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AI Rankings

Compare AI Models: Scores, Prices and Context Size

Scores, prices and context size for the AI models people choose between, on one page. Sort the table, filter by maker or open weights, or jump to a leaderboard. Every number shows where it came from.

Data updated

Which models give the most for the money?

Dots further up score higher on the Epoch Capabilities Index. Dots further left cost less. The line joins the best-value models: nothing cheaper scores as high.
Value map: overall score against price per million tokensScatter chart of 123 models. Left to right is price, from $0.01 to $100 per million tokens, each step ten times more. Bottom to top is score. Best-value line, cheapest first: Qwen2.5-Coder ($0.04, score 113); Gemma 3 4B ($0.05, score 115.9); Qwen3-8B ($0.07, score 136.1); gpt-oss-20b ($0.10, score 137.7); Qwen3-14B ($0.12, score 138.2); GPT-5 nano ($0.14, score 139.2).100120140160180$0.01$0.10$1$10$100Claude Haiku 5.5: $0.20 per 1M tokens, score 159.3Claude Opus 5.5: $8 per 1M tokens, score 168.8Gemma 3 4B: $0.05 per 1M tokens, score 115.9, open weightsGPT-5 nano: $0.14 per 1M tokens, score 139.2GPT-6.1 Sol: $4 per 1M tokens, score 168.4gpt-oss-20b: $0.10 per 1M tokens, score 137.7, open weightsQwen2.5-Coder (7B): $0.04 per 1M tokens, score 113, open weightsQwen3-14B: $0.12 per 1M tokens, score 138.2, open weightsQwen3.5-9B: $0.17 per 1M tokens, score 139.3, open weightsQwen3-8B: $0.07 per 1M tokens, score 136.1, open weightsClaude Opus 5.5Claude Haiku 5.5Qwen3.5-9BQwen3-14BGemma 3 4B↖ Smarter and cheaperOverall scoreUS$ per 1M tokens (each step 10x)
Value map: overall score against price per million tokensScatter chart of 123 models. Left to right is price, from $0.01 to $100 per million tokens, each step ten times more. Bottom to top is score. Best-value line, cheapest first: Qwen2.5-Coder ($0.04, score 113); Gemma 3 4B ($0.05, score 115.9); Qwen3-8B ($0.07, score 136.1); gpt-oss-20b ($0.10, score 137.7); Qwen3-14B ($0.12, score 138.2); GPT-5 nano ($0.14, score 139.2).100120140160180$0.01$0.10$1$10$100GPT-6 Astra: $20 per 1M tokens, score 168.8Claude Haiku 5.5: $0.20 per 1M tokens, score 159.3Claude Opus 5.5: $8 per 1M tokens, score 168.8Gemma 3 4B: $0.05 per 1M tokens, score 115.9, open weightsGPT-5 nano: $0.14 per 1M tokens, score 139.2GPT-6.1 Sol: $4 per 1M tokens, score 168.4gpt-oss-20b: $0.10 per 1M tokens, score 137.7, open weightsQwen2.5-Coder (7B): $0.04 per 1M tokens, score 113, open weightsQwen3-14B: $0.12 per 1M tokens, score 138.2, open weightsQwen3.5-9B: $0.17 per 1M tokens, score 139.3, open weightsQwen3-8B: $0.07 per 1M tokens, score 136.1, open weightsClaude Opus 5.5GPT-6 AstraClaude Haiku 5.5Qwen3.5-9BGPT-5 nanoQwen3-14BQwen3-8B↖ Smarter and cheaperOverall scorePrice per million tokens (blended)
