mistral-medium-2604

mistral-medium-2604 is a advanced-tier language model from RouterPlus. mistral-medium-2604 is a proprietary model available exclusively through RouterPlus's API. Mistral's model family is known for strong performance per parameter, with the 7B model punching well above its weight class and the Mixtral MoE variants delivering near-frontier quality at efficient inference cost.

mistral-medium-2604 is priced at $1.5/1M input tokens and $7.5/1M output tokens. Output tokens are 5× more expensive than input tokens — this ratio reflects the sequential nature of autoregressive generation, which requires a separate forward pass per output token versus parallel processing of all input tokens simultaneously. At a typical usage pattern of 1,000 input tokens and 500 output tokens per call, mistral-medium-2604 costs approximately $5.25 per 1,000 API calls. Prompt caching reduces repeated input tokens to $0.15/1M — a 90% discount that compounds significantly for applications with long shared system prompts, multi-turn conversations, or document Q&A where the same context is reused across many queries.

Its 262K-token context window is in the top tier for production models, enabling full-document analysis, long multi-turn conversations, and large codebase understanding without chunking.

mistral-medium-2604 is best suited to general language tasks. Supported capabilities include function calling / tool use for agentic workflows, streaming token output for real-time UIs. Function calling support makes it suitable for building AI agents, structured data extraction pipelines, and any workflow requiring the model to invoke external APIs or return typed JSON. When evaluating this model for a specific workload, the most important factors are: context window (does your input fit?), output price (how long are your generations?), and latency (is this interactive or batch?). The pricing table above shows how mistral-medium-2604 compares to similar models across these dimensions.

mistral-medium-2604 sits in the advanced tier — strong general-purpose models balancing capability and cost, suitable for most production applications. Unlike open-weights alternatives, mistral-medium-2604 is only available via RouterPlus's API — there is no self-hosted option, which simplifies deployment but creates vendor dependency. When comparing mistral-medium-2604 to alternatives, use the similar models section on this page to find models at comparable price points with different capability tradeoffs. The intelligence score (N/A/100) reflects aggregate benchmark performance — a useful proxy for general capability, though real-world performance varies significantly by task type. Always test with your specific prompts and use case before committing to a model for production.