GLM-5.2 753B vs GLM-5.1 754B
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 486.5 GB at Q4_K_M vs 487.2 GB for GLM-5.1 754B, fitting on 3 GPUs natively.
VRAM at each quantization (8k context)
FP32
GLM-5.2 753B
3385.2 GB
GLM-5.1 754B
3389.6 GB
BF16
GLM-5.2 753B
1698.4 GB
GLM-5.1 754B
1700.7 GB
FP16
GLM-5.2 753B
1698.4 GB
GLM-5.1 754B
1700.7 GB
Q8_0
GLM-5.2 753B
855.1 GB
GLM-5.1 754B
856.2 GB
Q6_K
GLM-5.2 753B
703.3 GB
GLM-5.1 754B
704.2 GB
Q5_K_M
GLM-5.2 753B
554.8 GB
GLM-5.1 754B
555.6 GB
Q4_K_M
GLM-5.2 753B
486.5 GB
GLM-5.1 754B
487.2 GB
Q3_K_M
GLM-5.2 753B
374.4 GB
GLM-5.1 754B
374.9 GB
Q2_K
GLM-5.2 753B
289.2 GB
GLM-5.1 754B
289.6 GB
NVFP4
GLM-5.2 753B
433.4 GB
GLM-5.1 754B
434.0 GB
| Quant | GLM-5.2 753B | GLM-5.1 754B | Diff |
|---|---|---|---|
| FP32 | 3385.2 GB | 3389.6 GB | -0% |
| BF16 | 1698.4 GB | 1700.7 GB | -0% |
| FP16 | 1698.4 GB | 1700.7 GB | -0% |
| Q8_0 | 855.1 GB | 856.2 GB | -0% |
| Q6_K | 703.3 GB | 704.2 GB | -0% |
| Q5_K_M | 554.8 GB | 555.6 GB | -0% |
| Q4_K_M | 486.5 GB | 487.2 GB | -0% |
| Q3_K_M | 374.4 GB | 374.9 GB | -0% |
| Q2_K | 289.2 GB | 289.6 GB | -0% |
| NVFP4 | 433.4 GB | 434.0 GB | -0% |
Diff is GLM-5.2 753B relative to GLM-5.1 754B. Green = lower VRAM (fits more GPUs).
Model specifications
| Spec | GLM-5.2 753B | GLM-5.1 754B |
|---|---|---|
| Org | Z.ai | Z.ai |
| Parameters | 753B | 754B |
| Architecture | MoE (40B active) | MoE (44B active) |
| Context | 977k tokens | 198k tokens |
| Modalities | text | text |
| License | MIT | MIT |
| Commercial | Yes | Yes |
| Released | 2026-06-13 | 2026-04-07 |
| GPUs (native) | 3 / 107 | 3 / 107 |
Benchmark scores
| Benchmark | GLM-5.2 753B | GLM-5.1 754B |
|---|---|---|
| MMLU-Pro | 80.6 | 86.5 |
| GPQA Diamond | 91.2 | 86.2 |
Green = higher score (better). — = not yet available.
GPUs that run only GLM-5.2 753B(0)
Every GPU that runs GLM-5.2 753B also runs GLM-5.1 754B.
GPUs that run only GLM-5.1 754B(0)
Every GPU that runs GLM-5.1 754B also runs GLM-5.2 753B.
GPUs that run both natively(3)
- Apple M4 Ultra (384GB)384 GB
- Apple M3 Ultra (512GB)512 GB
- Apple M2 Ultra (384GB)384 GB
Which should you use?
Choose GLM-5.2 753B if:
- • You have limited VRAM — it's a smaller model needing 486.5 GB vs 487.2 GB
- • Long context matters — it supports 977k tokens vs 198k
Choose GLM-5.1 754B if:
- • You want maximum capability and have a 488 GB+ GPU
- • Benchmark quality matters — scores 86.5 vs 80.6 on MMLU-Pro
Frequently asked questions
- Which is better, GLM-5.2 753B or GLM-5.1 754B?
- GLM-5.2 753B has 753B parameters vs 754B for GLM-5.1 754B, so GLM-5.1 754B is the larger model. GLM-5.2 753B is more hardware-efficient, needing 486.5 GB at Q4_K_M vs 487.2 GB. On MMLU-Pro, GLM-5.1 754B scores higher (86.5 vs 80.6).
- How much VRAM does GLM-5.2 753B need vs GLM-5.1 754B?
- At Q4_K_M quantization with 8k context, GLM-5.2 753B needs approximately 486.5 GB of VRAM, while GLM-5.1 754B needs 487.2 GB. At FP16, GLM-5.2 753B requires 1698.4 GB vs 1700.7 GB for GLM-5.1 754B.
- Can you run GLM-5.2 753B on the same GPUs as GLM-5.1 754B?
- Yes, 3 GPUs can run both natively in VRAM, including Apple M4 Ultra (384GB), Apple M3 Ultra (512GB), Apple M2 Ultra (384GB). However, no GPU can run GLM-5.2 753B without also fitting GLM-5.1 754B, and no GPU can run GLM-5.1 754B without also fitting GLM-5.2 753B.
- What is the difference between GLM-5.2 753B and GLM-5.1 754B?
- GLM-5.2 753B has 753B parameters (40B active, MoE) with a 977k context window. GLM-5.1 754B has 754B parameters (44B active, MoE) with a 198k context window.
- Which model fits in 24 GB of VRAM, GLM-5.2 753B or GLM-5.1 754B?
- Neither fits in 24 GB at Q4_K_M — GLM-5.2 753B needs 486.5 GB and GLM-5.1 754B needs 487.2 GB. Both require at least a 48 GB GPU.