OpenAI 给出 Astra 与 GPT-6.1 Sol 的选用建议
官方说追求极致质量选 Astra，要高频跑复杂任务则用更便宜的 GPT-6.1 Sol，后者已在 ChatGPT Work、Codex 和 API 上线。
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.
这条是引用着另一条写的：x.com/4398626122/status/2104986129686741046
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.
