Claude Opus 4.8 says it's the only model that finished every case on the Super-Agent benchmark. Anyone run it on real agents yet?

Reddit r/AI_Agents 05/29/26, 01:24 PM Models

claude opus-4-8 anthropic agent-benchmark tool-efficiency super-agent model-release

Summary

Anthropic released Claude Opus 4.8, claiming it is the only model to complete every case on the Super-Agent benchmark and that it outperforms GPT-5.5 on browser/computer use tasks with better tool efficiency and fewer uncorrected code flaws.

Anthropic dropped Opus 4.8 and the agent claims are bolder than usual: Only model to complete every case end-to-end on the Super-Agent benchmark and they say it beats GPT-5.5 at cost parity 84% on Online-Mind2Web for browser/computer use, a real jump over 4.7 and GPT-5.5 Tool calling uses fewer steps for the same result \~4x less likely to let code flaws pass unremarked The browser-use and tool-efficiency numbers are the ones that matter for actual agents. But benchmark wins and production behavior are different animals a model that aces Super-Agent can still fall apart on your specific tool stack, your retrieval, your edge cases. For anyone who's already swapped 4.7 → 4.8 in an agent: did the tool-efficiency gain actually show up in your runs? And did "flags uncertainty more" cut the confident-wrong failures, or just make it more cautious?

Original Article

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