Value map: overall score against price per million tokensScatter chart of 123 models. Left to right is price, from $0.01 to $100 per million tokens, each step ten times more. Bottom to top is score. Best-value line, cheapest first: Qwen2.5-Coder ($0.04, score 113); Gemma 3 4B ($0.05, score 115.9); Qwen3-8B ($0.07, score 136.1); gpt-oss-20b ($0.10, score 137.7); Qwen3-14B ($0.12, score 138.2); GPT-5 nano ($0.14, score 139.2).100120140160180$0.01$0.10$1$10$100Claude 3.7 Sonnet: $6 per 1M tokens, score 141Claude Fable 5: $20 per 1M tokens, score 163.4Claude Fable 5.1: $20 per 1M tokens, score 166.5Claude Haiku 4.5: $2 per 1M tokens, score 142.2Claude Opus 4: $30 per 1M tokens, score 142.5Claude Opus 4.1: $30 per 1M tokens, score 144.1Claude Opus 4.5: $10 per 1M tokens, score 150.1Claude Opus 4.6: $10 per 1M tokens, score 155.7Claude Opus 4.7: $10 per 1M tokens, score 156.8Claude Opus 4.8: $10 per 1M tokens, score 159Claude Opus 5: $10 per 1M tokens, score 163.9Claude Sonnet 4: $6 per 1M tokens, score 141.6Claude Sonnet 4.5: $6 per 1M tokens, score 146.7Claude Sonnet 4.6: $6 per 1M tokens, score 152.8Claude Sonnet 5: $4 per 1M tokens, score 156.9Claude Sonnet 5.5: $4 per 1M tokens, score 166.2DeepSeek-R1: $0.96 per 1M tokens, score 138.8, open weightsDeepSeek-R1 (May 2025): $1.18 per 1M tokens, score 141.1, open weightsDeepSeek-V3.1: $0.84 per 1M tokens, score 139.8, open weightsDeepSeek-V3.2: $0.31 per 1M tokens, score 146.1, open weightsDeepSeek-V3.2-Exp: $0.30 per 1M tokens, score 144.9, open weightsDeepSeek V4.1 Flash: $0.52 per 1M tokens, score 155.9, open weightsDeepSeek-V4-Flash: $0.52 per 1M tokens, score 146.1, open weightsDeepSeek V4 Flash 0731: $0.24 per 1M tokens, score 154.8, open weightsDeepSeek-V4-Pro: $1.98 per 1M tokens, score 149.1, open weightsDeepSeek V4 Pro 0813: $1.98 per 1M tokens, score 155.6, open weightsGemini 2.5 Flash (Sep 2025): $0.85 per 1M tokens, score 142.9Gemini 2.5 Pro (Jun 2025): $3.44 per 1M tokens, score 145.1Gemini 3.1 Flash-Lite: $0.56 per 1M tokens, score 144.3Gemini 3.1 Pro: $4.5 per 1M tokens, score 155.3Gemini 3.5 Flash: $3.38 per 1M tokens, score 154.9Gemini 3.5 Flash-Lite: $0.85 per 1M tokens, score 144.9Gemini 3.6 Flash: $1.5 per 1M tokens, score 154.5Gemini 3.7 Flash: $1.5 per 1M tokens, score 158Gemini 3.8 Flash: $1.5 per 1M tokens, score 157.4Gemini 3 Flash: $1.13 per 1M tokens, score 151.9Gemini 3 Pro: $4.5 per 1M tokens, score 153.1Gemini 4 Argon: $4 per 1M tokens, score 166.5Gemma 