Source · docs
OpenAI API models and pricing: GPT-6 family
Summary
OpenAI's API pricing page and models page (https://developers.openai.com/api/docs/models), read on 2026-10-06, give prices, context windows, and knowledge cutoffs for the GPT-6 family. All models have a 1.05M-token context window and 128K output. Inputs above 272K tokens are charged at long-context rates.
Key points
- Standard prices per 1M tokens (input / cached input / output), up to 272K input tokens:
- GPT-6 Astra (
gpt-6-astra): $10 / $1.00 / $50. - GPT-6.1 Sol (
gpt-6.1-sol): $2 / $0.10 / $10. - GPT-6 Sol: $2 / $0.20 / $10.
- GPT-6 Luna (
gpt-6-luna): $0.10 / $0.01 / $0.50.
- GPT-6 Astra (
- Above 272K input tokens, input and cached input cost 2x and output costs 1.5x.
- Context window 1.05M tokens and max output 128K for Astra, 6.1 Sol, and Luna.
- Knowledge cutoff: Astra and 6.1 Sol 2026-04-30; Luna 2026-05-18.
- The models page lists GPT-6.1 Sol (not GPT-6 Sol) as the current Sol model. All three support function calling, web search, file search, and computer use.
Why it matters
Gives a comparable, dated price table for OpenAI's current models. The long-context surcharge means the 1M window costs more per token once a prompt passes 272K.