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AI Rankings

LLM Leaderboard: AI Models Ranked by Overall Intelligence

This leaderboard ranks AI language models on the Epoch Capabilities Index, a single score built from many hard benchmarks. Next to each score you can see how people rate the model in Arena's blind votes, what it costs and how much text it can read at once.

Data updated

Top 20 at a glance

Tap a model to see its full page: scores, price and how it compares.

Full ranking

Showing the top 100 of 270 models.Download the full table (CSV)Data credit: Epoch AI, Arena (formerly LMArena), LiteLLM model price list, used under open licences (details at the foot of the page).
LLM Leaderboard: AI Models Ranked by Overall Intelligence: 100 of 270 models
Rank and modelEpoch Capabilities IndexLikely rangeArena text ratingPrice per 1M tokens (in / out)Context window
1Claude Opus 5.5Anthropic
168.8165.3 to 173.91509$4.00 / $20.001M tokens
168.8165.4 to 174.51477$10.00 / $50.00922K tokens
168.4165.0 to 174.41480$2.00 / $10.00922K tokens
166.5163.5 to 171.31503$10.00 / $50.001M tokens
166.4163.2 to 171.51517$2.00 / $10.001M tokens
166.2163.1 to 171.31478$2.00 / $10.001M tokens
7Claude Opus 5Anthropic
163.9161.1 to 168.21491$5.00 / $25.001M tokens
8GPT-6 SolOpenAI
163.7160.9 to 167.41459$2.00 / $10.00922K tokens
9Claude Fable 5Anthropic
163.4160.5 to 168.21503$10.00 / $50.001M tokens
10GPT-5.5 ProOpenAI
162.9160.0 to 166.6Not measured$30.00 / $1801.1M tokens
11GPT-5.6 SolOpenAI
162.8160.2 to 167.11485$4.00 / $20.00922K tokens
161.8159.4 to 165.41509Not measuredNot measured
160.1157.3 to 163.31467$2.00 / $12.00922K tokens
14GPT-5.5OpenAI
159.7157.3 to 163.71482$5.00 / $30.001.1M tokens
15GPT-5.4 ProOpenAI
159.6157.1 to 162.7Not measured$30.00 / $1801.1M tokens
16Claude Haiku 5.5Anthropic
159.3156.2 to 162.51425$0.10 / $0.501M tokens
17Claude Opus 4.8Anthropic
159.0156.9 to 161.91482$5.00 / $25.001M tokens
158.0155.9 to 161.21490$0.75 / $3.751M tokens
19Kimi K3Moonshot AI ยท Open weights
157.9155.1 to 160.61487$3.00 / $15.001M tokens
157.4155.1 to 161.11496$0.75 / $3.751M tokens
21Qwen 3.8 MaxAlibaba
157.4155.3 to 160.31483$2.00 / $6.00992K tokens
22GPT-5.4OpenAI
157.3155.4 to 159.81475$2.50 / $15.001.1M tokens
157.2155.3 to 159.81496$1.25 / $4.251M tokens
157.1153.6 to 161.4Not measured$1.75 / $14.00272K tokens
25Claude Sonnet 5Anthropic
156.9154.1 to 159.71462$2.00 / $10.001M tokens
26Claude Opus 4.7Anthropic
156.8154.9 to 159.21501$5.00 / $25.001M tokens
27GPT-6 LunaOpenAI
156.8154.3 to 159.41442$0.10 / $0.50922K tokens
