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OpenAI API pricing

The GPT-6 family — Astra for the hardest end-to-end work, Sol for complex coding and agentic workflows, and Luna for efficient high-volume tasks.

OpenAI models — price per 1M tokens

All prices in USD. Catalog updated 2026-09-23; model pages show the source-specific verification date. Cheapest reference cost first.

Model Input /1M Output /1M Cost / call* Context Type
GPT-6 Luna
Efficient model for focused, high-volume tasks · >272K input uses long-context rates
$0.100 $0.500 $0.0006 1.05M Fast / cheap
GPT-5.6 Luna
Cost-sensitive, high-volume tier
$0.200 $1.20 $0.0014 1.05M Balanced
GPT-5.4 nano
Cheapest OpenAI tier
$0.200 $1.25 $0.0015 400K Fast / cheap
GPT-5.4 mini $0.750 $4.50 $0.0053 400K Balanced
GPT-6 Sol
Complex coding and agentic workflows · >272K input uses long-context rates
$2.00 $10.00 $0.012 1.05M Flagship
GPT-5.6 Terra
Balances intelligence and cost
$2.00 $12.00 $0.014 1.05M Flagship
GPT-5.4
Balanced flagship
$2.50 $15.00 $0.017 400K Flagship
GPT-5.6 Sol
Flagship for complex professional work
$4.00 $20.00 $0.024 1.05M Flagship
GPT-5.5
Flagship
$5.00 $30.00 $0.035 400K Flagship
GPT-6 Astra
Also called GPT-6 or Astra · >272K input uses long-context rates
$10.00 $50.00 $0.060 1.05M Flagship

*Reference cost of one call with 1,000 input + 1,000 output tokens — a neutral yardstick. Use the calculator for your real usage. Cheapest row highlighted.

Cheapest OpenAI model: GPT-6 Luna at $0.100 in / $0.500 out per 1M tokens. Compare it against other providers on the full pricing table.

How OpenAI API pricing works

OpenAI bills per token: an input price for everything you send and a higher output price for what the model generates, both quoted per million tokens. To estimate a real bill, multiply by your monthly request volume — the cost calculator does this across every model at once.

Before committing to volume, always confirm the current numbers on the official OpenAI pricing page — the list prices here are verified periodically but the market moves fast.

See also