Claude Opus 4.6 effort=low parameter causes lazy agent behavior

✍️ OpenClawRadar📅 Published: March 12, 2026🔗 Source
Claude Opus 4.6 effort=low parameter causes lazy agent behavior
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Claude Opus 4.6's effort parameter behaves differently than similar settings from other AI providers, causing unexpected agent behavior when set to low.

Key Findings

Testing revealed that with effort=low, Claude Opus 4.6 exhibited significantly lazier behavior than expected:

  • Made fewer tool calls
  • Was less thorough in cross-referencing
  • Effectively ignored parts of system prompts instructing how to do web research
  • Confidently returned wrong answers because it stopped looking for information

The source notes that bumping to effort=medium fixed all these issues. According to the documentation, Anthropic's effort parameter controls general behavioral effort, not just reasoning depth like OpenAI's reasoning.effort=low or Gemini's thinking_level=low.

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Important Distinction

This isn't a bug but a documented difference in implementation. The effort parameter in Claude Opus 4.6 has broader scope than equivalent parameters from other providers. This means you can't treat effort as a drop-in replacement for reasoning.effort or thinking_level when working across different AI providers.

The testing was conducted with the expectation that effort=low would behave similarly to other providers' low-effort settings, but the actual behavior was more extreme, leading to agents that were not just thinking less but acting lazier overall.

📖 Read the full source: r/LocalLLaMA

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👀 See Also