# Llama 4 Scout 17B Instruct vs Mistral Medium 3.5 - AI Model Comparison

- Page: https://opencode.ai/data/compare/meta/llama-4-scout-17b-instruct/mistral/mistral-medium-2604

|  | Llama 4 Scout 17B Instruct | Mistral Medium 3.5 |
| --- | --- | --- |
| Lab | Meta | Mistral |
| Context window | 10M | 262K |
| Max output | 16K | 262K |
| Input modalities | text, image | text, image |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | Yes |
| Release date | 2025-04-05 | 2026-04-29 |
| Input price per 1M tokens | $0.18 | $1.50 |
| Output price per 1M tokens | $0.59 | $7.50 |
| Cached input price per 1M tokens | - | $0.15 |
| OpenCode tokens: past 2 months | - | - |
| Share of all tokens | - | - |
| Rank by tokens last week | - | - |
| Unique users | - | - |
| Weekly retention | - | - |

Model pages: [Llama 4 Scout 17B Instruct](https://opencode.ai/data/meta/llama-4-scout-17b-instruct.md), [Mistral Medium 3.5](https://opencode.ai/data/mistral/mistral-medium-2604.md)

## 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.