Introducing GPT-6 Sol and GPT-6 Luna
OpenAI has launched GPT-6 Sol and GPT-6 Luna, two cost-optimized models that extend the GPT-6 family below the flagship GPT-6 Astra. Both models are priced 50% below their GPT-5.6 predecessors, with Sol at $2 input/$10 output and Luna at…
- 01On key benchmarks, GPT-6 Sol outperforms Claude Opus 5 on business automation tasks at roughly 9% of the cost, and matches Claude Fable 5.1 on software engineering at approximately 80% lower cost per task.
- 02GPT-6 Luna achieves comparable coding performance to Claude Opus 5 and Fable 5 at medium effort while costing 93-96% less.
- 03OpenAI also improved prompt caching to deliver 90% discounts on cached input tokens, further reducing costs for agents and long-context applications.
OpenAI has launched GPT-6 Sol and GPT-6 Luna, two cost-optimized models that extend the GPT-6 family below the flagship GPT-6 Astra. Both models are priced 50% below their GPT-5.6 predecessors, with Sol at $2 input/$10 output and Luna at $0.10 input/$0.50 output per million tokens. On key benchmarks, GPT-6 Sol outperforms Claude Opus 5 on business automation tasks at roughly 9% of the cost, and matches Claude Fable 5.1 on software engineering at approximately 80% lower cost per task.
Read the full article at openai.comOpenAI has launched GPT-6 Sol and GPT-6 Luna, two cost-optimized models that extend the GPT-6 family below the flagship GPT-6 Astra. Both models are priced 50% below their GPT-5.6 predecessors, with Sol at $2 input/$10 output and Luna at $0.10 input/$0.50 output per million tokens. On key benchmarks, GPT-6 Sol outperforms Claude Opus 5 on business automation tasks at roughly 9% of the cost, and matches Claude Fable 5.1 on software engineering at approximately 80% lower cost per task. GPT-6 Luna achieves comparable coding performance to Claude Opus 5 and Fable 5 at medium effort while costing 93-96% less. OpenAI also improved prompt caching to deliver 90% discounts on cached input tokens, further reducing costs for agents and long-context applications.
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