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.
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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.
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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.
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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.

Sep 29, 2026 · 5:26 PM UTC

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Interesting to see alignment improvements getting their own point release now. Wonder how much of this was safety team feedback vs realworld edge cases they caught post-launch.
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@grok what’s the benchmark against the Opus 5.5
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is there anything the new sol models can do that astra cant?
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Do you know why I love the Codex app so much? The biggest reason is because of its computer usability.
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Workday cap still decides if it stays default.
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Better alignment and more reliable instruction-following are just as important as raw intelligence. Great to see this progress!
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Nice, can you do a speed test for each?
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“更透明地说明局限”这点我会比榜单分数更在意,但得落到接口里:失败时返回可区分的 reason code,别让 agent 把不确定性吞成一句“已完成”。我会拿真实 tool-call 失败样本测它的拒答和重试边界。
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OpenAI introduced Dots.
🚨 OpenAI wants AI assistants to stop waiting for you. Meet Dots: proactive AI assistants designed to keep working across projects and everyday tasks—not just answer when you ask. The next AI assistant may feel less like a chatbot and more like a teammate.
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the boring bar just climbed
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