Pyyan / Compare / GLM-5.3-Flash vs DeepSeek V4-Pro
GLM-5.3-Flash vs DeepSeek V4-Pro
2 of 5Open-Weight Models · verified 13 Sept 2026
GLM-5.3-FlashZhipu AIcurrentDeepSeek V4-ProDeepSeekcurrent
| Specification | GLM-5.3-Flash | DeepSeek V4-Pro |
|---|---|---|
| Summary | MIT licensed, a million tokens of context, fifteen cents a million in. | Best all-round open model of 2026. |
| Context | 1M | — |
| Input ($/Mtok) | $0.15 | — |
| Output ($/Mtok) | $0.5 | — |
| Licence | MIT | MIT |
| Max output | 32K | — |
| Parameters | 320B total, 18B active | — |
| Released | 26 Aug 2026 | — |
| Model ID | zai-org/GLM-5.3-Flash | — |
| Category | Open-Weight Models | Open-Weight Models |
| Official | — | DeepSeek ↗ |
Highlighted rows are where these differ.
GLM-5.3-Flash
- MIT licensed, which is about as permissive as an open release gets
- 320B total parameters, 18B active, with a 1M token context
- $0.15 in and $0.50 out per million tokens
Best for permissive licence at scale.
DeepSeek V4-Pro
- Tops open leaderboards on agentic coding and reasoning
- MIT licence — no conditions
- Pioneered aggressive cache-hit pricing at ~$0.07/M
- DeepSeek routes all V4-Pro requests to V4.1 Flash from 14 September 2026
Best for everything open.