MODEL INTELLIGENCE

GPT-6 Sol
reference & signals.

GPT-6 Sol reference: pricing, context window, API specifications, model family details and the latest primary-source updates tracked by SXF / AI.

1tracked signals
1primary sources
September 22, 2026latest tracked

MODEL REFERENCE

GPT-6 Sol at a glance.

Complex coding and agentic workflows. OpenAI lists a 1,050,000-token context window, up to 128,000 output tokens and a Apr 20, 2026 knowledge cutoff.

Released Sep 22, 2026 · Text and image input · text output · Last verified 2026-09-26

MODEL IDgpt-6-sol
CONTEXT WINDOW1,050,000tokens
MAX OUTPUT128,000tokens
KNOWLEDGE CUTOFFApr 20, 2026
STANDARD INPUT$2.00/ 1M tokens
STANDARD OUTPUT$10.00/ 1M tokens

FAMILY COMPARISON

Astra, Sol and Luna.

Full decision guide ↗
ModelPositioningContextMax outputInputCachedOutput
GPT-6 Astragpt-6-astra Highest capability1,050,000128,000 $10.00$1.00$50.00
GPT-6 Solgpt-6-sol Capability / cost balance1,050,000128,000 $2.00$0.20$10.00
GPT-6 Lunagpt-6-luna Efficiency1,050,000128,000 $0.10$0.01$0.50

Standard API pricing per 1M text tokens for prompts up to 272K input tokens. Longer prompts use higher rates.

QUICK ANSWERS

What models are in the GPT-6 family?

OpenAI currently lists GPT-6 Astra, GPT-6 Sol and GPT-6 Luna as the flagship GPT-6 family.

What is the GPT-6 context window?

Astra, Sol and Luna each have a 1,050,000-token context window and support up to 128,000 output tokens.

How much does GPT-6 cost in the API?

For Standard API requests up to 272K input tokens, Astra is $10 input / $50 output per 1M tokens, Sol is $2 / $10, and Luna is $0.10 / $0.50. Cached-input rates are lower.

What is each GPT-6 model for?

OpenAI positions Astra for the hardest end-to-end work, Sol for complex coding and agentic workflows, and Luna for efficient high-volume tasks.

LATEST DEVELOPMENT

Introducing GPT-6 Sol and Luna

Meet GPT-6 Sol and Luna, two models that bring frontier intelligence to everyday work with different balances of capability and cost.

Open latest signal ↗