GLM-5-FP8 vs Kimi-K2-Instruct
Specs, VRAM requirements and download trends — updated 6 August 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | GLM-5-FP8 | Kimi-K2-Instruct |
|---|---|---|
| Parameters | 753.9 B | 1,026.5 B |
| Architecture | GlmMoeDsaForCausalLM | DeepseekV3ForCausalLM |
| Context length | 202,752 | 131,072 |
| Licence | mit | other |
| Commercial use | Allowed | Unknown |
| Languages | 2 | — |
| Downloads 30d | 1,151,402 | 182,313 |
| Downloads all time | 12.2 M | 3.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2026-02-11 | 2025-07-11 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
1.3 M168 K
GLM-5-FP8
Kimi-K2-Instruct
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Kimi-K2-Instruct · fp16 @ 128K ctx
3,596.1 GB / 24 GB
GLM-5-FP8 · fp16 @ 198K ctx
3,631.2 GB / 24 GB