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OpenAI releases GPT-6 Sol and Luna for coding and high-volume agents

OpenAI released GPT-6 Sol and Luna for complex coding and cost-sensitive, high-volume work. Both support multimodal inputs and long context through the API and surfaces including Codex. A subsequent image-encoding fix warrants revisiting earlier visual evaluations.

Availability: API, ChatGPT Work and Codex on eligible paid plans

What this means for you

Compare task-level cost and reliability before routing workloads. Revisit failed image-input cases before changing adoption decisions.

Evidence & related material

Background · Historical record, not rechecked

OpenAI released GPT-6 Sol for complex coding and agent workflows and GPT-6 Luna for high-volume, cost-sensitive work. Both expose a 1.05M-token context window, 128K maximum output, multimodal input, built-in tools and reasoning levels from none through max. Standard short-context prices are $2/$10 per million input/output tokens for Sol and $0.10/$0.50 for Luna. Both are available through the API and supported paid-plan surfaces including Codex.

Subsequent changes

Update · 2026-09-25

OpenAI documented a GPT-6 Sol/Luna image-encoding fix on September 25. Recheck image-input evaluations that may have been affected.

Update · 2026-10-07

GPT-6 brings native interactive UI and progressive follow-up reasoning to ChatGPT.

Technical details & scores
Models gpt-6-sol and gpt-6-luna
Context 1.05M tokens; 128K maximum output
Standard Pricing Sol $2 input / $10 output; Luna $0.10 input / $0.50 output per 1M tokens
Capabilities multimodal input, built-in tools, reasoning effort none through max
Availability API, ChatGPT Work and Codex on eligible paid plans
Safety OpenAI classifies both High but below Critical for cyber and bio/chemical capability
Image Encoding Fix Official changelog dated September 25; no improvement magnitude reported.
Technical impact 4
Engineering value 5
Adoption signal 4
Maturity 4
Verification cost 3
Risk 3