4 26B A4B: $0.26 per 1M tokens, score 141.9, open weightsGemma 4 31B IT: $0.21 per 1M tokens, score 143, open weightsGLM-4.7: $1 per 1M tokens, score 143.6, open weightsGLM-5: $1.55 per 1M tokens, score 145.8, open weightsGLM-5.1: $2.15 per 1M tokens, score 149.8, open weightsGLM-5.2: $2.15 per 1M tokens, score 151.9, open weightsGLM-5.3: $2.15 per 1M tokens, score 156, open weightsGLM-5.3-Flash: $0.24 per 1M tokens, score 153.1, open weightsGPT-5: $3.44 per 1M tokens, score 150GPT-5.1: $3.44 per 1M tokens, score 149.8GPT-5.2: $4.81 per 1M tokens, score 153.7GPT-5.2 Pro: $57.8 per 1M tokens, score 156.3GPT-5.3 Codex: $4.81 per 1M tokens, score 157.1GPT-5.4: $5.63 per 1M tokens, score 157.3GPT-5.4 Mini: $1.69 per 1M tokens, score 148.7GPT-5.4 Nano: $0.46 per 1M tokens, score 146GPT-5.4 Pro: $67.5 per 1M tokens, score 159.6GPT-5.5: $11.3 per 1M tokens, score 159.7GPT-5.5 Pro: $67.5 per 1M tokens, score 162.9GPT-5.6 Luna: $0.45 per 1M tokens, score 156.5GPT-5.6 Sol: $8 per 1M tokens, score 162.8GPT-5.6 Terra: $4.5 per 1M tokens, score 160.1GPT-5 mini: $0.69 per 1M tokens, score 145.3GPT-5 Pro: $41.3 per 1M tokens, score 150.6GPT-6 Astra: $20 per 1M tokens, score 168.8GPT-6 Luna: $0.20 per 1M tokens, score 156.8GPT-6 Sol: $4 per 1M tokens, score 163.7gpt-oss-120b: $0.26 per 1M tokens, score 139.8, open weightsGrok 3: $6 per 1M tokens, score 138.2Grok-3 mini: $0.43 per 1M tokens, score 140.2Grok 4: $6 per 1M tokens, score 146.2Grok 4.20: $1.56 per 1M tokens, score 152.1Grok 4.5: $3 per 1M tokens, score 154.1Grok 4.6: $3 per 1M tokens, score 156.6Grok 4.7: $3 per 1M tokens, score 154.4Inkling: $1.76 per 1M tokens, score 148.4, open weightsInkling-Small: $0.66 per 1M tokens, score 150.3, open weightsKimi K2.5: $1.2 per 1M tokens, score 148.1, open weightsKimi K2.6: $1.71 per 1M tokens, score 150.9, open weightsKimi K2.7 Code: $1.71 per 1M tokens, score 150.1, open weightsKimi K2 (Jul 2025): $0.96 per 1M tokens, score 140, open weightsKimi K2 Thinking: $1.08 per 1M tokens, score 145.8, open weightsKimi K3: $6 per 1M tokens, score 157.9, open weightsMiniMax-M2.5: $0.52 per 1M tokens, score 146.6, open weightsMiniMax-M2.7: $0.52 per 1M tokens, score 145.8, open weightsMiniMax-M3: $0.52 per 1M tokens, score 146.9, open weightsMistral Large 4: $1.03 per 1M tokens, score 150Mistral Medium 3.5: $3 per 1M tokens, score 141.4, open weightsMuse Spark 1.1: $2 per 1M tokens, score 154.1Muse Spark 1.2: $2 per 1M tokens, score 155.1Muse Spark 1.3: $2 per 1M tokens, score 157.2Muse Spark Open: $2 per 1M tokens, score 155.1, open weightso1: $26.3 per 1M tokens, score 141.7o3: $3.5 per 1M tokens, score 146.7o3-mini: $1.93 per 1M