 29, 2026 | 31 results Coverage 88% | $0.10 | $2 | $10 | 74.8 |
| 05 | Muse Spark 1.3 Meta | Sep 2, 2026 | 31 results Coverage 88% | $0.15 | $1.25 | $4.25 | 72.0 |
| 06 | Claude Fable 5 Anthropic | Jun 9, 2026 | 32 results Coverage 88% | $1 | $10 | $50 | 71.9 |
| 07 | Claude Opus 5 Anthropic | Jul 24, 2026 | 34 results Coverage 97% | $0.50 | $5 | $25 | 69.5 |
| 08 | Grok 4.6 xAI | Aug 12, 2026 | 34 results Coverage 97% | $0.50 | $2 | $6 | 68.3 |
| 09 | Claude Opus 5.5 Anthropic | Sep 22, 2026 | 32 results Coverage 91% | $0.20 | $4 | $20 | 67.8 |
| 10 | Kimi K3Open weights Moonshot AI | Jul 16, 2026 | 33 results Coverage 94% | $0.31 | $0.76 | $13 | 66.0 |
| 11 | Grok 4.5 xAI | Jul 8, 2026 | 30 results Coverage 85% | $0.30 | $2 | $6 | 65.5 |
| 12 | Gemini 3.7 Flash Google | Aug 13, 2026 | 32 results Coverage 91% | $0.075 | $0.75 | $3.75 | 65.3 |
| 13 | GPT-6 Sol OpenAI | Sep 22, 2026 | 31 results Coverage 88% | $0.20 | $2 | $10 | 63.6 |
| 14 | Grok 4.7 xAI | Sep 21, 2026 | 31 results Coverage 88% | $0.50 | $2 | $6 | 62.6 |
| 15 | Qwen3.8 FlashOpen weights Alibaba | Aug 26, 2026 | 10 results Coverage 30% | $0.016 | $0.15 | $0.47 | 61.9 |
| 16 | Gemini 3.1 Pro Preview Google | Feb 19, 2026 | 35 results Coverage 97% | $0.20 | $2 | $12 | 61.2 |
| 17 | DeepSeek V4.1 FlashOpen weights DeepSeek | Sep 9, 2026 | 28 results Coverage 82% | $0.006 | $0.30 | $1.20 | 60.2 |
| 18 | GPT-5.6 Sol OpenAI | Jul 9, 2026 | 35 results Coverage 97% | $0.20 | $2 | $10 | 60.1 |
| 19 | Qwen3.7 Max Alibaba | May 19, 2026 | 26 results Coverage 73% | $0.30 | $1.48 | $4.43 | 59.8 |
| 20 | Claude Opus 4.8 Anthropic | May 28, 2026 | 32 results Coverage 88% | $0.50 | $5 | $25 | 59.8 |
| 21 | Claude Sonnet 5.5 Anthropic | Sep 28, 2026 | 30 results Coverage 85% | $0.10 | $2 | $10 | 58.7 |
| 22 | GLM 5.3Open weights Z.ai | Aug 14, 2026 | 34 results Coverage 97% | $0.038 | $0.039 | $3.39 | 58.5 |
| 23 | MiMo-V2.5-ProOpen weights Xiaomi | Apr 22, 2026 | 19 results Coverage 52% | $0.0036 | $0.44 | $0.87 | 58.4 |
| 24 | Gemini 3.6 Flash Google | Jul 21, 2026 | 30 results Coverage 88% | $0.075 | $0.75 | $3.75 | 58.4 |
| 25 | Muse Spark 1.2 Meta | Aug 5, 2026 | 27 results Coverage 79% | $0.15 | $1.25 | $4.25 | 57.8 |
| 26 | GPT-5.5 OpenAI | Apr 23, 2026 | 30 results Coverage 85% | $0.50 | $5 | $30 | 57.7 |
| 27 | Qwen3.5 397B A17BOpen weights Alibaba | Feb 13, 2026 | 14 results Coverage 39% | $0.23 | $0.55 | $3.50 | 57.5 |
| 28 | Gemini 3.5 Flash Google | May 19, 2026 | 33 results Coverage 91% | $0.15 | $1.50 | $9 | 56.7 |
| 29 | Muse Spark 1.1 Meta | Jul 9, 2026 | 21 results Coverage 64% | $0.15 | $1.25 | $4.25 | 54.1 |
| 30 | Claude Opus 4.7 Anthropic | Apr 16, 2026 | 28 results Coverage 79% | $0.50 | $5 | $25 | 53.8 |
- 01Claude Fable 5.1Anthropic · Sep 1, 202634 results · 97% coverage · $10/$50 per 1M82.9
- 02Gemini 3.8 FlashGoogle · Sep 2, 202633 results · 94% coverage · $0.75/$3.75 per 1M79.2
- 03GPT-6 AstraOpenAI · Sep 3, 202634 results · 97% coverage · $10/$50 per 1M79.1
- 04GPT-6.1 SolOpenAI · Sep 29, 202631 results · 88% coverage · $2/$10 per 1M74.8
- 05Muse Spark 1.3Meta · Sep 2, 202631 results · 88% coverage · $1.25/$4.25 per 1M72.0
- 06Claude Fable 5Anthropic · Jun 9, 202632 results · 88% coverage · $10/$50 per 1M71.9
- 07Claude Opus 5Anthropic · Jul 24, 202634 results · 97% coverage · $5/$25 per 1M69.5
- 08Grok 4.6xAI · Aug 12, 202634 results · 97% coverage · $2/$6 per 1M68.3
- 09Claude Opus 5.5Anthropic · Sep 22, 202632 results · 91% coverage · $4/$20 per 1M67.8
- 10Kimi K3Open weightsMoonshot AI · Jul 16, 202633 results · 94% coverage · $0.76/$13 per 1M66.0
