Devstral 2: context, capabilities and where to run it

Prices from official vendor price lists · October 2026

Mistral AI does not publish a token price for this model, so cost depends on where it is hosted. Recorded here for coding, free tier.

Capabilities
Text & chatCodingStructured JSON output
Context window
256K tokens
Price / mo
API only

Devstral 2 is an AI model from Mistral AI. The vendor does not publish a public per-token price, so the cost cells are left empty rather than guessed.

It holds 256K tokens in a single conversation. Capabilities recorded in this rating: text & chat, coding, structured JSON output, prompt caching, batch API. Access is through the API rather than a consumer subscription.

API priceNot publishedper 1M tokens, in / out
Context256K tokenstokens per conversation
VendorMistral AIall models from this vendor
TierUnpricedno public rate card

Compared with alternatives

Good and poor fit

Good fit
  • Writing, reviewing and refactoring code, including fill-in-the-middle edits.
  • General text generation and conversation across languages.
Poor fit
  • Anything requiring image input — this model does not accept it.
  • Integrations that depend on structured function calls.

Related filters

Text & chat234 models for text generation and chat
Coding17 models built for writing code
Prompt caching153 models with cheap repeated context
Batch API146 models with half-price async processing
Free tier86 models with a free API allowance
Mistral AI11 models from this vendor
All 245 modelsThe full rating with filters and prices

Frequently asked questions

How much does Devstral 2 cost?

Mistral AI does not publish a public per-token rate for this model, so the price cells here are empty rather than estimated.

What is the context window of Devstral 2?

256K tokens in a single conversation.

What can Devstral 2 do?

In this rating it is recorded with: text & chat, coding, structured JSON output, prompt caching, batch API, free tier, multilingual, proprietary API.

Is Devstral 2 a good choice?

It depends on the job. See the good-fit and poor-fit lists above, and compare against the neighbouring models before committing.

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