Leaderboard
Updated Oct 8, 20:31 ET
Model leaderboard
AI model leaderboard
One ability score from results that independent evaluators ran themselves, the same way for every model. Weights: coding 40%, research and reasoning 20%, professional work 20%, knowledge and accuracy 15%, human preference 5%.
36 scored evaluations · 7 evaluatorsUpdated Oct 8, 20:31 ET
Overall board 30 models
| 01 | Claude Opus 5.5 Anthropic | Sep 22, 2026 | 32 results Coverage 91% | $0.20 | $4 | $20 | 78.6 |
| 02 | Claude Fable 5.1 Anthropic | Sep 1, 2026 | 34 results Coverage 97% | $0.25 | $10 | $50 | 77.5 |
| 03 | GPT-6 Astra OpenAI | Sep 3, 2026 | 34 results Coverage 97% | $1 | $10 | $50 | 74.1 |
| 04 | Claude Fable 5 Anthropic | Jun 9, 2026 | 32 results Coverage 88% | $1 | $10 | $50 | 73.6 |
| 05 | Claude Opus 5 Anthropic | Jul 24, 2026 | 34 results Coverage 97% | $0.50 | $5 | $25 | 72.9 |
| 06 | Claude Sonnet 5.5 Anthropic | Sep 28, 2026 | 30 results Coverage 85% | $0.10 | $2 | $10 | 71.4 |
| 07 | GPT-6.1 Sol OpenAI | Sep 29, 2026 | 31 results Coverage 88% | $0.10 | $2 | $10 | 70.7 |
| 08 | GPT-5.6 Sol OpenAI | Jul 9, 2026 | 35 results Coverage 97% | $0.20 | $2 | $10 | 65.5 |
| 09 | GPT-6 Sol OpenAI | Sep 22, 2026 | 31 results Coverage 88% | $0.20 | $2 | $10 | 64.7 |
| 10 | Gemini 3.8 Flash Google | Sep 2, 2026 | 33 results Coverage 94% | $0.075 | $0.75 | $3.75 | 64.6 |
| 11 | Muse Spark 1.3 Meta | Sep 2, 2026 | 31 results Coverage 88% | $0.15 | $1.25 | $4.25 | 64.4 |
| 12 | Grok 4.6 xAI | Aug 12, 2026 | 34 results Coverage 97% | $0.50 | $2 | $6 | 62.7 |
| 13 | Kimi K3Open weights Moonshot AI | Jul 16, 2026 | 33 results Coverage 94% | $0.40 | $0.76 | $13 | 61.9 |
| 14 | Grok 4.7 xAI | Sep 21, 2026 | 31 results Coverage 88% | $0.50 | $2 | $6 | 61.7 |
| 15 | Gemini 3.7 Flash Google | Aug 13, 2026 | 32 results Coverage 91% | $0.075 | $0.75 | $3.75 | 61.5 |
| 16 | GLM 5.3Open weights Z.ai | Aug 14, 2026 | 34 results Coverage 97% | $0.038 | $0.039 | $3.39 | 60.7 |
| 17 | Claude Opus 4.8 Anthropic | May 28, 2026 | 32 results Coverage 88% | $0.50 | $5 | $25 | 60.1 |
| 18 | DeepSeek V4.1 FlashOpen weights DeepSeek | Sep 9, 2026 | 28 results Coverage 82% | $0.006 | $0.30 | $1.20 | 60.1 |
| 19 | Muse Spark 1.2 Meta | Aug 5, 2026 | 27 results Coverage 79% | $0.15 | $1.25 | $4.25 | 60.1 |
| 20 | Claude Haiku 5.5 Anthropic | Oct 7, 2026 | 26 results Coverage 76% | $0.01 | $0.10 | $0.50 | 59.2 |
| 21 | GPT-5.5 OpenAI | Apr 23, 2026 | 30 results Coverage 85% | $0.50 | $5 | $30 | 59.0 |
| 22 | Qwen3.8 FlashOpen weights Alibaba | Aug 26, 2026 | 10 results Coverage 30% | $0.016 | $0.15 | $0.47 | 58.9 |
| 23 | DeepSeek V4 Pro 0813Open weights DeepSeek | Aug 13, 2026 | 32 results Coverage 91% | $0.022 | $0.66 | $1.98 | 57.4 |
| 24 | Claude Opus 4.7 Anthropic | Apr 16, 2026 | 28 results Coverage 79% | $0.50 | $5 | $25 | 57.4 |
| 25 | Grok 4.5 xAI | Jul 8, 2026 | 30 results Coverage 85% | $0.30 | $2 | $6 | 57.1 |
| 26 | Muse Spark 1.1 Meta | Jul 9, 2026 | 21 results Coverage 64% | $0.15 | $1.25 | $4.25 | 56.6 |
| 27 | GPT-5.6 Terra OpenAI | Jul 9, 2026 | 35 results Coverage 97% | $0.20 | $2 | $12 | 56.3 |
