Kimi K3 vs GLM-5.2 753B
Side-by-side VRAM requirements, benchmark scores, and GPU compatibility for local AI inference.
Quick verdict
GLM-5.2 753B is more hardware-efficient — it needs 525.3 GB at Q4_K_M vs 1910.3 GB for Kimi K3, fitting on 3 GPUs natively.
VRAM at each quantization (8k context)
FP32
Kimi K3
12544.5 GB
GLM-5.2 753B
3385.2 GB
BF16
Kimi K3
6272.5 GB
GLM-5.2 753B
1698.4 GB
FP16
Kimi K3
6272.5 GB
GLM-5.2 753B
1698.4 GB
Q8_0
Kimi K3
3334.0 GB
GLM-5.2 753B
908.2 GB
Q6_K
Kimi K3
2575.1 GB
GLM-5.2 753B
704.1 GB
Q5_K_M
Kimi K3
2233.3 GB
GLM-5.2 753B
612.2 GB
Q4_K_M
Kimi K3
1910.3 GB
GLM-5.2 753B
525.3 GB
Q3_K_M
Kimi K3
1508.9 GB
GLM-5.2 753B
417.4 GB
Q2_K
Kimi K3
1195.3 GB
GLM-5.2 753B
333.0 GB
NVFP4
Kimi K3
1568.5 GB
GLM-5.2 753B
433.4 GB
| Quant | Kimi K3 | GLM-5.2 753B | Diff |
|---|---|---|---|
| FP32 | 12544.5 GB | 3385.2 GB | +271% |
| BF16 | 6272.5 GB | 1698.4 GB | +269% |
| FP16 | 6272.5 GB | 1698.4 GB | +269% |
| Q8_0 | 3334.0 GB | 908.2 GB | +267% |
| Q6_K | 2575.1 GB | 704.1 GB | +266% |
| Q5_K_M | 2233.3 GB | 612.2 GB | +265% |
| Q4_K_M | 1910.3 GB | 525.3 GB | +264% |
| Q3_K_M | 1508.9 GB | 417.4 GB | +262% |
| Q2_K | 1195.3 GB | 333.0 GB | +259% |
| NVFP4 | 1568.5 GB | 433.4 GB | +262% |
Diff is Kimi K3 relative to GLM-5.2 753B. Green = lower VRAM (fits more GPUs).
Model specifications
| Spec | Kimi K3 | GLM-5.2 753B |
|---|---|---|
| Org | Moonshot AI | Z.ai |
| Parameters | 2800B | 753B |
| Architecture | MoE (104B active) | MoE (40B active) |
| Context | 1024k tokens | 977k tokens |
| Modalities | text, vision, video | text |
| License | Kimi K3 | MIT |
| Commercial | Yes | Yes |
| Released | 2026-07-16 | 2026-06-13 |
| GPUs (native) | 0 / 107 | 3 / 107 |
Benchmark scores
| Benchmark | Kimi K3 | GLM-5.2 753B |
|---|---|---|
| GPQA Diamond | 93.5 | 91.2 |
| SWE-bench Verified | 76.8 | — |
| Terminal-Bench 2.1 | 88.3 | — |
| Arena ELO | 1486.0 | — |
Green = higher score (better). — = not yet available.
GPUs that run only Kimi K3(0)
Every GPU that runs Kimi K3 also runs GLM-5.2 753B.
GPUs that run only GLM-5.2 753B(3)
- Apple M4 Ultra (384GB)384 GB
- Apple M3 Ultra (512GB)512 GB
- Apple M2 Ultra (384GB)384 GB
Which should you use?
Choose Kimi K3 if:
- • You want maximum capability and have a 1911 GB+ GPU
- • Long context matters — it supports 1024k tokens vs 977k
- • You need vision/image understanding
Choose GLM-5.2 753B if:
- • You have limited VRAM — it's a smaller model needing 525.3 GB vs 1910.3 GB
Frequently asked questions
- Which is better, Kimi K3 or GLM-5.2 753B?
- Kimi K3 has 2800B parameters vs 753B for GLM-5.2 753B, so Kimi K3 is the larger model. GLM-5.2 753B is more hardware-efficient, needing 525.3 GB at Q4_K_M vs 1910.3 GB. GLM-5.2 753B runs on more GPUs natively (3 vs 0).
- How much VRAM does Kimi K3 need vs GLM-5.2 753B?
- At Q4_K_M quantization with 8k context, Kimi K3 needs approximately 1910.3 GB of VRAM, while GLM-5.2 753B needs 525.3 GB. At FP16, Kimi K3 requires 6272.5 GB vs 1698.4 GB for GLM-5.2 753B.
- Can you run Kimi K3 on the same GPUs as GLM-5.2 753B?
- These models have very different VRAM requirements, so they do not share the same compatible GPU set.
- What is the difference between Kimi K3 and GLM-5.2 753B?
- Kimi K3 has 2800B parameters (104B active, MoE) with a 1024k context window. GLM-5.2 753B has 753B parameters (40B active, MoE) with a 977k context window. Licensing differs: Kimi K3 is Kimi K3 while GLM-5.2 753B is MIT.
- Which model fits in 24 GB of VRAM, Kimi K3 or GLM-5.2 753B?
- Neither fits in 24 GB at Q4_K_M — Kimi K3 needs 1910.3 GB and GLM-5.2 753B needs 525.3 GB. Both require at least a 48 GB GPU.