Devstral Medium API Pricing
As of October 10, 2026, Devstral Medium costs $0.40 per 1M input tokens and $2.00 per 1M output tokens on Mistral AI, with cache reads at $0.04 per 1M tokens. It has a 256,000-token context window and returns up to 256,000 tokens per response.
- Input
- $0.40 / 1M tokens
- Output
- $2.00 / 1M tokens
- Cache read
- $0.04 / 1M tokens
- Context window
- 256,000 tokens
- Max output
- 256,000 tokens
- Providers
- 1
- Added to LiteLLM
- July 2025
Devstral Medium pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| Mistral AIlatest alias | mistral/devstral-medium-latest | $0.40 | $2.00 | $0.04 | 256K |
What Devstral Medium costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Mistral AI | $1.80 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Mistral AI | $4.40 |
Devstral Medium features
- Function calling
- Structured output
Use Devstral Medium with LiteLLM
Call Devstral Medium through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="mistral/devstral-medium-latest",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: devstral-medium
litellm_params:
model: mistral/devstral-medium-latest
api_key: os.environ/MISTRAL_API_KEYcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "devstral-medium",
"messages": [{"role": "user", "content": "Hello!"}]
}'Devstral Medium FAQ
How much does Devstral Medium cost?
Devstral Medium costs $0.40 per 1M input tokens and $2.00 per 1M output tokens on Mistral AI, with cache reads at $0.04 per 1M tokens.
What is the context window of Devstral Medium?
Devstral Medium has a 256,000-token context window and returns up to 256,000 tokens per response.
Which providers offer Devstral Medium?
Devstral Medium is available from Mistral AI through LiteLLM, using the model name mistral/devstral-medium-latest.
How do I call Devstral Medium with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="mistral/devstral-medium-latest", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
What features does Devstral Medium support?
Devstral Medium supports function calling and structured output.
When did LiteLLM add Devstral Medium?
Devstral Medium was added to LiteLLM's model price file in July 2025.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
LiteLLM docs: Mistral AI.
Provider pages: Mistral AI.
