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AI Rankings

Best Value AI Models: Where Paying More Actually Buys More

A model is on the best-value frontier when no other model is both cheaper and at least as smart. Every model on this page is the cheapest way to reach its level on the Epoch Capabilities Index. Moving down the list costs more and buys a higher score.

Data updated

Smarter and cheaper: where the value is

Each dot is a model. Higher means a higher Epoch index score, further left means cheaper. The line joins the best-value models: nothing cheaper scores as high.
Epoch index score against price per million tokensScatter chart of 87 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: $0.07 per 1M tokens, score 136.1, open weightsClaude Opus 5.5Claude Haiku 5.5Qwen3.5-9BQwen3-14BGemma 3 4B↖ Smarter and cheaperCapability scoreUS$ per 1M tokens (each step 10x)
Epoch index score against price per million tokensScatter chart of 87 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: $0.07 per 1M tokens, score 136.1, open weightsClaude Opus 5.5GPT-6 AstraClaude Haiku 5.5Qwen3.5-9BGPT-5 nanoQwen3-14BQwen3-8B↖ Smarter and cheaperCapability scorePrice per million tokens (US$). Each step right costs 10 times more
Epoch index score against price per million tokensScatter chart of 87 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 Fable 5: $20 per 1M tokens, score 163.4Claude Fable 5.1: $20 per 1M tokens, score 166.5Claude 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 4.5: $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-V3.2: $0.31 per 1M tokens, score 146.1, 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 3.1 Pro: $4.5 per 1M tokens, score 155.3Gemini 3.5 Flash: $3.38 per 1M tokens, score 154.9Gemini 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 166.5GLM-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 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 163.7Grok 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 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-M3: $0.52 per 1M tokens, score 146.9, open weightsMistral Large 4: $1.03 per 1M tokens, score 150Muse 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 weightso3: $3.5 per 1M tokens, score 146.7o3-pro: $35 per 1M tokens, score 147.3Qwen 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 157.4Qwen3.5 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 147Claude 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: $0.07 per 1M tokens, score 136.1, open weightsClaude Opus 5.5GPT-6 AstraGPT-6.1 SolClaude Haiku 5.5Qwen3.5-9BGPT-5 nanoQwen3-14BQwen3-8BGemma 3 4B↖ Smarter and cheaperCapability scorePrice per million tokens (US$). Each step right costs 10 times more
  • Best-value line: nothing cheaper is as smart
  • Diamond = open weights
Prices are blended: three parts input to one part output. Diamonds are open-weights models.

Full ranking

All 7 models.Download the full table (CSV)Data credit: Epoch AI, LiteLLM model price list, used under open licences (details at the foot of the page).
Best Value AI Models: Where Paying More Actually Buys More: 7 of 7 models
Step and modelBlended price per million tokensEpoch indexPrice per 1M tokens (in / out)Cost of 100 chatsContext window
1gpt-oss-20bOpenAI · Open weights
$0.10137.7$0.06 / $0.24$0.018131K tokens
2Qwen3-14BAlibaba · Open weights
$0.12138.2$0.08 / $0.24$0.0241K tokens
3GPT-5 nanoOpenAI
$0.14139.2$0.05 / $0.40$0.025272K tokens
4Qwen3.5-9BAlibaba · Open weights
$0.17139.3$0.17 / $0.15$0.025262K tokens
$0.20159.3$0.10 / $0.50$0.0351M tokens
$4.00168.4$2.00 / $10.00$0.70922K tokens
7Claude Opus 5.5Anthropic
$8.00168.8$4.00 / $20.00$1.401M tokens

How to read this leaderboard

Read the list from top to bottom as steps up in price and in score, not as a ranking from best to worst. The first step is the cheapest model that still scores in the top half. The last step is the highest score available. Pick the step that fits your budget. The line on the chart also runs through a few very cheap models that score below the middle of the field. They are not listed here, because most real work needs more capability than they offer. Blended price assumes three input tokens for every output token: (3 x input price + output price) / 4. It is a typical mix for chat and document work. Your own mix may differ.

Questions people ask

What does the frontier mean?

It is the set of models you cannot beat on both price and score at once. If a model is not on it, another model costs the same or less and scores at least as high.

Is a model off the frontier a bad choice?

Not necessarily. It may suit your apps, privacy rules, languages or tools better. The frontier only compares list price and the Epoch score.

Why are some models missing?

Models without a list price, with a price of zero or without an Epoch score cannot be placed, so they are left out rather than guessed.

How often does the list change?

Whenever a price or score changes enough to move a model on or off the frontier. Large price changes are checked before they appear here.

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. 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.
  • 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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