Mistral Medium 3.5

Models

Model details

Model
mistral-medium-3.5
Provider
mistral
API
mistral-conversations
Base URL
https://api.mistral.ai
Input
text, image
Reasoning
Yes
Context window
262,144
Max tokens
262,144
Show configuration
{
  "providers": {
    "mistral": {
      "apiKey": "YOUR_API_KEY",
      "models": [
        {
          "id": "mistral-medium-3.5",
          "name": "Mistral Medium 3.5",
          "reasoning": true,
          "input": [
            "text",
            "image"
          ],
          "thinkingLevelMap": {
            "off": "none",
            "minimal": null,
            "low": null,
            "medium": null,
            "high": "high",
            "xhigh": null,
            "max": null
          },
          "contextWindow": 262144,
          "maxTokens": 262144,
          "cost": {
            "input": 1.5,
            "output": 7.5,
            "cacheRead": 0,
            "cacheWrite": 0
          }
        }
      ],
      "api": "mistral-conversations",
      "baseUrl": "https://api.mistral.ai"
    }
  }
}

Pricing

USD per million tokens. A tier is selected from the total input tokens in each request and applies to that entire request.

Pricing rates for Mistral Medium 3.5
Request inputInputOutputCache readCache write
All requests$1.5$7.5$0$0

Session cost calculator

Estimate the requests made during an agent session. A user turn can make several model calls while using tools, so costs are calculated per model request.

Session shape
Rounded median shapes from recent Pi agent sessions.
Warm-request cache reuse
Effective token reuse combines partial hits and occasional complete misses.
Estimated session$0.00
Uncached input
—
Cache reads
—
Uncached prefixes
—
Cache writes
—
Output
—
Without caching
—

The first request starts cold unless marked otherwise. Output is billed separately from context growth because reasoning tokens are not always retained. This remains a directional estimate: providers differ in eligibility, rounding, and retention.

Compatibility flags

This API has no model compatibility flags.