tokens, score 140.2o3-pro: $35 per 1M tokens, score 147.3o4-mini: $1.93 per 1M tokens, score 145.5Qwen 3.6 35B-A3B: $0.42 per 1M tokens, score 143.7, open weightsQwen 3.6 Max (Preview): $2.85 per 1M tokens, score 149.4Qwen 3.6 Plus: $1.13 per 1M tokens, score 147.3Qwen 3.8 27B: $1.09 per 1M tokens, score 151.7, open weightsQwen 3.8 Max: $3 per 1M tokens, score 157.4Qwen3-235B-A22B: $0.37 per 1M tokens, score 139.2, open weightsQwen3-235B-A22B-Instruct (Jul 2025): $0.39 per 1M tokens, score 138.8, open weightsQwen3-235B-A22B-Thinking (Jul 2025): $0.95 per 1M tokens, score 143.8, open weightsQwen3-30B-A3B-Instruct (Jul 2025): $0.15 per 1M tokens, score 137.3, open weightsQwen3-30B-A3B-Thinking (Jul 2025): $0.90 per 1M tokens, score 139.6, open weightsQwen3-32B: $0.17 per 1M tokens, score 138.4, open weightsQwen3.5-35B-A3B: $0.50 per 1M tokens, score 142.5, open weightsQwen3.5 397B-A17B: $1.35 per 1M tokens, score 146.8, open weightsQwen3.6 27B: $1.08 per 1M tokens, score 146.2, open weightsQwen3.7-Max: $3.75 per 1M tokens, score 154Qwen3.7-Plus: $0.63 per 1M tokens, score 147Qwen3-Max: $3.05 per 1M tokens, score 142.3QwQ-32B: $0.26 per 1M tokens, score 137.5, open weightsClaude Haiku 5.5: $0.20 per 1M tokens, score 159.3Claude Opus 5.5: $8 per 1M tokens, score 168.8Gemma 3 4B: $0.05 per 1M tokens, score 115.9, open weightsGPT-5 nano: $0.14 per 1M tokens, score 139.2GPT-6.1 Sol: $4 per 1M tokens, score 168.4gpt-oss-20b: $0.10 per 1M tokens, score 137.7, open weightsQwen2.5-Coder (7B): $0.04 per 1M tokens, score 113, open weightsQwen3-14B: $0.12 per 1M tokens, score 138.2, open weightsQwen3.5-9B: $0.17 per 1M tokens, score 139.3, open weightsQwen3-8B: $0.07 per 1M tokens, score 136.1, open weightsClaude Opus 5.5GPT-6 AstraGPT-6.1 SolClaude Haiku 5.5Qwen3.5-9BGPT-5 nanoQwen3-14BQwen3-8BGemma 3 4B↖ Smarter and cheaperOverall scorePrice per million tokens (blended)
  • Best-value line: nothing cheaper is as smart
  • Diamond = open weights
  • OpenAI
  • Alibaba (Qwen)
  • Anthropic
  • Google
  • DeepSeek
  • xAI
  • Z.ai
  • Moonshot
  • Meta
  • Mistral
  • Other makers
Each dot is a model that has both a score and a list price. Diamonds are open-weights models. Select a dot to open the model.
Show the 10 best-value models as a table
Best-value models: no cheaper model scores as high
ModelMakerOverall scorePrice per 1M
Qwen2.5-Coder (7B)Alibaba113.0$0.045
Gemma 3 4BGoogle115.9$0.05
Qwen3-8BAlibaba136.1$0.065
gpt-oss-20bOpenAI137.7$0.10
Qwen3-14BAlibaba138.2$0.12
GPT-5 nanoOpenAI139.2$0.14
Qwen3.5-9BAlibaba139.3$0.17
Claude Haiku 5.5Anthropic159.3$0.20
GPT-6.1 SolOpenAI168.4$4.00
Claude Opus 5.5Anthropic168.8$8.00