156.6154.7 to 159.21456$2.00 / $6.00500K tokens
29GPT-5.6 LunaOpenAI
156.5154.2 to 159.31453$0.20 / $1.20922K tokens
30GPT-5.2 ProOpenAI
156.3153.9 to 160.0Not measured$21.00 / $168272K tokens
31GLM-5.3Z.ai ยท Open weights
156.0154.2 to 158.31481$1.40 / $4.401M tokens
32DeepSeek V4.1 FlashDeepSeek ยท Open weights
155.9153.7 to 158.61476$0.30 / $1.201M tokens
33Claude Opus 4.6Anthropic
155.7153.8 to 158.11503$5.00 / $25.001M tokens
34DeepSeek V4 Pro 0813DeepSeek ยท Open weights
155.6153.7 to 158.01465$1.32 / $3.961M tokens
155.3153.3 to 158.11487$2.00 / $12.001M tokens
36Muse Spark OpenMeta ยท Open weights
155.1152.7 to 158.0Not measured$1.25 / $4.251M tokens
155.1153.0 to 157.2Not measuredNot measuredNot measured
155.1152.8 to 157.61491$1.25 / $4.251M tokens
154.9152.9 to 157.41477$1.50 / $9.001M tokens
40DeepSeek V4 Flash 0731DeepSeek ยท Open weights
154.8152.1 to 156.9Not measured$0.19 / $0.381M tokens
154.5152.8 to 156.61483$0.75 / $3.751M tokens
154.4152.6 to 157.11441$2.00 / $6.00500K tokens
154.1152.4 to 156.21466$2.00 / $6.00500K tokens
154.1151.7 to 156.21490$1.25 / $4.251M tokens
45Qwen3.7-MaxAlibaba
154.0152.3 to 156.51474$2.50 / $7.50992K tokens
46GPT-5.2OpenAI
153.7152.1 to 155.41437$1.75 / $14.00272K tokens
47GLM-5.3-FlashZ.ai ยท Open weights
153.1150.8 to 155.51476$0.15 / $0.501M tokens
48Gemini 3 ProGoogle
153.1151.1 to 155.41486$2.00 / $12.001M tokens
152.8150.2 to 155.11472$3.00 / $15.001M tokens
152.1149.6 to 154.5Not measured$1.25 / $2.501M tokens
152.0149.8 to 154.51489Not measuredNot measured
52GLM-5.2Z.ai ยท Open weights
151.9150.0 to 154.11475$1.40 / $4.401M tokens
151.9150.4 to 153.61473$0.50 / $3.001M tokens
54Qwen 3.8 27BAlibaba ยท Open weights
151.7149.8 to 153.71437$0.45 / $3.00262K tokens
55Kimi K2.6Moonshot AI ยท Open weights
150.9149.0 to 152.71461$0.95 / $4.00262K tokens
56GPT-5 ProOpenAI
150.6148.9 to 154.2Not measured$15.00 / $120400K tokens
57Inkling-SmallThinking Machines ยท Open weights
150.3147.2 to 152.11405$0.47 / $1.201M tokens
58Claude Opus 4.5Anthropic
150.1147.8 to 153.01474$5.00 / $25.00200K tokens
58Kimi K2.7 CodeMoonshot AI ยท Open weights
150.1148.2 to 151.8Not measured$0.95 / $4.00262K tokens
60Mistral Large 4Mistral AI
150.0146.9 to 152.71434$0.68 / $2.091M tokens
61GPT-5OpenAI
150.0150.0 to 150.01435$1.25 / $10.00272K tokens
62GLM-5.1Z.ai ยท Open weights
149.8147.7 to 151.91465$1.40 / $4.40200K tokens
63GPT-5.1OpenAI
149.8148.4 to 151.71456$1.25 / $10.00272K tokens
149.4147.6 to 153.21461$1.27 / $7.61262K tokens
65DeepSeek-V4-ProDeepSeek ยท Open weights
149.1147.6 to 150.91458$1.32 / $3.961M tokens
