GLM-5.3
GLM-5.3 uses the same base model as GLM-5.2 — every gain comes from post-training. Compared with GLM-5.2, it is much better at complex coding and long-horizon tasks:
Params
753.3 B
Context
1,048,576
Downloads 30d
947 K
Likes
1,886
Download history
daily snapshots · 16 days947 K304 K
Sep 5Sep 10Sep 15Sep 20
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f8_e4m3 | 755.6 GB | 944.7 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 1024K ctx | 755.6 GB | 15,295.6 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ curl -s https://aimodelscomparison.com/api/v1/models/glm-5-3
{
"hf_id": "zai-org/GLM-5.3",
"params_b": 753.33,
"context_length": 1048576,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 947261,
"vram_estimates": [
{ "quant": "f8_e4m3", "gb": 944.7 }
],
"updated_at": "2026-09-05T01:00:17Z"
}
Specifications
- Architecture
- GlmMoeDsaForCausalLM
- Parameters
- 753.3 B
- Tensor type
- F8_E4M3
- Context length
- 1,048,576
- Vocabulary
- 154,880
- Layers / heads
- 78 / 64
- Licence
- other
- First seen on the Hub
- 2026-08-25
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-05
Family
Base model and the most-downloaded derivatives in the catalog.
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