Claude Opus 5

Use the model ID claude-opus-5 through the compatible chat completions endpoint. Check the current API documentation for the exact endpoint path and any required headers.

Yes. Claude Opus 5 is served through a compatible endpoint. You can continue using your existing SDK by changing the base URL and model ID. Test your integration before switching production traffic.

Test your agentic coding workflows including tool use, visual analysis, and multi-step tasks. The model supports different reasoning effort settings—test at the level that matches your latency and cost requirements.

To get a cache hit on claude-opus-5, send requests with identical prompt prefixes. The cache is keyed by the beginning of your prompt; as long as the prefix matches a previous request, subsequent calls benefit from the lower cached rate. Keep system messages and initial context consistent across calls for best results.

Claude Opus 5 maintains strong instruction following and tool use across extended tasks. Confirm the current capabilities in the model documentation and test with your specific tool definitions before production use.

For claude-opus-5, set the max_tokens or max_completion_tokens parameter to control spending per call. Start with a budget aligned to your typical response length and increase only when longer outputs are genuinely needed. Monitor token usage in the API response headers to tune your budget over time.

Compare claude-opus-5 against models of similar capability and pricing on your actual workload. Evaluate latency, output quality, instruction following, and cost per task. Run side-by-side tests with your own prompts — the best model depends on your specific use case, not just benchmark scores.