AI API Rankings
Benchmark rankings, prices, context windows and speed for every major AI API — on one page.
Rankings by benchmark
Pick a benchmark to see the top models. Sources are listed in the footer.
Data: Artificial Analysis · LMArena leaderboard dataset (CC BY 4.0) · provider model cards
All models
Click a column header to sort. Prices are official API list prices in USD per 1M tokens.
Reading the table (promo prices, self-reported scores, etc.)
Compare models head-to-head
Pick up to 4 models to compare prices, specs and benchmark scores side by side.
Data: Artificial Analysis · LMArena dataset (CC BY 4.0) · provider model cards & pricing pages
Price vs performance
X-axis: blended price (3:1 input:output weighting, log scale). Y-axis: Artificial Analysis Intelligence Index. Upper-left is cheap and smart.
Data: Artificial Analysis · official provider pricing pages
Frontier progress over time
Intelligence Index by release month. Each dot is a model, colored by provider.
Data: Artificial Analysis
Monthly cost calculator
Enter your expected usage to estimate monthly cost per model, cheapest first.
Chat apps typically see 3–5× more input than output. List prices only — cache and batch discounts are not applied.
Benchmark guide
What each benchmark used on this page actually measures.
Frequently asked questions
Where does the pricing data come from?
Prices come from each provider's official pricing page (OpenAI Platform, Anthropic Docs, Google AI for Developers, xAI Docs, DeepSeek API Docs, and others). Listed prices are standard-tier list prices per 1M tokens; cached-input, batch and volume discounts are not applied unless noted.
Are the benchmark scores official?
Where possible we prefer independently re-measured numbers such as Artificial Analysis; otherwise we use provider-reported scores. The same benchmark can vary with run settings (tools, reasoning budget), so treat scores as directional rather than absolute.
What is a blended price?
A weighted average of input and output token prices at a 3:1 input-to-output ratio, a common industry convention for comparing model prices with a single number.
How often is the data updated?
Check the data-as-of date at the top and bottom of the page. New models and price changes are verified manually before being added. If you spot an error, please report it.
Which model should I choose?
As a rule of thumb: frontier models for complex reasoning and coding (expensive), small models for high-volume simple tasks (cheap), and mid-tier models in between. Models in the upper-left of the price-vs-performance chart offer the best value.