GLM-5.2 vs Kimi K2.6
Comparing VRAM requirements, performance, and capabilities for running these models locally with Ollama.
Parameters
1000B
Context
256K
VRAM Range
360–604 GB
Recommended
Q2_K (360 GB)
ByMoonshot AI·LicenseModified MIT
VRAM Requirements by Quantization
Side-by-side memory needs at each quality level.
| Quantization | GLM-5.2 | Kimi K2.6 | Difference |
|---|---|---|---|
| Q4_K_M | 486 GB | 604 GB | -118.0 GB |
| Q8_0 | 821 GB | — | — |
Capabilities
Feature support comparison.
| Capability | GLM-5.2 | Kimi K2.6 |
|---|---|---|
| text generation | Yes | Yes |
| code generation | Yes | Yes |
| reasoning | Yes | Yes |
| multilingual | Yes | Yes |
| tool use | Yes | Yes |
| math | Yes | — |
| vision | — | Yes |
Benchmark Scores
Higher is better. Scores from published evaluations.
| Benchmark | GLM-5.2 | Kimi K2.6 |
|---|---|---|
| swe-bench-pro | 62.1 | 58.6 |
| gpqa-diamond | 91.2 | — |
| swe-bench-verified | — | 80.2 |
Hardware Compatibility
Can each model run at recommended quantization on common VRAM tiers?
| VRAM | GLM-5.2 | Kimi K2.6 |
|---|---|---|
| 8 GB | No | No |
| 12 GB | No | No |
| 16 GB | No | No |
| 24 GB | No | No |
| 32 GB | No | No |
| 48 GB | No | No |
| 64 GB | No | No |
| 96 GB | No | No |
Run GLM-5.2
ollama run glm-5.2:cloudRun Kimi K2.6
ollama run kimi-k2.6:cloudCheck your exact hardware
Use the compatibility checker to see how each model performs on your specific GPU or Mac.