Pyyan / Compare / GLM-5.3 vs DeepSeek V4.1 Flash
GLM-5.3 vs DeepSeek V4.1 Flash
2 of 5Open-Weight Models · verified 13 Sept 2026
GLM-5.3Zhipu AIcurrentDeepSeek V4.1 FlashDeepSeekcurrent
| Specification | GLM-5.3 | DeepSeek V4.1 Flash |
|---|---|---|
| Summary | Post-trained from the GLM-5.2 base, with the weights following two weeks later. | Twice the parameters of the Flash it replaces, and cheaper to run. |
| Context | 1M | 1M |
| Input ($/Mtok) | $1.4 | $0.3 |
| Output ($/Mtok) | $4.4 | $1.2 |
| Licence | Open weights | MIT |
| Max output | 32K | 256K |
| Parameters | Not published | 552B total, 8B / 16B active |
| Released | 14 Aug 2026, weights 27 Aug | 10 Sep 2026 |
| Model ID | zai-org/GLM-5.3 | deepseek-flash |
| Category | Open-Weight Models | Open-Weight Models |
| Official | — | DeepSeek ↗ |
Highlighted rows are where these differ.
GLM-5.3
- Post-trained from the GLM-5.2 base rather than trained from scratch
- $1.40 in and $4.40 out per million tokens, with a 1M token window
- Announced 14 August, weights published 27 August
Best for the full-size open flagship.
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.