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AI leaderboard

AI Leaderboard: The Best LLMs Across Benchmarks

One index from 0 to 100, built from independent benchmarks by Artificial Analysis, Vals AI, Epoch AI, LMArena and other evaluators. The latest results were retrieved on October 19, 2026.

Overall leader

Highest point estimate in the overall index. A model is placed once its score rests on at least eight independent test series and its uncertainty is small enough.

Overall index

94.3

Win chance 76%

Standard error ± 2.4 points. 29 test series from 3 sources. Estimated without own results in: Reasoning and Knowledge.

Statistically level with: Claude Fable 5.1, Claude Sonnet 5.5, and GPT-6 Astra

5.7 points ahead of GPT-6.1 Sol.

models in the overall index
91
areas with a ranking
12
new models in 45 days
37

Winners by area

Which model leads where

The winner is the ranked model with the highest point estimate in the area, with own results from at least two test families. Models that are level within their uncertainty are listed below it.

Coding

Win chance 81%

Statistically level with: GPT-6 Astra and GPT-6.1 Sol

3.4 points ahead of Claude Sonnet 5.5

Reasoning

Win chance 60%

Statistically level with: Gemini 4 Argon, GPT-6.1 Sol, GPT-5.6 Sol and 2 more models

10.1 points ahead of Gemini 3.7 Flash

Mathematics

Win chance 89%

1.1 points ahead of GPT-6.1 Sol

Knowledge

Win chance 83%

Statistically level with: Claude Fable 5

1.8 points ahead of GPT-6.1 Sol

Agents

Win chance 81%

Statistically level with: Claude Fable 5.1 and Claude Opus 5.5

5.1 points ahead of Muse Wonder

General

Win chance 40%

Statistically level with: Claude Opus 5.5, GPT-6.1 Sol, Claude Sonnet 5.5 and 4 more models

16.7 points ahead of Muse Wonder Full

Finance

Win chance 46%

Statistically level with: Claude Opus 5.5, Claude Opus 5, Claude Sonnet 5.5, and Muse Wonder Full

10.0 points ahead of Claude Fable 5

Legal

Win chance 50%

Statistically level with: Muse Wonder, Claude Fable 5.1, Muse Spark 1.3 and 4 more models

11.2 points ahead of Grok 4.6

Health

Win chance 71%

Statistically level with: Claude Fable 5.1, Claude Sonnet 5.5, and Claude Opus 5.5

8.5 points ahead of Claude Fable 5

Multimodal

Win chance 69%

Statistically level with: GPT-6.1 Sol, Claude Fable 5.1, GPT-6 Astra, and Claude Opus 5

9.2 points ahead of Gemini 3.7 Flash

Productivity

Win chance 100%

Only ranked model

Education

Win chance 72%

Statistically level with: GPT-5 and Gemini 2.5 Pro

15.0 points ahead of o3

Just released

New LLMs and where they land

Language models released in the last 45 days. They join the ranking as soon as enough independent tests are published.

