Magistral Medium

Magistral Medium occupies the middle ground in the Magistral family, offering more depth and accuracy than Magistral Small while maintaining lower latency and cost compared to flagship large models. It’s instruction-tuned for precise, controllable responses and excels at step-by-step reasoning, document analysis, and code generation across multiple languages. With long-context support, it can process multi-document prompts, extended conversations, and repo-level coding tasks without losing coherence.

The model integrates cleanly into production pipelines, providing structured outputs such as JSON or patches and supporting function/tool calling for agent frameworks. Its balance of size and efficiency makes it ideal for enterprise copilots, knowledge assistants, and developer helpers where responsiveness and accuracy both matter. Teams often use Magistral Medium as the “default” deployment model—scaling up to larger Magistral variants for highly complex reasoning, or down to Small when cost or throughput is the main concern.