# Qwen3.7 Max vs MiniMax-M2.5 - AI Model Comparison

- Page: https://opencode.ai/data/compare/alibaba/qwen3-7-max/minimax/minimax-m2-5
- Updated: 2026-10-04T06:45:40.000Z

|  | Qwen3.7 Max | MiniMax-M2.5 |
| --- | --- | --- |
| Lab | Alibaba | MiniMax |
| Context window | 1M | 205K |
| Max output | 66K | 131K |
| Input modalities | text | text |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-05-21 | 2026-02-12 |
| Input price per 1M tokens | $2.50 | $0.30 |
| Output price per 1M tokens | $7.50 | $1.20 |
| Cached input price per 1M tokens | $0.50 | $0.03 |
| OpenCode tokens: past 2 months | 85B | 25B |
| Share of all tokens | 0.0% | 0% |
| Rank by tokens last week | #44 | #42 |
| Unique users | 78K | 35K |
| Weekly retention | 45.4% | 59.5% |

Model pages: [Qwen3.7 Max](https://opencode.ai/data/alibaba/qwen3-7-max.md), [MiniMax-M2.5](https://opencode.ai/data/minimax/minimax-m2-5.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.