148.8147.2 to 150.3Not measuredNot measuredNot measured
67GPT-5.4 MiniOpenAI
148.7146.9 to 150.51447$0.75 / $4.50272K tokens
68InklingThinking Machines ยท Open weights
148.4146.0 to 150.21442$1.00 / $4.051M tokens
69Kimi K2.5Moonshot AI ยท Open weights
148.1146.6 to 149.51450$0.60 / $3.00262K tokens
70o3-proOpenAI
147.3145.6 to 150.1Not measured$20.00 / $80.00200K tokens
71Qwen 3.6 PlusAlibaba
147.3145.1 to 149.31443$0.50 / $3.001M tokens
72Qwen3.7-PlusAlibaba
147.0145.3 to 148.81456$0.36 / $1.441M tokens
73MiniMax-M3MiniMax ยท Open weights
146.9142.3 to 150.21440$0.30 / $1.201M tokens
74Qwen3.5 397B-A17BAlibaba ยท Open weights
146.8145.2 to 148.91442$0.60 / $3.60262K tokens
146.7145.0 to 148.31456$3.00 / $15.00200K tokens
76o3OpenAI
146.7144.8 to 148.51432$2.00 / $8.00200K tokens
77MiniMax-M2.5MiniMax ยท Open weights
146.6142.2 to 147.91391$0.30 / $1.201M tokens
78Grok 4xAI
146.2144.4 to 148.01411$3.00 / $15.00262K tokens
79Qwen3.6 27BAlibaba ยท Open weights
146.2144.1 to 147.7Not measured$0.37 / $3.20262K tokens
146.2143.5 to 147.9Not measuredNot measuredNot measured
81DeepSeek-V4-FlashDeepSeek ยท Open weights
146.1143.8 to 148.01439$0.30 / $1.201M tokens
82DeepSeek-V3.2DeepSeek ยท Open weights
146.1144.3 to 147.41425$0.28 / $0.40164K tokens
83GPT-5.4 NanoOpenAI
146.0143.6 to 148.21401$0.20 / $1.25272K tokens
84Nemotron 3 UltraNVIDIA ยท Open weights
146.0143.7 to 148.2Not measuredNot measuredNot measured
85Kimi K2 ThinkingMoonshot AI ยท Open weights
145.8143.2 to 147.5Not measured$0.60 / $2.50262K tokens
86GLM-5Z.ai ยท Open weights
145.8143.8 to 147.71457$1.00 / $3.20200K tokens
87MiniMax-M2.7MiniMax ยท Open weights
145.8138.4 to 148.21415$0.30 / $1.19197K tokens
88o4-miniOpenAI
145.5142.9 to 147.21391$1.10 / $4.40200K tokens
89GPT-5 miniOpenAI
145.3143.3 to 147.11390$0.25 / $2.00272K tokens
145.1143.4 to 146.71446$1.25 / $10.001M tokens
91DeepSeek-V3.2-ExpDeepSeek ยท Open weights
144.9142.4 to 146.81425$0.27 / $0.41164K tokens
144.9142.4 to 146.31455$0.30 / $2.501M tokens
144.3142.3 to 145.71433$0.25 / $1.501M tokens
144.1141.6 to 146.31419Not measuredNot measured
95Claude Opus 4.1Anthropic
144.1141.8 to 146.61450$15.00 / $75.00200K tokens
96Qwen3.7 FlashAlibaba
144.1141.9 to 145.9Not measuredNot measuredNot measured
144.0141.7 to 146.8Not measuredNot measuredNot measured
98Qwen3-235B-A22B-Thinking (Jul 2025)Alibaba ยท Open weights
143.8141.7 to 145.31400$0.30 / $2.90262K tokens
99Qwen 3.6 35B-A3BAlibaba ยท Open weights
143.7141.1 to 145.8Not measured$0.20 / $1.10262K tokens
100GLM-4.7Z.ai ยท Open weights
143.6141.4 to 145.81441$0.60 / $2.20200K tokens

