# MAI-Code-1-Flash vs GLM-5.3-Flash - AI Model Comparison

- Page: https://opencode.ai/data/compare/microsoft/mai-code-1-flash/zhipuai/glm-5-3-flash
- Updated: 2026-10-10T22:52:38.000Z

|  | MAI-Code-1-Flash | GLM-5.3-Flash |
| --- | --- | --- |
| Lab | Microsoft | Zhipu |
| Context window | 256K | 1M |
| Max output | 128K | 131K |
| Input modalities | text | text, image, video, pdf |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | No | Yes |
| Release date | 2026-06-02 | 2026-08-26 |
| Input price per 1M tokens | - | $0.15 |
| Output price per 1M tokens | - | $0.50 |
| Cached input price per 1M tokens | - | $0.03 |
| OpenCode tokens: past 2 months | - | 64T |
| Share of all tokens | - | 6.6% |
| Rank by tokens last week | - | #9 |
| Unique users | - | 1.2M |
| Weekly retention | - | 61.6% |

Model pages: [MAI-Code-1-Flash](https://opencode.ai/data/microsoft/mai-code-1-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.