LLM API cost
LLM price comparison
The same workload priced on every model in the table, cheapest first.
Prices read from the vendor pages on 2026-10-20. Arithmetic on list prices, not advice or a quote.
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How it works
Price is one axis; quality, latency and context window are the others. Use the table to find the cheapest model that passes your own evaluation, not the cheapest model overall.
The formula
llm-api-cost for each model, sorted by monthly costWorked example
With the inputs the page opens on:
- input tokens: 1500 tokens
- output tokens: 500 tokens
- requests per month: 100000
- cached share pct: 0%
- batch: false
- vendor: all
gives
- cheapest model: Ministral 3 3B
- cheapest monthly: $20
- priciest model: Claude Fable 5.1
- priciest monthly: $4,000
- models compared: 57
Sources
- https://developers.openai.com/api/docs/pricing (read 2026-10-20)
- https://platform.claude.com/docs/en/about-claude/pricing (read 2026-10-20)
- https://ai.google.dev/gemini-api/docs/pricing (read 2026-10-20)
- https://docs.mistral.ai/inference/pricing (read 2026-10-20)
- https://api-docs.deepseek.com/quick_start/pricing (read 2026-10-20)
- https://docs.x.ai/docs/models (read 2026-10-20)
Prices read from each vendor's own pricing page on 2026-10-20; the page may have changed since. This is arithmetic on published list prices, not advice or a quote. Check the vendor's page before committing a budget.
Questions
Why are some vendors missing a cached price?
Related tools
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