Best score over time

Each dot is a model that beat every model released before it. The orange line follows open-weights models only.
Best Epoch Capabilities Index score by release dateStep chart of the best score over time, from 2023 to 2026. All models: 24 new records, now 168.8 (Claude Opus 5.5). Open-weights models: 25 new records, now 157.9 (Kimi K3).1001201401601802023202420252026LLaMA-65B: 110 (2023-02-24)GPT-4 (Mar 2023): 125.7 (2023-03-14)GPT-4 Turbo (Nov 2023): 126.4 (2024-01-25)Claude 3 Opus: 126.9 (2024-02-29)GPT-4 Turbo (Apr 2024): 127.3 (2024-04-09)GPT-4o (May 2024): 129 (2024-05-13)Claude 3.5 Sonnet: 130 (2024-06-20)o1-mini: 135.7 (2024-09-12)o1: 141.7 (2024-12-17)Gemini 2.5 Pro (Mar 2025): 144 (2025-03-31)o3: 146.7 (2025-04-16)o3-pro: 147.3 (2025-06-10)GPT-5: 150 (2025-08-07)GPT-5 Pro: 150.6 (2025-10-07)Gemini 3 Pro: 153.1 (2025-11-18)GPT-5.2 Pro: 156.3 (2025-12-11)GPT-5.3 Codex: 157.1 (2026-02-05)GPT-5.4 Pro: 159.6 (2026-03-05)GPT-5.5 Pro: 162.9 (2026-04-23)Claude Fable 5: 163.4 (2026-06-09)Claude Opus 5: 163.9 (2026-07-24)Claude Fable 5.1: 166.5 (2026-09-01)GPT-6 Astra: 168.8 (2026-09-03)Claude Opus 5.5: 168.8 (2026-09-22)LLaMA-65B: 110 (2023-02-24)Llama 2-70B: 113.7 (2023-07-18)Stable Beluga 2: 117 (2023-07-20)Yi-34B: 117.3 (2023-11-02)Mixtral 8x7B: 118.4 (2023-12-11)Mixtral 8x22B: 122 (2024-04-17)Llama 3-70B: 123 (2024-04-18)DeepSeek-V2 (MoE-236B, May 2024): 124.8 (2024-05-07)Qwen2-72B: 125.3 (2024-06-07)Llama 3.1-405B: 128.8 (2024-07-23)Qwen2.5-72B: 129 (2024-09-19)Phi-4: 130.5 (2024-12-12)DeepSeek-V3: 132.3 (2024-12-26)DeepSeek-R1: 138.8 (2025-01-20)Qwen3-235B-A22B: 139.2 (2025-04-28)DeepSeek-R1 (May 2025): 141.1 (2025-05-28)Qwen3-235B-A22B-Thinking (Jul 2025): 143.8 (2025-07-25)DeepSeek-V3.2-Exp: 144.9 (2025-09-29)Kimi K2 Thinking: 145.8 (2025-11-06)DeepSeek-V3.2: 146.1 (2025-12-01)Kimi K2.5: 148.1 (2026-01-27)GLM-5.1: 149.8 (2026-04-07)Kimi K2.6: 150.9 (2026-04-20)GLM-5.2: 151.9 (2026-06-16)Kimi K3: 157.9 (2026-07-16)Claude Opus 5.5Claude Fable 5DeepSeek-R1Phi-4Best score so far
Best Epoch Capabilities Index score by release dateStep chart of the best score over time, from 2023 to 2026. All models: 24 new records, now 168.8 (Claude Opus 5.5). Open-weights models: 25 new records, now 157.9 (Kimi K3).1001201401601802023202420252026LLaMA-65B: 110 (2023-02-24)GPT-4 (Mar 2023): 125.7 (2023-03-14)GPT-4 Turbo (Nov 2023): 126.4 (2024-01-25)Claude 3 Opus: 126.9 (2024-02-29)GPT-4 Turbo (Apr 2024): 127.3 (2024-04-09)GPT-4o (May 2024): 129 (2024-05-13)Claude 3.5 Sonnet: 130 (2024-06-20)o1-mini: 135.7 (2024-09-12)o1: 141.7 (2024-12-17)Gemini 2.5 Pro (Mar 2025): 144 (2025-03-31)o3: 146.7 (2025-04-16)o3-pro: 147.3 (2025-06-10)GPT-5: 150 (2025-08-07)GPT-5 Pro: 150.6 (2025-10-07)Gemini 3 Pro: 153.1 (2025-11-18)GPT-5.2 Pro: 156.3 (2025-12-11)GPT-5.3 Codex: 157.1 (2026-02-05)GPT-5.4 Pro: 159.6 (2026-03-05)GPT-5.5 Pro: 162.9 (2026-04-23)Claude Fable 5: 163.4 (2026-06-09)Claude Opus 5: 163.9 (2026-07-24)Claude Fable 5.1: 166.5 (2026-09-01)GPT-6 Astra: 168.8 (2026-09-03)Claude Opus 5.5: 168.8 (2026-09-22)LLaMA-65B: 110 (2023-02-24)Llama 2-70B: 113.7 (2023-07-18)Stable Beluga 2: 117 (2023-07-20)Yi-34B: 117.3 (2023-11-02)Mixtral 8x7B: 118.4 (2023-12-11)Mixtral 8x22B: 122 (2024-04-17)Llama 3-70B: 123 (2024-04-18)DeepSeek-V2 (MoE-236B, May 2024): 124.8 (2024-05-07)Qwen2-72B: 125.3 (2024-06-07)Llama 3.1-405B: 128.8 (2024-07-23)Qwen2.5-72B: 129 (2024-09-19)Phi-4: 130.5 (2024-12-12)DeepSeek-V3: 132.3 (2024-12-26)DeepSeek-R1: 138.8 (2025-01-20)Qwen3-235B-A22B: 139.2 (2025-04-28)DeepSeek-R1 (May 2025): 141.1 (2025-05-28)Qwen3-235B-A22B-Thinking (Jul 2025): 143.8 (2025-07-25)DeepSeek-V3.2-Exp: 144.9 (2025-09-29)Kimi K2 Thinking: 145.8 (2025-11-06)DeepSeek-V3.2: 146.1 (2025-12-01)Kimi K2.5: 148.1 (2026-01-27)GLM-5.1: 149.8 (2026-04-07)Kimi K2.6: 150.9 (2026-04-20)GLM-5.2: 151.9 (2026-06-16)Kimi K3: 157.9 (2026-07-16)Claude Opus 5.5Claude Opus 5GPT-5.3 CodexGLM-5.1DeepSeek-R1DeepSeek-V3Best score so far
Best Epoch Capabilities Index score by release dateStep chart of the best score over time, from 2023 to 2026. All models: 24 new records, now 168.8 (Claude Opus 5.5). Open-weights models: 25 new records, now 157.9 (Kimi K3).1001201401601802023202420252026LLaMA-65B: 110 (2023-02-24)GPT-4 (Mar 2023): 125.7 (2023-03-14)GPT-4 Turbo (Nov 2023): 126.4 (2024-01-25)Claude 3 Opus: 126.9 (2024-02-29)GPT-4 Turbo (Apr 2024): 127.3 (2024-04-09)GPT-4o (May 2024): 129 (2024-05-13)Claude 3.5 Sonnet: 130 (2024-06-20)o1-mini: 135.7 (2024-09-12)o1: 141.7 (2024-12-17)Gemini 2.5 Pro (Mar 2025): 144 (2025-03-31)o3: 146.7 (2025-04-16)o3-pro: 147.3 (2025-06-10)GPT-5: 150 (2025-08-07)GPT-5 Pro: 150.6 (2025-10-07)Gemini 3 Pro: 153.1 (2025-11-18)GPT-5.2 Pro: 156.3 (2025-12-11)GPT-5.3 Codex: 157.1 (2026-02-05)GPT-5.4 Pro: 159.6 (2026-03-05)GPT-5.5 Pro: 162.9 (2026-04-23)Claude Fable 5: 163.4 (2026-06-09)Claude Opus 5: 163.9 (2026-07-24)Claude Fable 5.1: 166.5 (2026-09-01)GPT-6 Astra: 168.8 (2026-09-03)Claude Opus 5.5: 168.8 (2026-09-22)LLaMA-65B: 110 (2023-02-24)Llama 2-70B: 113.7 (2023-07-18)Stable Beluga 2: 117 (2023-07-20)Yi-34B: 117.3 (2023-11-02)Mixtral 8x7B: 118.4 (2023-12-11)Mixtral 8x22B: 122 (2024-04-17)Llama 3-70B: 123 (2024-04-18)DeepSeek-V2 (MoE-236B, May 2024): 124.8 (2024-05-07)Qwen2-72B: 125.3 (2024-06-07)Llama 3.1-405B: 128.8 (2024-07-23)Qwen2.5-72B: 129 (2024-09-19)Phi-4: 130.5 (2024-12-12)DeepSeek-V3: 132.3 (2024-12-26)DeepSeek-R1: 138.8 (2025-01-20)Qwen3-235B-A22B: 139.2 (2025-04-28)DeepSeek-R1 (May 2025): 141.1 (2025-05-28)Qwen3-235B-A22B-Thinking (Jul 2025): 143.8 (2025-07-25)DeepSeek-V3.2-Exp: 144.9 (2025-09-29)Kimi K2 Thinking: 145.8 (2025-11-06)DeepSeek-V3.2: 146.1 (2025-12-01)Kimi K2.5: 148.1 (2026-01-27)GLM-5.1: 149.8 (2026-04-07)Kimi K2.6: 150.9 (2026-04-20)GLM-5.2: 151.9 (2026-06-16)Kimi K3: 157.9 (2026-07-16)Claude Opus 5.5Claude Opus 5GPT-5.5 ProGPT-5.2 Proo3-proKimi K3GLM-5.2DeepSeek-V3.2DeepSeek-R1DeepSeek-V3Best score so far
  • All models: now 168.8 (Claude Opus 5.5)
  • Open-weights models: now 157.9 (Kimi K3)
Newest record: Claude Opus 5.5, 168.8 points. Models without a release date are left out.

