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Mistral: Mistral Medium 3.5

by Mistral AI

mistralai/mistral-medium-3-5
Unavailable

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...

Context

262Ktokens

About 374 pages of text at once

Max output

210Ktokens

About 300 pages in one answer

Intelligence

—

No score published for this model.

Output speed

106tokens/s

A 500-word answer in about 6.6 s

From public market statistics for this model

First token

0.6s

Reasoning models start later

From public market statistics for this model

Health, 30 days

58.98%

4 of 30 days without a fault

IranRouter’s measurements

Price & cost

Every rate in Rial. A request pays only for the tokens it actually uses.

Input4,111,490IRR / 1M tokens
Output20,557,448IRR / 1M tokens
Reasoning tokensThe output rate20,557,448IRR / 1M tokens
Image input tokensThe input rate4,111,490IRR / 1M tokens

What would this model cost you a month?

Monthly cost

740.07MIRR

24.67M IRR a day, 12K IRR each request

30 days at today’s rate.

Rial price over 90 days

It moves with the exchange rate; the steps are the maker’s own price changes. Built at today’s margin, so approximate if the margin changed in the window.

InputOutput

Performance, 30 days

Health is measured by IranRouter itself: a day counts as healthy unless requests to this model failed on our side or it could not be served. First token and speed come from IranRouter’s traffic, and from public market statistics for this model on days without enough of it.

Daily health58.98%

Time to first token0.60 s

Output speed109 tokens/s

Place in the market

By usage across the global model market.

This model isn’t ranked yet.

Capabilities

Image inputYes
Audio inputNo
Tool callingYes
JSON outputYes
ReasoningReasoning levels: high, none
Web searchNo
Prompt cacheNo
Makes imagesNo
Open weightsNo
On the free planNo
Input
TextImageFile
Output
Text

Parameters it accepts

frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p

Other benchmarks

Coding index47
Agentic index7

Start in a minute

The official OpenAI and Anthropic SDKs; only the address and the key change.

Base URLhttps://iranrouter.com/v1
Model IDmistralai/mistral-medium-3-5
API keyCreate one in the dashboard
# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://iranrouter.com/v1",
    api_key="ir-...",
)

r = client.chat.completions.create(
    model="mistralai/mistral-medium-3-5",
    messages=[{"role": "user", "content": "Hello, introduce yourself"}],
)
print(r.choices[0].message.content)
The full guide in the docs: keys, streaming and errors

Peer models

Its family and models with a close score; the last column compares one message’s cost with this model.

No peer models found.

Technical specs

ID
mistralai/mistral-medium-3-5
Maker
Mistral AI
Tokenizer
Mistral
Released
Apr 30, 2026
Added to IranRouter
Aug 19, 2026
Context
262,144 tokens
Max output
209,715 tokens

Scores by Artificial Analysis, as of Oct 31, 2026

Mistral: Mistral Medium 3.5One message about 18,500 IRRStart with this model