# Qwen3.7 Max vs kimi-preview-1021 - AI Model Comparison

- Page: https://opencode.ai/data/compare/alibaba/qwen3-7-max/moonshot/kimi-preview-1021
- Updated: 2026-10-23T21:09:57.000Z

|  | Qwen3.7 Max | kimi-preview-1021 |
| --- | --- | --- |
| Lab | Alibaba | Moonshot |
| Context window | 1M | - |
| Max output | 131K | - |
| Input modalities | text | - |
| Reasoning | Yes | - |
| Tool calling | Yes | - |
| Open weights | No | - |
| Release date | 2026-05-21 | - |
| Input price per 1M tokens | $1.25 | - |
| Output price per 1M tokens | $3.75 | - |
| Cached input price per 1M tokens | $0.25 | - |
| OpenCode tokens: past 2 months | 32B | 97M |
| Share of all tokens | 0% | 0% |
| Rank by tokens last week | #47 | #50 |
| Unique users | 40K | 3 |
| Weekly retention | 49.3% | - |

Model pages: [Qwen3.7 Max](https://opencode.ai/data/alibaba/qwen3-7-max.md), [kimi-preview-1021](https://opencode.ai/data/moonshot/kimi-preview-1021.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.