- 11Grok 4.5xAI · Jul 8, 202630 results · 85% coverage · $2/$6 per 1M65.5
- 12Gemini 3.7 FlashGoogle · Aug 13, 202632 results · 91% coverage · $0.75/$3.75 per 1M65.3
- 13GPT-6 SolOpenAI · Sep 22, 202631 results · 88% coverage · $2/$10 per 1M63.6
- 14Grok 4.7xAI · Sep 21, 202631 results · 88% coverage · $2/$6 per 1M62.6
- 15Qwen3.8 FlashOpen weightsAlibaba · Aug 26, 202610 results · 30% coverage · $0.15/$0.47 per 1M61.9
- 16Gemini 3.1 Pro PreviewGoogle · Feb 19, 202635 results · 97% coverage · $2/$12 per 1M61.2
- 17DeepSeek V4.1 FlashOpen weightsDeepSeek · Sep 9, 202628 results · 82% coverage · $0.30/$1.20 per 1M60.2
- 18GPT-5.6 SolOpenAI · Jul 9, 202635 results · 97% coverage · $2/$10 per 1M60.1
- 19Qwen3.7 MaxAlibaba · May 19, 202626 results · 73% coverage · $1.48/$4.43 per 1M59.8
- 20Claude Opus 4.8Anthropic · May 28, 202632 results · 88% coverage · $5/$25 per 1M59.8
- 21Claude Sonnet 5.5Anthropic · Sep 28, 202630 results · 85% coverage · $2/$10 per 1M58.7
- 22GLM 5.3Open weightsZ.ai · Aug 14, 202634 results · 97% coverage · $0.039/$3.39 per 1M58.5
- 23MiMo-V2.5-ProOpen weightsXiaomi · Apr 22, 202619 results · 52% coverage · $0.44/$0.87 per 1M58.4
- 24Gemini 3.6 FlashGoogle · Jul 21, 202630 results · 88% coverage · $0.75/$3.75 per 1M58.4
- 25Muse Spark 1.2Meta · Aug 5, 202627 results · 79% coverage · $1.25/$4.25 per 1M57.8
- 26GPT-5.5OpenAI · Apr 23, 202630 results · 85% coverage · $5/$30 per 1M57.7
- 27Qwen3.5 397B A17BOpen weightsAlibaba · Feb 13, 202614 results · 39% coverage · $0.55/$3.50 per 1M57.5
- 28Gemini 3.5 FlashGoogle · May 19, 202633 results · 91% coverage · $1.50/$9 per 1M56.7
- 29Muse Spark 1.1Meta · Jul 9, 202621 results · 64% coverage · $1.25/$4.25 per 1M54.1
- 30Claude Opus 4.7Anthropic · Apr 16, 202628 results · 79% coverage · $5/$25 per 1M53.8
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 modelsThese 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.
- Gemini 4 ArgonGoogleFewer than 2 kinds of knowledge evaluation · 21 results76.8
- MiMo-V2.6-ProXiaomiFewer than 2 kinds of knowledge evaluation · 21 results64.1
- Qwen3.8 Max (0902)AlibabaFewer than 3 kinds of coding evaluation · 9 results61.6
- DeepSeek V4 Flash Vision ExpDeepSeekResults from only one evaluator so far · 5 results61.2
- Ember-1FireworksResults from only one evaluator so far · 12 results60.2
- Step 5 PreviewStepFunFewer than 2 kinds of knowledge evaluation · 16 results60.0
- Hy4 previewTencentResults from only one evaluator so far · 13 results59.6
- Qwen3.8 2.4T A95BAlibabaResults from only one evaluator so far · 5 results58.7
- MiMo-V2.6-FlashXiaomiFewer than 2 kinds of knowledge evaluation · 20 results56.5
- Deepseek V4 Flash VisionDeepSeekResults from only one evaluator so far · 5 results52.5
- GPT-5.2-CodexOpenAIFewer than 3 kinds of coding evaluation · 11 results50.0
- Deepseek V4 Pro 0424DeepSeekResults from only one evaluator so far · 7 results48.8
- GPT-5.2OpenAIFewer than 3 kinds of coding evaluation · 19 results48.4
- Qwen3.6 Max PreviewAlibabaNo coding evaluations yet · 8 results48.0
- Muse SparkMetaFewer than 3 kinds of coding evaluation · 7 results47.8
- GPT-5.3-CodexOpenAIFewer than 3 kinds of coding evaluation · 6 results47.7
- Mimo V2 ProXiaomiNo coding evaluations yet · 5 results44.1
- Qwen3.5-27BAlibabaNo coding evaluations yet · 5 results43.6
- Hy3TencentFewer than 3 kinds of coding evaluation · 6 results42.3
- K2 Horizon 375b A23bInstitute of Foundation ModelsResults from only one evaluator so far · 5 results42.1
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 worksAbout 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.