How to read this leaderboard

Higher is better. The index is a relative scale, so only the gaps between models matter, not the number itself. Each score comes with a likely range: when two models' ranges overlap, the difference between them is too small to trust, so treat nearby ranks as a tie. Prices are dollars per million tokens (a token is a small piece of a word).

Questions people ask

What is the Epoch Capabilities Index?

It is a combined score from Epoch AI that merges results from many different benchmarks into one number, so models that were tested on different sets of benchmarks can still be compared. A higher number means stronger results overall.

Why does each score have a range?

Every score is an estimate. The range shows how sure Epoch is: a wide range means less certainty. If the ranges of two models overlap, we cannot say which one is truly ahead.

Does the top model suit my work best?

Not always. A leaderboard compares models on one kind of test. Price, speed, privacy rules, the apps you already use and the type of work you do all matter. Use the rank as a starting point, then try two or three models on your own tasks.

Why is a model I know missing?

A model appears only when an open source has published results for it. New models can take days or weeks to be measured, and models with no published score are left out rather than guessed.

Where does the data come from?

Scores come from Epoch AI's open benchmark data (licensed CC BY 4.0). We match models across sources, rank them and show them in charts, without changing the scores. Epoch AI does not endorse this site. Ratings come from the open leaderboard dataset published by Arena (arena.ai), licensed CC BY 4.0. We keep the latest published ratings, match models to our other sources and rank them. Arena does not endorse this site. Prices and context windows come from the open-source LiteLLM price list (MIT licence), which records each model maker's own price page. Prices change often, so confirm on the maker's site before you buy.

How often is this leaderboard updated?

We check our open data sources every day and show the date of the data at the top of the page. A model only moves when its source publishes new results, so a number can stay the same for weeks.

More leaderboards

Different questions need different tests. Pick the one that matches your work.

Where this data comes from

  • Epoch AI: Benchmark data: Epoch AI, 'Capabilities & benchmarking', epoch.ai/benchmarks (CC BY 4.0). We match models across sources, rank them and show them in charts. Scores are not changed. Epoch AI does not endorse this site.
  • Arena (formerly LMArena): Human-preference ratings: Arena (arena.ai) leaderboard dataset, CC BY 4.0. We keep the latest published ratings, match them to models from other sources and rank them. Ratings are not changed. Arena does not endorse this site.
  • LiteLLM model price list: Prices and context windows: LiteLLM model price list (github.com/BerriAI/litellm, MIT licence). We use the model maker's own price entry when there is one. Prices change often, so always confirm on the maker's site before you buy.

Newest data on this page: 26 Oct 2026. Prices are list prices and change often, so confirm on the maker's site before you buy. Sponsors never change a score or an order. How we calculate this ยท Report a mistake

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