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Optimize Claude Opus 5 Performance via Effort Level Steering

Scale reasoning depth using the effort parameter for critical tasks.

Steer Claude Opus 5's reasoning capabilities by selecting an explicit effort level, using 'max' for high-stakes, capability-critical work.

Claude

The Scenario

You are using Claude Opus 5 for a highly complex coding architecture task or a deep strategic analysis where the depth of 'thinking' is more important than speed.

Before & after

The old way

Users often relied on "Chain of Thought" prompting or repeating instructions to get better results, which could take 5–10 minutes of prompt engineering.

With AI

Use the `effort` parameter (low to max) to tell the model exactly how much processing power to dedicate to the task. Total time: 10 seconds.

The Prompt

// Set the reasoning effort for Claude Opus 5
client.messages.create({
  model: "claude-opus-5",
  max_tokens: 4096,
  messages: [{"role": "user", "content": "[PASTE_COMPLEX_PROBLEM_HERE]"}],
  thinking: { "type": "enabled", "effort": "max" }
});

Claude Opus 5 introduces an 'effort' control ladder (low, medium, high, xhigh, max). Selecting 'max' is essential for capability-critical work where reasoning depth is paramount.

Source

Claude Platform release notes - Claude Platform Docs
"Effort is the primary control for steering Claude Opus 5: the model supports the full ladder (low, medium, high, xhigh, max)."