Pyyan / Compare / GLM-5.1 vs DeepSeek V4.1 Flash
GLM-5.1 vs DeepSeek V4.1 Flash
2 of 5Open-Weight Models · verified 13 Sept 2026
GLM-5.1Zhipu AIcurrentDeepSeek V4.1 FlashDeepSeekcurrent
| Specification | GLM-5.1 | DeepSeek V4.1 Flash |
|---|---|---|
| Summary | Beat Claude Opus 4.6 on a coding benchmark. | Twice the parameters of the Flash it replaces, and cheaper to run. |
| Context | — | 1M |
| Input ($/Mtok) | — | $0.3 |
| Output ($/Mtok) | — | $1.2 |
| Licence | Open weights | MIT |
| Max output | — | 256K |
| Parameters | — | 552B total, 8B / 16B active |
| Released | — | 10 Sep 2026 |
| Model ID | — | deepseek-flash |
| Category | Open-Weight Models | Open-Weight Models |
| Official | Zhipu AI ↗ | DeepSeek ↗ |
Highlighted rows are where these differ.
DeepSeek V4.1 Flash
- 552B total, 8B active while reading the prompt and 16B while generating, with a 1M token context
- DeepSeek says it beats V4-Pro; V4-Pro requests route to it from 14 September 2026
- MIT licence, native image input, and a KV cache about a quarter the size of V4-Flash's
Best for cheap agentic coding with images.