MODEL COMPARISON
GLM-5.3 vs Kimi-K2-Instruct
Kimi-K2-Instruct needs less memory: about 747 GB versus about 964 GB for GLM-5.3, a difference of 217 GB. GLM-5.3 has no runtime listed as in release. Kimi-K2-Instruct has no runtime listed as in release.
SIDE BY SIDE
| Compare | GLM-5.3 | Kimi-K2-Instruct |
|---|---|---|
| Memory needed | about 964 GB · More than 128 GB (server / multi-GPU) | about 747 GB · More than 128 GB (server / multi-GPU) |
| Recommended quant | Q8_0 · 801.4 GB | Q4_K_M · 620.8 GB |
| llama.cpp support | Architecture listedChecked 22 Oct 2026 | Architecture listedChecked 22 Oct 2026 |
| Ollama support | UnknownVersion v0.40.8 · Checked 22 Oct 2026 | UnknownVersion v0.40.8 · Checked 22 Oct 2026 |
| LM Studio support | UnknownChecked 22 Oct 2026 | UnknownChecked 22 Oct 2026 |
| MLX / mlx-lm support | Architecture listedChecked 22 Oct 2026 | Upload availableChecked 22 Oct 2026 |
| vLLM support | Architecture listedChecked 22 Oct 2026 | Architecture listedChecked 22 Oct 2026 |
| On Hugging Face since | 25 Aug 2026 | 11 Jul 2025 |
| License | Not recorded in this snapshot — see the model card ↗ | Not recorded in this snapshot — see the model card ↗ |
| Publisher | zai-org | moonshotai |
| Downloads | 1.9M | 361.3K |
| Model page | Open GLM-5.3 ↗ | Open Kimi-K2-Instruct ↗ |
| Fits these setups |
|
|
Memory needed is the same estimate shown on each model page: the recommended observed file plus 20% headroom and a 1.5 GB runtime allowance. See which setups fit →
These are estimates from observed file sizes, not benchmarks. They don’t account for long contexts or the KV cache, and fitting does not establish runtime compatibility or speed.