# Mistral Small 3 Usage, Cost & Rank | OpenCode Data

Efficient Mistral model for fast chat, extraction, and production assistants

- Page: https://opencode.ai/data/mistral/mistral-small-24b-instruct-2501
- JSON: https://opencode.ai/data/mistral/mistral-small-24b-instruct-2501.json
- Model ID: mistral/mistral-small-24b-instruct-2501
- Lab: Mistral

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 33K |
| Max output | 16K |
| Knowledge cutoff | 2023-10-31 |
| Release date | 2025-01-30 |
| Input modalities | text |
| Output modalities | text |
| Reasoning | No |
| Tool calling | No |
| Open weights | Yes |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.