Mistral Medium 3.5
by MistralReleased Apr 30, 2026
mistralai/mistral-medium-3-5- Reads images
- Reads files and PDFs
- Calls tools
- Answers in a JSON schema
Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex...
- Input / 1M tokens
- $1.80
- Output / 1M tokens
- $9.00
- Context
- 262K
- Longest answer
- 210K
What it costs
What each call is charged to the token's AI credit.
| Billed for | You pay |
|---|---|
| Input tokens | $1.80 / 1M |
| Output tokens | $9.00 / 1M |
A typical call
A short chat turn: 2,000 tokens in, 500 out.
- per call
- $0.0081
- calls per $20
- 2,469
What it can do
From its listing. The router passes every field through.
- Reads imagesYes
- Reads files and PDFsYes
- Hears audioNo
- Calls toolsYes
- Answers in a JSON schemaYes
- Reasons before it answersYes
- Searches the webNo
- Caches long promptsNo
- Draws imagesNo
Call it
Any router key works, in the format your SDK already speaks.
import OpenAI from "openai";const ai = new OpenAI({ baseURL: "https://relayfor.si/api/v1", apiKey: process.env.RELAYFOR_ROUTER_KEY,});const reply = await ai.chat.completions.create({ model: "mistralai/mistral-medium-3-5", messages: [{ role: "user", content: "Welcome the 1,000th holder in one line." }],});Specifications
What its maker and providers list for it.
- Reads
- Text, Images, and Files
- Writes
- Text
- Context
- 262,144 tokens
- Longest answer
- 209,715 tokens
- Reasoning effort
- none to high
- Intelligence index
- 14.2 (#123 of 220 rated)
- Released
- Apr 30, 2026
- Moderation
- None
Request fields
The fields its providers accept, passed through as you send them.
- frequency_penalty
- include_reasoning
- max_tokens
- presence_penalty
- reasoning
- reasoning_effort
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_p
Questions
How much does Mistral Medium 3.5 cost?
$1.80 per million input tokens and $9.00 per million output tokens, paid from the token's AI credit. A call of 2,000 tokens in and 500 out costs about $0.0081.
How do I call Mistral Medium 3.5?
Make a router key for one of your tokens on the dashboard, point any OpenAI or Anthropic SDK at https://relayfor.si/api/v1 and send the model id mistralai/mistral-medium-3-5. The token's AI credit pays for each call.
How long a prompt can Mistral Medium 3.5 take?
Up to 262,144 tokens of context, and up to 209,715 tokens in one answer.
Are my prompts stored?
No. The RFS Router passes each call through and keeps only its token counts and cost, for the token's usage page.
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