Pyyan / Compare / GLM-5.3 vs Qwen3.8-Flash-Next
GLM-5.3 vs Qwen3.8-Flash-Next
2 of 5Open-Weight Models · verified 2 Sept 2026
GLM-5.3Zhipu AIcurrentQwen3.8-Flash-NextAlibabacurrent
| Specification | GLM-5.3 | Qwen3.8-Flash-Next |
|---|---|---|
| Summary | Post-trained from the GLM-5.2 base, with the weights following two weeks later. | The most downloaded thing on Hugging Face right now, and a stated Qwen4 preview. |
| Context | 1M | 262K native, ~1M extended |
| Input ($/Mtok) | $1.4 | $0.15 |
| Output ($/Mtok) | $4.4 | $0.47 |
| Licence | Open weights | Open weights |
| Max output | 32K | 32K |
| Parameters | Not published | 125B total, 6B active |
| Released | 14 Aug 2026, weights 27 Aug | 26 Aug 2026 |
| Model ID | zai-org/GLM-5.3 | Qwen/Qwen3.8-Flash-Next |
| Category | Open-Weight Models | Open-Weight Models |
| Official | — | — |
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.
Qwen3.8-Flash-Next
- 125B total parameters with only 6B active per token
- Alibaba describes it as a preview of the Qwen4 architecture
- Top of the Hugging Face trending list, with a GGUF build close behind it
Best for open weights at speed.