Pyyan / Compare / GLM-5.3 vs DeepSeek V4-Pro
GLM-5.3 vs DeepSeek V4-Pro
2 of 5Open-Weight Models · verified 13 Sept 2026
GLM-5.3Zhipu AIcurrentDeepSeek V4-ProDeepSeekcurrent
| Specification | GLM-5.3 | DeepSeek V4-Pro |
|---|---|---|
| Summary | Post-trained from the GLM-5.2 base, with the weights following two weeks later. | Best all-round open model of 2026. |
| Context | 1M | — |
| Input ($/Mtok) | $1.4 | — |
| Output ($/Mtok) | $4.4 | — |
| Licence | Open weights | MIT |
| Max output | 32K | — |
| Parameters | Not published | — |
| Released | 14 Aug 2026, weights 27 Aug | — |
| Model ID | zai-org/GLM-5.3 | — |
| 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-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.