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GPT-6.1 Sol brings near-Astra capability at about a fifth of the price

Source
OpenAI
Date
OpenAI@OpenAI
Thread · 5 parts

GPT-6.1 Sol: near-Astra intelligence for a fifth of the price. It’s the most cost-efficient model for its performance available today.

GPT-6.1 Sol makes frontier intelligence more affordable, so you can use it for more of the work that matters and developers can build and run applications at scale. Cached input costs just $0.10 per million tokens—95% less than standard input pricing and 50% less than GPT-6 Sol’s cached input pricing.

GPT-6.1 Sol is a significant upgrade over GPT-6 Sol across coding, computer use, and complex professional work—approaching GPT-6 Astra on several benchmarks at substantially lower cost.

GPT-6.1 Sol shows major improvements over GPT-6 Sol in our alignment evaluations, bringing it more in line with GPT-6 Astra. It’s more transparent about its limitations and more reliable at respecting user intent and safety constraints.

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Terms in this piece · Glossary
  • token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
Why it matters

Near-Astra coding and computer-use performance at roughly a fifth of the price, with cheap cached input, lowers the cost of running agents at scale. It is available in Codex today.

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