Command A+

Set max_tokens on command-a-plus-05-2026 to the longest response your task actually needs, not the 64,000-token ceiling. Keeping the cap tight reduces worst-case spend and shortens tail latency. Raise it only for tasks that demonstrably need longer output.

Before switching production traffic to command-a-plus-05-2026, run a pilot on a representative slice of your traffic and check output quality, latency at peak concurrency, and cost per request. Verify the error and retry behaviour, and confirm the request limits you depend on match your plan.

Recorded results for command-a-plus-05-2026: aa_intelligence_index 18.5. Benchmark positions are a coarse filter only — run your own prompts against the candidate models before you commit, because ranking shifts with task shape and prompt style.

command-a-plus-05-2026 sits alongside grok-code-fast-1, grok-3, deepseek-v3.2-speciale in the catalog. Compare them on the dimensions that change your bill and your users’ experience: task quality on your own prompts, latency at your concurrency, context and output limits, and cost per completed task rather than per token.

command-a-plus-05-2026 is a reasoning model. Reasoning effort can be tuned per request. Lower effort settings cut reasoning tokens and cost for routine work; reserve higher settings for problems that need deeper search. Measure quality at two or three settings before fixing one in production.

Yes. command-a-plus-05-2026 is reachable through an OpenAI-compatible endpoint, so an existing OpenAI SDK client works after pointing the base URL at MixRoute and setting the model parameter to command-a-plus-05-2026. Keep your current request and response handling.