# DeepSeek V4.1 Flash vs GLM-5.1 - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4-1-flash/zhipuai/glm-5-1
- Updated: 2026-11-05T07:10:33.000Z

|  | DeepSeek V4.1 Flash | GLM-5.1 |
| --- | --- | --- |
| Lab | DeepSeek | Zhipu |
| Context window | 1M | 200K |
| Max output | 384K | 131K |
| Input modalities | text, image | text |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | Yes |
| Release date | 2026-09-10 | 2026-04-07 |
| Input price per 1M tokens | $0.07 | $0.90 |
| Output price per 1M tokens | $0.30 | $3.59 |
| Cached input price per 1M tokens | $0.0015 | $0.19 |
| OpenCode tokens: past 2 months | 626T | 36B |
| Share of all tokens | 48% | 0% |
| Rank by tokens last week | #1 | - |
| Unique users | 5.2M | 30K |
| Weekly retention | 72.8% | 46.8% |

Model pages: [DeepSeek V4.1 Flash](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md), [GLM-5.1](https://opencode.ai/data/zhipuai/glm-5-1.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.