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How good is Opus 4.7 at long running computer use tasks?

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AshutoshShrivastava

80,759 subscribers

10,535 次观看 • 3 个月前 •via X (Twitter)

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$GOOGL launched Gemini 3.5 Flash which it says beats Gemini 3.1 Pro across coding, real-world agentic tasks & scaled tool use. Artificial Analysis shows it running at 289 output tokens/sec which is more than 4x faster than Claude Opus 4.7 & GPT-5.5.
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$GOOGL launched Gemini 3.5 Flash which it says beats Gemini 3.1 Pro across coding, real-world agentic tasks & scaled tool use. Artificial Analysis shows it running at 289 output tokens/sec which is more than 4x faster than Claude Opus 4.7 & GPT-5.5.

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OSWorld2.0 Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks
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MiniMax M2.1 vs Opus 4.5 vs GLM-4.7 built an interactive 3D solar system from scratch. Running on 3 Claude Code in parallel. The winner is: 🥇 GLM-4.7! 🥈 Opus 4.5 (slowest) 🥉 M2.1 (fastest) GLM-4.7 design capabilities are another level vs 4.6!

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Opus 4.7 made this educational video for how Claudes are made

w̸͕͂͂a̷͔̗͐t̴̙͗e̵̬̔̕r̴̰̓̊m̵͙͖̓̽a̵̢̗̓͒r̸̲̽ķ̷͔́͝

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Opus 4.7 appears to be SOTA at agentic CAD design
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Opus 4.8 just dropped and I ran it through our CAD tasks. 4.6 → 4.7 → 4.8 side by side. The results are unexpected!
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Computer use agents are slow and brittle. The fix isn’t just stronger models, but also deploying them as multi-agent systems. MACU is a general Multi-Agent Computer Use framework that consistently lifts success rates by 3.4-25.5% and is up to 1.5x faster on long-horizon tasks.🧵

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