Mistral AIChat

Devstral Medium

devstral-medium

Devstral Medium by Mistral AI.

Context: 131.1K tokens
Endpoint

Pricing

Input$0.80 / 1M

Output$4.00 / 1M

Cache Write (5m)$0.80 / 1M

Cache Write (1h)$0.80 / 1M

Cache Read$0.80 / 1M

Web Search$0 / 1M

Quick Start

Select an endpoint and copy a working example for this model.

Endpoint

python

from openai import OpenAI client = OpenAI(    api_key="YOUR_API_KEY",    base_url="https://api.apertis.ai/v1") response = client.chat.completions.create(    model="devstral-medium",    messages=[        {"role": "user", "content": "Hello!"}    ],    max_tokens=1024,    temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(#     model="devstral-medium",#     messages=[{"role": "user", "content": "Hello!"}],#     extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )

Supported Parameters

API docs

Common7 params

modelmessagesmax_tokenstemperaturetop_pstreamtools

Extended4 params

reasoning_effortstream_optionsthinkingextra_body

Cursor IDE Model IDs

Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.

devstral-medium

Questions about Devstral Medium

How much does Devstral Medium cost on Apertis?

Devstral Medium costs $0.80 per 1M input tokens and $4.00 per 1M output tokens on Apertis.

What is Devstral Medium's context window?

Devstral Medium has a context window of 131.1K tokens.

Which company develops Devstral Medium?

Devstral Medium is developed by Mistral AI.

Which model ID do I use to call Devstral Medium?

Use the model ID devstral-medium to call Devstral Medium.

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