Pyyan / Compare / GLM-5.3-Flash vs Qwen3.8-Flash-Next
GLM-5.3-Flash vs Qwen3.8-Flash-Next
2 of 5Open-Weight Models · verified 2 Sept 2026
GLM-5.3-FlashZhipu AIcurrentQwen3.8-Flash-NextAlibabacurrent
| Specification | GLM-5.3-Flash | Qwen3.8-Flash-Next |
|---|---|---|
| Summary | MIT licensed, a million tokens of context, fifteen cents a million in. | The most downloaded thing on Hugging Face right now, and a stated Qwen4 preview. |
| Context | 1M | 262K native, ~1M extended |
| Input ($/Mtok) | $0.15 | $0.15 |
| Output ($/Mtok) | $0.5 | $0.47 |
| Licence | MIT | Open weights |
| Max output | 32K | 32K |
| Parameters | 320B total, 18B active | 125B total, 6B active |
| Released | 26 Aug 2026 | 26 Aug 2026 |
| Model ID | zai-org/GLM-5.3-Flash | Qwen/Qwen3.8-Flash-Next |
| Category | Open-Weight Models | Open-Weight Models |
| Official | — | — |
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.
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.