OpenAI Releases GPT-6 Sol and Luna: 50% Cheaper API Pricing and Benchmarks
OpenAI has released GPT-6 Sol and GPT-6 Luna, two new models in its GPT-6 family. They sit below GPT-6 Astra, which launched earlier this month. OpenAI trained both with methods similar to Astra's, aiming to bring Astra's advances to faster, more affordable models.
Deployable today? Yes. Both models are live in the OpenAI API as gpt-6-sol and gpt-6-luna. They are API-only models, so there are no weights to self-host.
Three Tiers, One Recipe
The GPT-6 family now has three tiers. Astra is the top model for the hardest work. Sol targets complex coding and professional tasks at lower cost. Luna targets fast, high-volume everyday work.
The OpenAI team states that better caching and inference let it serve these models more cheaply. It is cutting Sol and Luna API prices by 50% against their GPT-5.6 promotional pricing.
| Model | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|
| GPT-6 Astra | $10.00 | $50.00 |
| GPT-6 Sol | $2.00 (was $4) | $10.00 (was $20) |
| GPT-6 Luna | $0.10 (was $0.20) | $0.50 (was $1.20) |
One detail is worth noting. Luna's output price falls from $1.20 to $0.50, a cut of about 58%, not 50%.
Benchmarks: What OpenAI Reports
Professional work: On AutomationBench 1.0.6, Sol at xhigh effort scores 33.2% at $0.27 per task. Claude Opus 5 at max effort scores 26.9% at 11.1x that cost. Low-effort Astra scores 30.3% at 3.9x Sol's cost. Luna at high effort gains 5.4 points over its predecessor at 58% lower cost per task.
On Agents' Last Exam, Sol at max effort scores 56.4%. That beats Claude Opus 5's best score at 60% lower cost per task.
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via MarkTechPost