Claude Opus 4.6's effort=low parameter differs from other providers' low-reasoning modes

Claude Opus 4.6's effort parameter behaves differently than similar settings from other AI providers. While OpenAI's reasoning.effort=low and Gemini's thinking_level=low primarily control reasoning depth, Anthropic's effort=low parameter controls general behavioral effort.
Key differences in behavior
When set to effort=low, Claude Opus 4.6 exhibited several specific behaviors that differed from expectations:
- Made fewer tool calls than expected
- Was less thorough in cross-referencing information
- Effectively ignored parts of system prompts instructing it how to do web research
- Agents returned confidently wrong answers because they stopped looking for information
These issues were resolved by bumping the parameter to effort=medium. The behavior is documented by Anthropic, confirming it's not a bug but an intentional design choice.
Practical implications
This means developers cannot treat Anthropic's effort parameter as a drop-in replacement for OpenAI's reasoning.effort or Gemini's thinking_level when working across multiple AI providers. The source material raises the question of whether reasoning and behavioral effort should be separate controls or bundled together as Anthropic has implemented.
The original post includes trace examples and full details available at https://everyrow.io/blog/claude-effort-parameter.
📖 Read the full source: r/ClaudeAI
👀 See Also

Claude Code allegedly refuses requests or charges extra when commits mention 'OpenClaw'
A tweet by Theo claims Claude Code either refuses requests or charges extra if your git commits mention 'OpenClaw', sparking discussion on HN.

Claude Code v2.1.147: Pinned Sessions, /code-review, and Dozens of Fixes
Claude Code v2.1.147 introduces pinned background sessions, renames /simplify to /code-review with effort levels and --comment, plus fixes for PowerShell, MCP, Windows, and more.

Three Critical Gaps in OpenClaw for Production AI Agents
A developer identifies three missing capabilities in OpenClaw that prevent AI agents from functioning as true employees: auditability, granular action control, and instruction resolution.

Microsoft Copilot injects ads into GitHub and GitLab pull requests
Microsoft Copilot has reportedly injected ads into 1.5 million GitHub pull requests and also affects GitLab. The ads appear within pull request descriptions generated by the AI coding assistant.