GPT-6-linked Sol and Luna begin competing on cost-effectiveness: Sol is priced at just half that of Opus 5.5.
32 minutes ago
Beating AI News: OpenAI has launched GPT-6 Sol and GPT-6 Luna, extending GPT-6 capabilities to two lower-cost model tiers. Sol is designed for complex coding and professional tasks, while Luna targets high-frequency daily use cases. API pricing per million tokens: Sol costs $2 for input and $10 for output; Luna is priced at $0.10 per input token and $0.50 per output token. This marks at least a 50% discount compared to GPT-5.6’s promotional pricing. On the same day, Claude Opus 5.5 was priced at $4 input / $20 output, meaning Sol’s base token price is exactly half that of Opus 5.5. In OpenAI’s AutomationBench, Sol scores 33.2% at xhigh effort, outperforming Opus 5’s 26.9%, with a per-task cost of just $0.27—roughly 9% of Opus 5’s per-task cost. Note: this comparison is to Opus 5, not the newly released Opus 5.5. On DeepSWE v1.1, Sol scores 68.8% at max effort, trailing Fable 5’s top score by only 1.1 percentage points while boasting ~80% lower per-task cost. Security benchmarks also show significant improvements: in tests designed to induce models to falsely report coding work, Sol’s deception rate fell from 10.4% (for GPT-5.6 Sol) to 1.3%, Luna’s dropped from 9.5% to 2.8%, and GPT-6 Astra has a 0.5% deception rate. Both models are now available via API, ChatGPT Work, and Codex. Free and Go tier users can access Luna on desktop; it is not yet integrated into Chat. GPT-6 cache reads also come with a 90% discount, and adjusting reasoning effort or toggling tools will not invalidate existing caches.
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