All 279 models

Click a column heading to sort. Higher is better for scores, lower is better for price. A gap of a point or two in a score is usually within the margin of error.

Showing 60 of 279 models

AI models with overall score, human-vote rating, price, context window and release date. Click a column heading to sort.
Claude Opus 5.5Anthropic168.8165–1741509$8.00
GPT-6 AstraOpenAI168.8165–1751477$20.00
GPT-6.1 SolOpenAI168.4165–1741480$4.00
Claude Fable 5.1Anthropic166.5163–1711503$20.00
Gemini 4 ArgonGoogle166.4163–1721517$4.00
Claude Sonnet 5.5Anthropic166.2163–1711478$4.00
Claude Opus 5Anthropic163.9161–1681491$10.00
GPT-6 SolOpenAI163.7161–1671459$4.00
Claude Fable 5Anthropic163.4161–1681503$20.00
GPT-5.5 ProOpenAI162.9160–167Not measured$67.50
GPT-5.6 SolOpenAI162.8160–1671485$8.00
Muse WonderMetaLimited data161.8159–1651509Not measured
GPT-5.6 TerraOpenAI160.1157–1631467$4.50
GPT-5.5OpenAI159.7157–1641482$11.25
GPT-5.4 ProOpenAI159.6157–163Not measured$67.50
Claude Haiku 5.5Anthropic159.3156–1621425$0.20
Claude Opus 4.8Anthropic159.0157–1621482$10.00
Gemini 3.7 FlashGoogle158.0156–1611490$1.50
Kimi K3Moonshot AIOpen weights157.9155–1611487$6.00
Gemini 3.8 FlashGoogle157.4155–1611496$1.50
Qwen 3.8 MaxAlibaba157.4155–1601483$3.00
GPT-5.4OpenAI157.3155–1601475$5.63
Muse Spark 1.3Meta157.2155–1601496$2.00
GPT-5.3 CodexOpenAI157.1154–161Not measured$4.81
Claude Sonnet 5Anthropic156.9154–1601462$4.00
Claude Opus 4.7Anthropic156.8155–1591501$10.00
GPT-6 LunaOpenAI156.8154–1591442$0.20
Grok 4.6xAI156.6155–1591456$3.00
GPT-5.6 LunaOpenAI156.5154–1591453$0.45
GPT-5.2 ProOpenAI156.3154–160Not measured$57.75
GLM-5.3Z.aiOpen weights156.0154–1581481$2.15
DeepSeek V4.1 FlashDeepSeekOpen weights155.9154–1591476$0.52
Claude Opus 4.6Anthropic155.7154–1581503$10.00
DeepSeek V4 Pro 0813DeepSeekOpen weights155.6154–1581465$1.98
Gemini 3.1 ProGoogle155.3153–1581487$4.50
Muse Spark OpenMetaOpen weights155.1153–158Not measured$2.00
Qwen3.8 Max (0902)AlibabaLimited data155.1153–157Not measuredNot measured
Muse Spark 1.2Meta155.1153–1581491$2.00
Gemini 3.5 FlashGoogle154.9153–1571477$3.38
DeepSeek V4 Flash 0731DeepSeekOpen weights154.8152–157Not measured$0.24
Gemini 3.6 FlashGoogle154.5153–1571483$1.50
Grok 4.7xAI154.4153–1571441$3.00
Grok 4.5xAI154.1152–1561466$3.00
Muse Spark 1.1Meta154.1152–1561490$2.00
Qwen3.7-MaxAlibaba154.0152–1571474$3.75
GPT-5.2OpenAI153.7152–1551437$4.81
GLM-5.3-FlashZ.aiOpen weights153.1151–1561476$0.24
Gemini 3 ProGoogle153.1151–1551486$4.50
Claude Sonnet 4.6Anthropic152.8150–1551472$6.00
Grok 4.20xAI152.1150–155Not measured$1.56
Muse SparkMetaLimited data152.0150–1541489Not measured
GLM-5.2Z.aiOpen weights151.9150–1541475$2.15
Gemini 3 FlashGoogle151.9150–1541473$1.13
Qwen 3.8 27BAlibabaOpen weights151.7150–1541437$1.09
Kimi K2.6Moonshot AIOpen weights150.9149–1531461$1.71
GPT-5 ProOpenAI150.6149–154Not measured$41.25
Inkling-SmallThinking MachinesOpen weights150.3147–1521405$0.66
Claude Opus 4.5Anthropic150.1148–1531474$10.00
Kimi K2.7 CodeMoonshot AIOpen weights150.1148–152Not measured$1.71
Mistral Large 4Mistral AI150.0147–1531434$1.03

Rankings by what you need

Each leaderboard ranks models on one thing, with the numbers, a plain explanation and a download.

Questions people ask

How many AI models do you compare?
We currently track 279 AI models. 270 have an Epoch Capabilities Index score, 201 have a list price and 125 have open weights. Some newer models have only part of the data yet, and the table says "Not measured" where we hold nothing.
What does blended price mean?
A single price per million tokens that mixes input and output at a fixed ratio so models can be compared in one number. On this site blended price is (3 x input price + output price) / 4. It is our own calculation for comparison, not a price any company charges.
What are open weights?
An open-weights model is one whose trained parameters can be downloaded, so you can run it on your own hardware or with other hosts. This is not always the same as open source. Licences differ: some allow almost any use, others limit commercial use or the size of company. Training data and code are often not shared.
Where do the scores come from?
The overall score is the Epoch Capabilities Index from Epoch AI, which combines results from many benchmarks. The human-votes column is the Arena text rating, built from people choosing between two anonymous answers. We do not run the tests ourselves, and we show both so you are not relying on one source.
How often is this updated?
We pull the open sources regularly and review large changes by hand before they appear. The newest data on this page is dated 26 Oct 2026. Prices change often, so confirm on the maker's site before you buy.

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 · Report a mistake

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