Requesty

mistral-medium-3-5

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.

👁Vision🧠Reasoning🔧Tool calling

Specifications

Context window262K tokens
Max output
API typechat
AddedMay 20, 2026
Model IDmistral/mistral-medium-3-5
Data retentionYes (30 days)
Used for trainingNo
Provider location🇪🇺 EU

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Mistral AI SAS models overview.

Pricing

Input / 1M
$1.50
Output / 1M
$7.50
Cache write
Cache read
Estimated cost
100K input + 10K output$0.22
1M input + 100K output$2.25
10M input + 1M output$22.50

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to mistral/mistral-medium-3-5.

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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/mistral-medium-3-5", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Other Mistral AI SAS models

Frequently asked questions

How much does mistral-medium-3-5 cost?
mistral-medium-3-5 is priced at $1.50 per million input tokens and $7.50 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of mistral-medium-3-5?
mistral-medium-3-5 has a context window of 262K tokens. That's roughly 350 words of input you can fit in a single prompt.
What can mistral-medium-3-5 do?
mistral-medium-3-5 supports vision input, tool calling, extended reasoning. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
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/mistral-medium-3-5". The Quickstart above shows Python, JavaScript and cURL snippets.

Access mistral-medium-3-5 through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.