# Mistral Large 4 vs Qwen 3.8 Max Prime - AI Model Comparison

- Page: https://opencode.ai/data/compare/mistral/qwen

|  | Mistral Large 4 | Qwen 3.8 Max Prime |
| --- | --- | --- |
| Lab | Mistral | Alibaba |
| Context window | 1M | 1M |
| Max output | 262K | 131K |
| Input modalities | text, image | text, image, video |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | No |
| Release date | 2026-10-06 | 2026-09-23 |
| Input price per 1M tokens | $0.68 | $4.00 |
| Output price per 1M tokens | $2.09 | $12.00 |
| Cached input price per 1M tokens | $0.07 | $0.50 |
| OpenCode tokens: past 2 months | - | - |
| Share of all tokens | - | - |
| Rank by tokens last week | - | - |
| Unique users | - | - |
| Weekly retention | - | - |

Model pages: [Mistral Large 4](https://opencode.ai/data/mistral/mistral-large-4.md), [Qwen 3.8 Max Prime](https://opencode.ai/data/alibaba/qwen3-8-max-prime.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.