Muse Wonder

Meta · Released October 12, 2026

Rank 7 to 9 of 91 · Index 80.0

Muse Wonder Full

Meta · Released October 12, 2026

Rank 4 to 8 of 91 · Index 86.9

Claude Haiku 5.5

Anthropic · Released October 7, 2026

Rank 11 to 20 of 91 · Index 59.3

Mistral Large 4

Mistral AI · Released October 6, 2026

Rank 23 to 35 of 91 · Index 32.4

GPT-6.1 Sol

OpenAI · Released September 29, 2026

Rank 4 to 8 of 91 · Index 88.6

Claude Sonnet 5.5

Anthropic · Released September 28, 2026

Rank 1 to 6 of 91 · Index 91.5

Claude Opus 5.5

Anthropic · Released September 22, 2026

Rank 1 to 4 of 91 · Index 94.3

GPT-6 Luna

OpenAI · Released September 22, 2026

Rank 24 to 32 of 91 · Index 38.6

GPT-6 Sol

OpenAI · Released September 22, 2026

Rank 10 to 15 of 91 · Index 70.4

Grok 4.7

xAI · Released September 21, 2026

Rank 16 to 22 of 91 · Index 54.6

DeepSeek-V4.1-Flash

DeepSeek · Released September 10, 2026

Rank 20 to 30 of 91 · Index 42.4

Mercury 2.5

Inception · Released September 8, 2026

18 test series, but all from a single source so far

No own results in: Reasoning, Knowledge, and General

Show 25 more new models without independent benchmarks
Falcon-Emirati

Technology Innovation Institute · Released October 6, 2026

No independent benchmarks yet. Vendor results in the profile

Reflection Beam

Reflection AI · Released October 5, 2026

No independent benchmarks yet. Vendor results in the profile

Kolibri 1

Aleph Alpha · Released October 3, 2026

No independent benchmarks yet. Vendor results in the profile

Index-Translate-2B

Bilibili Index Team · Released September 30, 2026

No independent benchmarks yet. Vendor results in the profile

Index-Translate-35B-A3B Preview

Bilibili Index Team · Released September 30, 2026

No independent benchmarks yet. Vendor results in the profile

Index-Translate-9B

Bilibili Index Team · Released September 30, 2026

No independent benchmarks yet. Vendor results in the profile

Mercury Voice

Inception · Released September 29, 2026

No independent benchmarks yet. Vendor results in the profile

Holo4-27B

H Company · Released September 28, 2026

No independent benchmarks yet. Vendor results in the profile

Holo4-35B-A3B

H Company · Released September 28, 2026

No independent benchmarks yet. Vendor results in the profile

Holotron4-30B-A3B

H Company · Released September 28, 2026

No independent benchmarks yet. Vendor results in the profile

Aion 3.5

Aion Labs · Released September 23, 2026

No independent benchmarks yet. Vendor results in the profile

Aion 3.5 Mini

Aion Labs · Released September 23, 2026

No independent benchmarks yet. Vendor results in the profile

Ember-1

Fireworks Research · Released September 23, 2026

No independent benchmarks yet. Vendor results in the profile

MiMo V2.6 Distill Qwen 9B

Xiaomi · Released September 22, 2026

No independent benchmarks yet. Vendor results in the profile

MiMo V2.6 Flash

Xiaomi · Released September 22, 2026

No independent benchmarks yet. Vendor results in the profile

MiMo V2.6 Pro

Xiaomi · Released September 22, 2026

No independent benchmarks yet. Vendor results in the profile

MiMo V2.6 Pro UltraSpeed

Xiaomi · Released September 22, 2026

No independent benchmarks yet. Open the profile

AliceAI Foundation 80B A3B Base

Yandex · Released September 21, 2026

No independent benchmarks yet. Vendor results in the profile

Qwen3.8-Omni-Flash

Alibaba · Released September 17, 2026

No independent benchmarks yet. Vendor results in the profile

Ternary Bonsai 2 27B

PrismML · Released September 17, 2026

No independent benchmarks yet. Vendor results in the profile

Fugu Max

Sakana AI · Released September 11, 2026

No independent benchmarks yet. Vendor results in the profile

Fugu Ultra v2

Sakana AI · Released September 11, 2026

No independent benchmarks yet. Vendor results in the profile

Kimi K2.8 Preview

Moonshot AI · Released September 11, 2026

No independent benchmarks yet. Open the profile

North-Small-Translate-1.0

Cohere · Released September 10, 2026

No independent benchmarks yet. Vendor results in the profile

SWE-2

Cognition · Released September 10, 2026

No independent benchmarks yet. Vendor results in the profile

Ranking

Every model in the index

Pick an area or search by model and provider. Ranks always refer to the full list, even while you search.

