OpenAI introduced GPT-6 Sol and GPT-6 Luna, faster and more affordable models that carry forward much of GPT-6 Astra’s strength for work at scale. Caching and inference efficiency cuts yield 50% lower API prices versus GPT-5.6 promotional pricing: Sol is priced at $2/$10 per million tokens for deep reasoning, while high-volume Luna costs just $0.10/$0.50 per million tokens with a 90% prompt caching discount.
Key Takeaways
- ✓Tiered dual-model architecture: Sol for deep reasoning and complex coding agents, Luna for ultra-high-throughput workflows.
- ✓50% price slash: Sol at $2/$10 per million tokens; Luna down to $0.10/$0.50 with 90% prompt caching discount.
- ✓Available immediately in OpenAI API (
gpt-6-sol,gpt-6-luna), ChatGPT Work, and Codex.

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Project Links & Resources
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Architectural
Overview & Industrial Strategy Following the flagship GPT-6 Astra release, OpenAI addresses enterprise inference economics with GPT-6 Sol and Luna.
Dual
Models
- GPT-6 Sol: Optimized for multi-step agentic workflows and software development ($2/$10 per million tokens);
- GPT-6 Luna: High-speed, high-throughput utility model priced at $0.10/$0.50 per million tokens with a 90% discount on cached reads.
Availability
Both models are accessible via API (gpt-6-sol, gpt-6-luna) and across ChatGPT Work suites.
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