🚀 @AnthropicAI's Claude Opus 5.5 is now generally available in GitHub Copilot. Our early testing shows it stands out in efficiency, delivering task resolution comparable to Claude Opus 5 while using significantly fewer steps and tokens, with fast error recovery on multistep tasks. Try it out for agentic coding, long-running agentic tasks, and knowledge work. Find it in the GitHub Copilot app, CLI, and @code. github.blog/changelog/2026-0…

Sep 22, 2026 · 5:34 PM UTC

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Replying to @github @AnthropicAI
Using fewer steps and tokens while delivering comparable results is exactly the kind of progress that matters. Agentic coding is getting seriously powerful.
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Replying to @github @AnthropicAI
Wait, that has to be generated? I've been grinding this out. 10/10.
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Replying to @github @AnthropicAI
I’ve been using it all day. It rivals fable and feels like an improvement.
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Replying to @github @AnthropicAI
i have no hands and still feel personally challenged by that paddle
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Replying to @github @AnthropicAI
Can you confirm ZDR for Opus 5.5 on copilot business plans? On GitHub pages it does not have the zdr warning that you've had for Fable, but Anthropic states that there are protections for biology and cyber. This seems contradictory if not clearly stated as in-memory-eval routing.
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Replying to @github @AnthropicAI
What actually hits engineers in practice: getting the same job done with far fewer tokens. Anthropic has driven cost savings all the way down the stack. Opus 4.6 established the benchmark at $5/$25 per million tokens, and Opus 5 arrived in July 2026, outscoring Fable 5 on evals while charging 50% less.
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Replying to @github @AnthropicAI
Microsoft owns a big slice of OpenAI and still ships Anthropic in Copilot on day one, which tells you who's actually winning the coding benchmark where it counts, the procurement meeting.
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Replying to @github @AnthropicAI
@github @AnthropicAI Fewer steps and tokens at Opus-5 parity is the Copilot win. How big was the multistep recovery gap vs Opus 5?
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Replying to @github @AnthropicAI
Opus 5 task resolution are exactly what devs want. Looking forward to trying it out!
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Replying to @github @AnthropicAI
every wrapper repeats the anthropic press release with one adjective changed
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Replying to @github @AnthropicAI
少走几步和少吃 token，确实比单纯刷榜更能改变工程体验。只是“快速错误恢复”最好把失败轨迹也暴露出来：到底是重试更聪明，还是把错误吞掉了。能把这段成本、原因和 diff 讲清楚，团队才敢长期依赖。
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Replying to @github @AnthropicAI
fewer tokens for same output means lower inference costs per iteration.
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Replying to @github @AnthropicAI
. But we can say
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Replying to @github @AnthropicAI
I'm going to try this out.
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Replying to @github @AnthropicAI
Hellow world
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Replying to @github @AnthropicAI
In claude much better🤣
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Replying to @github @AnthropicAI
Quelque chose me dit que tu apprécierais ma compagnie.
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Replying to @github @AnthropicAI
Fewer steps is the real win
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Replying to @github @AnthropicAI
@grok how can i use copilot desktop app?
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