How much do Mistral Medium 3.5 cost per month?

For an example workload of 20 million input tokens and 5 million output tokens per month: Mistral Medium 3.5: $68. These are token-only estimates using the displayed rates, without caching discounts, additional tool charges or taxes. Actual bills depend on usage and endpoint pricing.

Which has a larger context window: Mistral Medium 3.5?

Mistral Medium 3.5: 262K tokens of context; maximum output 210K tokens. Context capacity and maximum output are separate limits. A larger context window allows more material in a request but does not guarantee more accurate answers.

Which is better for coding: Mistral Medium 3.5?

Mistral Medium 3.5: Artificial Analysis SciCode 40.2%. Compare coding results within the same evaluation, then test representative tasks from your own codebase. A missing score is not a zero, and a single benchmark does not establish the best model for every programming task.

How do Arena Elo, DesignArena, Intelligence Index and MMLU-Pro differ?

These evaluations measure different tasks and use different scales. Arena Elo and DesignArena ratings must remain separate, as must Artificial Analysis Intelligence Index and MMLU-Pro. Compare models within the same evaluation rather than combining scores. Missing results are marked Not listed, not treated as measured zeroes.

Which responds faster: Mistral Medium 3.5?

Mistral Medium 3.5: Artificial Analysis output speed 166 tokens/s; time to first token 2.21 seconds. Output speed measures generation throughput, while time to first token measures the initial wait. Real-world latency also depends on the API provider, request size and load; missing measurements cannot establish a speed winner.

Do Mistral Medium 3.5 support images, audio or video?

Mistral Medium 3.5: listed input formats: text, image, file; output formats: text. Input and output support are different capabilities: accepting an image does not mean a model generates images. Confirm formats and file limits for the endpoint you plan to use.

Do Mistral Medium 3.5 support tool calling and structured outputs?

Mistral Medium 3.5: listed features: Function calling, Structured outputs, JSON mode, Reasoning, Deterministic seed. Only recorded capabilities are shown; an unlisted feature is not proof that it is unsupported. Availability can vary by API provider, so confirm tool calling and JSON schema support for your chosen endpoint.

Can prompt caching reduce the cost of Mistral Medium 3.5?

Mistral Medium 3.5: cached input price not listed. Caching may reduce charges for eligible repeated input when supported by the endpoint. A listed cached rate does not guarantee every request qualifies; cache duration, minimum token counts and any write charges depend on the provider.

Are Mistral Medium 3.5 available through an API?

Mistral Medium 3.5: catalog status active; API identifier mistral-medium-3-5; listed API hosts not listed. Catalog status is not a live availability check. Before integrating, verify the provider's documentation, endpoint access, rate limits, regional availability and data-handling terms.

Models, measured side by side

Mistral Medium 3.5 compared to other AI models

Compare Mistral Medium 3.5 by token pricing, context length, benchmark results, speed and tool support.

Leading intelligence

Best for coding

Most affordable

Vision models

Comparison FAQ

Mistral Medium 3.5: $1.50 input and $7.50 output per million tokens. The cheaper choice depends on your input-to-output ratio; a model can have a lower input rate but a higher output rate.

Popular model comparisons

Claude Sonnet 4 vs GPT-4.1 DeepSeek V3 vs Gemini 2.5 Flash DeepSeek V3 vs GPT-4o mini DeepSeek R1 vs Gemini 2.5 Pro Mistral Large vs GPT-4o Gemini 2.5 Pro vs Claude Sonnet 4 Gemini 2.5 Pro vs GPT-4.1 Gemini 2.5 Flash vs GPT-4o mini