Rank 1 to 4
Claude Opus 5.5AnthropicIndex 94.3

± 2.4 points29 test series3 sourcesestimated without own results in: Reasoning and Knowledge

Rank 1 to 4
Claude Fable 5.1AnthropicIndex 93.0

± 2.0 points37 test series3 sources

Rank 1 to 6
Claude Sonnet 5.5AnthropicIndex 91.5

± 2.8 points26 test series3 sourcesestimated without own results in: Reasoning and Knowledge

Rank 2 to 6
GPT-6 AstraOpenAIIndex 90.5

± 2.0 points45 test series4 sources

Rank 4 to 8
GPT-6.1 SolOpenAIIndex 88.6

± 1.9 points42 test series4 sources

Rank 3 to 8
Claude Opus 5AnthropicIndex 87.6

± 2.2 points52 test series4 sources

Rank 4 to 8
Muse Wonder FullMetaIndex 86.9

± 2.0 points30 test series2 sources

Rank 5 to 9
Claude Fable 5AnthropicIndex 85.0

± 3.4 points47 test series5 sources

Rank 7 to 9
Muse WonderMetaIndex 80.0

± 3.5 points29 test series4 sources

Rank 10 to 14
GPT-5.6 SolOpenAIIndex 71.4

± 2.7 points51 test series4 sources

Rank 10 to 15
Gemini 3.7 FlashGoogleIndex 71.3

± 3.5 points46 test series4 sources

Rank 10 to 15
GPT-6 SolOpenAIIndex 70.4

± 3.6 points42 test series4 sources

Rank 10 to 15
Gemini 3.8 FlashGoogleIndex 70.2

± 3.0 points54 test series4 sources

Rank 10 to 17
Muse Spark 1.3MetaIndex 66.1

± 5.1 points30 test series3 sources

Rank 13 to 17
Kimi K3Moonshot AIIndex 62.0

± 2.9 points51 test series4 sources

Rank 11 to 20
Claude Haiku 5.5AnthropicIndex 59.3

± 5.8 points38 test series3 sources

Rank 16 to 22
Grok 4.6xAIIndex 55.7

± 4.2 points49 test series4 sources

Rank 15 to 28
GPT-5.5OpenAIIndex 54.7

± 6.6 points47 test series5 sources

Rank 16 to 22
Grok 4.7xAIIndex 54.6

± 4.4 points45 test series4 sources

Rank 16 to 27
Claude Opus 4.8AnthropicIndex 52.0

± 6.3 points38 test series4 sourcesestimated without own results in: Mathematics

20 of 96 models shown

Methodology

How the leaderboard works

Only reviewed, active results from independent evaluators count. Numbers that vendors publish in their own model cards stay out. Within each test series the values are standardized, which puts accuracy rates, Elo ratings and pass rates on one shared scale. Percentages and rates are stretched first, so gaps near 0 and 100% are not compressed.

A one-factor statistical model then estimates one shared strength per model and accounts for how sharply each series separates the models. Area scores move away from that strength only as far as the model's own results in the area support. Where a model has no own results in a core area, its overall strength stands in. The note “estimated without own results in …” makes this visible.

The overall score weights core areas such as coding, reasoning, math and knowledge at 75% and the specialist domains finance, law and health at 25%. A model receives an overall score once it has eight test series from at least two sources and three areas.

The uncertainty comes from 200 recalculations in which the test families are drawn again at random. A model is placed once its uncertainty is small enough. A rank range such as “rank 1 to 3” covers the places the model takes in 90% of these recalculations. The winner is the ranked model with the highest point estimate. The win chance is the share of 200 recalculations with randomly redrawn test families in which the model comes first. A recalculation without the model counts as no win for it. A model is statistically level with the winner when it is ahead of the winner in at least 5% of the recalculations that include both.

The index runs from 0 to 100 and is not a percentage. A score of 80 does not mean a model solves 80% of all tasks. It describes the position relative to a fixed reference group of 29 language models whose average sits at 50.

The full calculation with every weight and raw result is available as a JSON export. For sources, test settings and pricing of a single model, browse the AI model directory.