Mistral Large 3 costs about $0.012 per average coding-agent request on our measured traffic, at list prices of $0.50 per million input and $1.50 per million output tokens. It is an open-weight generalist with EU provenance and scores 9 on the Artificial Analysis Intelligence Index. Source: Artificial Analysis (artificialanalysis.ai)
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| Cost at list price | Mistral Large 3 |
|---|---|
| Prompt under 100K tokens50% of requests, 87% of input cached | $0.0071 |
| Prompt of 100K to 272K39% of requests, 88% of input cached | $0.018 |
| Prompt over 272K tokens11% of requests, 86% of input cached | n/a |
| Average request | $0.012 |
| 100 requests | $1.19 |
| Median session16 requests; a session ends after 10 idle minutes | $0.14 |
| A month of regular usemedian of 20 users active on 5+ days | $15.10 |
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 Mistral Large 3's 262K context window and are left out of its figures.
| Artificial Analysis | Value | Rank |
|---|---|---|
| Intelligence Index10 evaluations, 0 to 100 | 9 | 47 of 48 |
| Terminal-Bench 4.0agentic coding in a terminal | 0.0% | 35 of 39 |
| Output speedmedian | 73 tokens/s | 29 of 44 |
| Time to first answer tokenincludes thinking time | 1.1 s | 1 of 44 |
Source: Artificial Analysis (artificialanalysis.ai). Measured variant: Mistral Large 3, speed on Mistral. 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.
It is cheap per request, but it is a non-reasoning model that scores far below current coding models, so expect more retries. Its 262K window leaves out 12% of our requests.

Mistral Large 3 (2512) is Mistral's open-weight general model, released December 2, 2025 with a 262K context. Its EU-based provenance matters for some compliance needs. It is a non-reasoning model that scores 9 on the Artificial Analysis Intelligence Index and 0% in Artificial Analysis's Terminal-Bench 4.0 run, far below current coding models, and Artificial Analysis lists it as superseded. Its 262K context is smaller than 11.7% of the coding-agent requests we measured.
Sources: Artificial Analysis
General open-weight text work where EU provenance matters.
The agent matters as much as the model. Which agent gets the most out of Mistral Large 3? →
Current Claude, GPT, Gemini and open models run on Standard Compute