Open-weight models

Devstral 2, the Mistral AI model in numbers

Devstral 2 in numbers: price per token, context window, independent benchmark scores and comparable models, based on public data checked on October 22, 2026.

Data as of October 22, 2026

Key figures

DeveloperMistral AI
ReleasedDecember 9, 2025
Knowledge cutoffDecember 2025
Context window128,000 tokens (≈ 192 pages)
Maximum output128,000 tokens
Input price$0.40 per million tokens (median of 15 providers)
Output price$2 per million tokens
Open weightsYes
Reasoning modeNo
Tool callingYes
Structured output (JSON)Not disclosed
Accepted inputstext
Providers offering it15

Devstral 2 at a glance

Mistral AI released Devstral 2 on December 9, 2025. It has no declared reasoning mode: it answers directly, without an extra billed thinking step. It is an open-weight model: you can host it yourself on infrastructure you control, and 15 API providers listed on models.dev also offer it. That makes it 10 months old as of October 22, 2026.

We file it under open-weight models (68 models in this category on the site).

Measured performance

As of October 22, 2026, Epoch AI publishes no score for Devstral 2 on our basket's benchmarks. To place it, rely on its specifications and price, then test it on your own cases.

At Mistral AI, the best-scoring model we track is Mistral Large 4, with an index of 79.7.

Pricing and budget

Devstral 2 costs $0.40 per million input tokens and $2 per million output tokens (median of 15 providers, checked on October 22, 2026).

In practice, an agent task that reads 20,000 tokens and writes 2,000 costs about $0.012, or $12 for 1,000 such tasks.

That is 2 times the median output price of open-weight models ($1).

To estimate your own budget, use the agent cost calculator.

What it can do

Its context window reaches 128,000 tokens, roughly 192 pages of text at 500 words per page: enough for a medium-length document. A single answer can run to 128,000 tokens.

It accepts as input: text. Its knowledge stops at December 2025: beyond that, it needs web search or your documents.

It can call tools (functions, APIs), which makes it a possible foundation for an AI agent.

The weights are published on Hugging Face (mistralai/Devstral-2-123B-Instruct-2512). See also our list of open-source models.

What is it good for?

Given its category, Devstral 2 is mainly aimed at projects where you want control over your data or hosting, or want to adapt the model to your field.

Before adopting it, test it on your own examples: benchmarks measure standard tasks, not your job.

Alternatives

In the same category, the models closest to Devstral 2 are:

Similar models

Other Mistral AI models

Frequently asked questions

How much does Devstral 2 cost?

As of October 22, 2026, Devstral 2 costs $0.40 per million input tokens and $2 per million output tokens (median of 15 providers). A task that reads 20,000 tokens and writes 2,000 costs about $0.012.

What is the context window of Devstral 2?

128,000 tokens, roughly 192 pages of text. An answer can reach 128,000 tokens.

Is Devstral 2 open source?

Its weights are published: you can install it on your own servers. Check the license before commercial use.

When was Devstral 2 released?

Devstral 2 was released on December 9, 2025, according to models.dev.

Can you build an agent with Devstral 2?

Yes: it can call tools, the two basic building blocks of an agent.

Data sources

Data as of October 22, 2026

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