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mistral-medium-3-5

Mistral AI/Proprietary/1 provider

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 multi step reasoning. It is particularly strong at reliable multi tool calling and long horizon tasks, with a 256K context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. Self hostable on as few as four GPUs and available under open weights.More

Which id to call

mistral-medium-3-5

Requesty routes this id across every provider serving mistral-medium-3-5, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

From /1M input

$1.65

Mistral AI SAS

Context

262K

tokens

Endpoints

1

1 region

Regions

1

chat

Capabilities 4/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

1 endpoint / 1 region

Providers serving mistral-medium-3-5

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.

Providers serving mistral-medium-3-5, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1Mistral AI SASEU262K$1.65$8.25$1.65zdr

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

mistral-medium-3-5

Requesty routes this id across every provider serving mistral-medium-3-5, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="mistral-medium-3-5", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Artificial Analysis

Benchmark scores

Coding Indexcoding
46.9%

Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
74.8%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
14.2%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.

6

More from Mistral AI

Reference

mistral-medium-3-5 questions

Which providers serve mistral-medium-3-5?

mistral-medium-3-5 is available from 1 provider through Requesty: Mistral AI SAS. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does mistral-medium-3-5 cost?

Pricing starts at $1.65 per million input tokens and $8.25 per million output tokens on Mistral AI SAS, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is mistral-medium-3-5 open weights?

No. mistral-medium-3-5 is a proprietary model from Mistral AI, served through Mistral AI's own API and licensed cloud platforms.

What is the context window of mistral-medium-3-5?

mistral-medium-3-5 supports up to 262K tokens of context. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use mistral-medium-3-5 with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "mistral-medium-3-5" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Should I call mistral-medium-3-5 by its managed id or a provider id?

Use the managed id, "mistral-medium-3-5". Requesty picks which of the 1 provider serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. There is also an EU-only id, "mistral-medium-3-5@eu", which routes the same way but only through EU-hosted providers. Send a provider id like "mistral/mistral-medium-3-5" only when you need one specific deployment and want no failover.

Route mistral-medium-3-5 through one endpoint

One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

Benchmark rankings