# Qwen3.7 Plus vs LongCat-2.5-Preview - AI Model Comparison

- Page: https://opencode.ai/data/compare/alibaba/qwen3-7-plus/meituan/longcat-2-5-preview
- Updated: 2026-10-30T13:20:12.000Z

|  | Qwen3.7 Plus | LongCat-2.5-Preview |
| --- | --- | --- |
| Lab | Alibaba | Meituan |
| Context window | 1M | 1M |
| Max output | 64K | 131K |
| Input modalities | text, image, video | text, image |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | No |
| Release date | 2026-06-02 | 2026-09-25 |
| Input price per 1M tokens | $0.32 | $0.30 |
| Output price per 1M tokens | $1.28 | $1.20 |
| Cached input price per 1M tokens | $0.06 | $0.0060 |
| OpenCode tokens: past 2 months | 677B | 9T |
| Share of all tokens | 0.1% | 0.7% |
| Rank by tokens last week | #30 | #32 |
| Unique users | 117K | 291K |
| Weekly retention | 62.4% | 62.6% |

Model pages: [Qwen3.7 Plus](https://opencode.ai/data/alibaba/qwen3-7-plus.md), [LongCat-2.5-Preview](https://opencode.ai/data/meituan/longcat-2-5-preview.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.
