OpenAI: pick Astra for top quality, GPT-6.1 Sol for frequent complex work
OpenAI says Astra is the choice when maximizing quality matters most, while the cheaper GPT-6.1 Sol offers near-Astra performance for complex work run more often, and is now available in ChatGPT Work, Codex and the API.
For your most demanding work, choose Astra when maximizing quality matters most. For complex work you want to run more often, GPT-6.1 Sol gives you near-Astra performance at a substantially lower cost. GPT-6.1 Sol is available today in ChatGPT Work, Codex, and in the API.
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API pricing is $2 per million input tokens and $10 per million output tokens. Cached input is just $0.10 per million tokens—95% less than standard input pricing and 50% less than GPT‑6 Sol’s cached input pricing. Near-Astra performance for sustained, multi-step workloads.
GPT-6.1 Sol is here. Upgraded with stronger agentic coding and computer use, near-Astra performance, and cached input at a 95% discount to standard input pricing. GPT-6.1 Sol is built for complex refactors, deep codebase investigations, and long-running agents across apps.
On deliberately difficult factuality prompts, GPT-6.1 Sol reduces responses containing factual errors by about 32% versus GPT-6 Sol at low reasoning effort. In our automated safety review evaluation, we observed no attempts to bypass the safety reviewer.
On AutomationBench, GPT-6.1 Sol scores 31.7% at medium reasoning effort, up 4.8 percentage points from GPT-6 Sol at the same setting. On OSWorld 2.0’s offline set, it scores 71.4% versus Astra’s 73.5%, both at maximum reasoning effort, at roughly one-seventh of Astra’s cost per task.
On DeepSWE v1.1, GPT-6.1 Sol achieves 75.2% at high reasoning effort, surpassing GPT-6 Sol’s best score of 68.8% at maximum effort, at approximately 76% lower cost per task.
