# Qwen3.6 Flash vs GLM-5.3-Flash - AI Model Comparison

- Page: https://opencode.ai/data/compare/alibaba/qwen3-6-flash/zhipuai/glm-5-3-flash
- Updated: 2026-10-23T13:34:18.000Z

|  | Qwen3.6 Flash | GLM-5.3-Flash |
| --- | --- | --- |
| Lab | Alibaba | Zhipu |
| Context window | 1M | 1M |
| Max output | 66K | 131K |
| Input modalities | text, image, video | text, image, video, pdf |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-04-27 | 2026-08-26 |
| Input price per 1M tokens | $0.25 | $0.12 |
| Output price per 1M tokens | $1.50 | $0.42 |
| Cached input price per 1M tokens | $0.05 | $0.03 |
| OpenCode tokens: past 2 months | 0 | 31T |
| Share of all tokens | 0% | 2.7% |
| Rank by tokens last week | - | #3 |
| Unique users | 0 | 1M |
| Weekly retention | - | 63.2% |

Model pages: [Qwen3.6 Flash](https://opencode.ai/data/alibaba/qwen3-6-flash.md), [GLM-5.3-Flash](https://opencode.ai/data/zhipuai/glm-5-3-flash.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.