| 28 | Claude Sonnet 5 Anthropic | Jun 30, 2026 | 33 results Coverage 94% | $0.20 | $2 | $10 | 56.0 |
| 29 | Qwen3.8 Max Alibaba | Aug 2, 2026 | 34 results Coverage 97% | — | — | — | 56.0 |
| 30 | DeepSeek V4 Flash 0731Open weights DeepSeek | Jul 31, 2026 | 29 results Coverage 82% | $0.018 | $0.018 | $1.28 | 53.9 |
- 01Claude Opus 5.5Anthropic · Sep 22, 202632 results · 91% coverage · $4/$20 per 1M78.6
- 02Claude Fable 5.1Anthropic · Sep 1, 202634 results · 97% coverage · $10/$50 per 1M77.5
- 03GPT-6 AstraOpenAI · Sep 3, 202634 results · 97% coverage · $10/$50 per 1M74.1
- 04Claude Fable 5Anthropic · Jun 9, 202632 results · 88% coverage · $10/$50 per 1M73.6
- 05Claude Opus 5Anthropic · Jul 24, 202634 results · 97% coverage · $5/$25 per 1M72.9
- 06Claude Sonnet 5.5Anthropic · Sep 28, 202630 results · 85% coverage · $2/$10 per 1M71.4
- 07GPT-6.1 SolOpenAI · Sep 29, 202631 results · 88% coverage · $2/$10 per 1M70.7
- 08GPT-5.6 SolOpenAI · Jul 9, 202635 results · 97% coverage · $2/$10 per 1M65.5
- 09GPT-6 SolOpenAI · Sep 22, 202631 results · 88% coverage · $2/$10 per 1M64.7
- 10Gemini 3.8 FlashGoogle · Sep 2, 202633 results · 94% coverage · $0.75/$3.75 per 1M64.6
- 11Muse Spark 1.3Meta · Sep 2, 202631 results · 88% coverage · $1.25/$4.25 per 1M64.4
- 12Grok 4.6xAI · Aug 12, 202634 results · 97% coverage · $2/$6 per 1M62.7
- 13Kimi K3Open weightsMoonshot AI · Jul 16, 202633 results · 94% coverage · $0.76/$13 per 1M61.9
- 14Grok 4.7xAI · Sep 21, 202631 results · 88% coverage · $2/$6 per 1M61.7
- 15Gemini 3.7 FlashGoogle · Aug 13, 202632 results · 91% coverage · $0.75/$3.75 per 1M61.5
- 16GLM 5.3Open weightsZ.ai · Aug 14, 202634 results · 97% coverage · $0.039/$3.39 per 1M60.7
- 17Claude Opus 4.8Anthropic · May 28, 202632 results · 88% coverage · $5/$25 per 1M60.1
- 18DeepSeek V4.1 FlashOpen weightsDeepSeek · Sep 9, 202628 results · 82% coverage · $0.30/$1.20 per 1M60.1
- 19Muse Spark 1.2Meta · Aug 5, 202627 results · 79% coverage · $1.25/$4.25 per 1M60.1
- 20Claude Haiku 5.5Anthropic · Oct 7, 202626 results · 76% coverage · $0.10/$0.50 per 1M59.2
- 21GPT-5.5OpenAI · Apr 23, 202630 results · 85% coverage · $5/$30 per 1M59.0
- 22Qwen3.8 FlashOpen weightsAlibaba · Aug 26, 202610 results · 30% coverage · $0.15/$0.47 per 1M58.9
- 23DeepSeek V4 Pro 0813Open weightsDeepSeek · Aug 13, 202632 results · 91% coverage · $0.66/$1.98 per 1M57.4
- 24Claude Opus 4.7Anthropic · Apr 16, 202628 results · 79% coverage · $5/$25 per 1M57.4
- 25Grok 4.5xAI · Jul 8, 202630 results · 85% coverage · $2/$6 per 1M57.1
- 26Muse Spark 1.1Meta · Jul 9, 202621 results · 64% coverage · $1.25/$4.25 per 1M56.6
- 27GPT-5.6 TerraOpenAI · Jul 9, 202635 results · 97% coverage · $2/$12 per 1M56.3
- 28Claude Sonnet 5Anthropic · Jun 30, 202633 results · 94% coverage · $2/$10 per 1M56.0
- 29Qwen3.8 MaxAlibaba · Aug 2, 202634 results · 97% coverage · —/— per 1M56.0
- 30DeepSeek V4 Flash 0731Open weightsDeepSeek · Jul 31, 202629 results · 82% coverage · $0.018/$1.28 per 1M53.9
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.