# Qwen3.8 Flash vs Mistral Large 4 - AI Model Comparison

- Page: https://opencode.ai/data/compare/alibaba/qwen3-8-flash/mistral/mistral-large-4
- Updated: 2026-10-06T17:39:35.000Z

|  | Qwen3.8 Flash | Mistral Large 4 |
| --- | --- | --- |
| Lab | Alibaba | Mistral |
| Context window | 1M | 1M |
| Max output | 131K | 262K |
| Input modalities | text, image, video | text, image |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | No |
| Release date | 2026-08-26 | 2026-10-06 |
| Input price per 1M tokens | $0.15 | $0.68 |
| Output price per 1M tokens | $0.47 | $2.09 |
| Cached input price per 1M tokens | $0.02 | $0.07 |
| OpenCode tokens: past 2 months | 2.2T | - |
| Share of all tokens | 0.2% | - |
| Rank by tokens last week | #17 | - |
| Unique users | 165K | - |
| Weekly retention | 59.0% | - |

Model pages: [Qwen3.8 Flash](https://opencode.ai/data/alibaba/qwen3-8-flash.md), [Mistral Large 4](https://opencode.ai/data/mistral/mistral-large-4.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.