Devstral 2 costs about $0.010 per average coding-agent request on our measured traffic, at list prices of $0.40 per million input and $2 per million output tokens. It scores 9 on the Artificial Analysis Intelligence Index, 48th of the 48 models we track. Source: Artificial Analysis (artificialanalysis.ai)
Run current Claude, GPT, Gemini and open models in your agent
Or let the router send each step to the cheapest model that can do it, on providers we vet for price, uptime and speed. Plans from $19 a month.
| Cost at list price | Devstral 2 |
|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.0062 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.015 |
| Prompt over 272K tokens11% of requests, 86% of input cached | n/a |
| Average request | $0.010 |
| 100 requests | $1.01 |
| Median session16 requests; a session ends after 10 idle minutes | $0.12 |
| A month of regular usemedian of 20 users active on 5+ days | $12.73 |
Each logged request priced at the vendor’s list rates for its own token counts, including cache reads and any higher rate for long prompts. Average output: 698 tokens per request. 12% of requests were larger than Devstral 2's 262K context window and are left out of its figures.
| Artificial Analysis | Value | Rank |
|---|---|---|
| Intelligence Index10 evaluations, 0 to 100 | 9 | 48 of 48 |
| Terminal-Bench 4.0agentic coding in a terminal | 0.0% | 35 of 39 |
Source: Artificial Analysis (artificialanalysis.ai). Measured variant: Devstral 2. Fetched October 13, 2026. Rank is among the models on this site, older versions included. Artificial Analysis runs Terminal-Bench 4.0 in its own setup, so its scores differ from the tbench.ai leaderboard.
Its 262K-token window is smaller than 12% of our coding-agent requests, which are left out of the figures above, so long agent sessions will hit the limit. It is weak on long agentic coding tasks (see Terminal-Bench 4.0 above), so a cheap request can turn into more steps and retries.

Devstral 2 (2512) is Mistral's open-weight model tuned for software-engineering agents, released December 9, 2025 with a 262K context, for codebase navigation, multi-file edits and tool use. Independent results are weak: it scores 9 on the Artificial Analysis Intelligence Index and 0% in Artificial Analysis's Terminal-Bench 4.0 run, and Artificial Analysis lists it as superseded. Mistral's own pricing page does not list it; the price used here is Mistral's endpoint as listed on OpenRouter.
Sources: Artificial Analysis
Coding agents that need a Mistral open-weight model.
The agent matters as much as the model. Which agent gets the most out of Devstral 2? →
Current Claude, GPT, Gemini and open models run on Standard Compute