GLM-5
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Params
753.9 B
Context
202,752
Downloads 30d
1.4 M
Likes
2,141
Download history
daily snapshots Β· 106 days
β² 805 K in the last 30 days (137.5%)
1.7 M627 K
Oct 12Oct 22Nov 1Nov 10
1.7 M157 K
Aug 13Sep 12Oct 12Nov 10
1.7 M157 K
Jul 28Sep 1Oct 6Nov 10
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 Β· 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 1,507.7 GB | 1,772.1 GB | β Wonβt fit |
| model.safetensors (bf16, full) | bf16 + 198K ctx | 1,507.7 GB | 4,457.7 GB | β Wonβt fit |
Estimate: file size Γ 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark β how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ curl -s https://aimodelscomparison.com/api/v1/models/glm-5
{
"hf_id": "zai-org/GLM-5",
"params_b": 753.86,
"context_length": 202752,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 1390848,
"vram_estimates": [
{ "quant": "bf16", "gb": 1772.1 }
],
"updated_at": "2026-09-28T01:00:15Z"
}
Use via API
via OpenRouter Β· USD per 1M tokens Β· synced 2026-11-10$1.00
input / 1M
$3.20
output / 1M
$0.20
cached input / 1M
$4.20
1M in + 1M out
- Context window
- 202,752 tokens
- Max output
- 131,072 tokens
- Providers
- 8
- Cheapest provider
- GMICloud Β· $0.60 / $1.92
- Best throughput
- β
- AA Intelligence / Coding / Agentic
- β / β / β
β Tool calling
β Reasoning
β Structured outputs
β Image input
β File input
β Audio input
β Prompt caching
Specifications
- Architecture
- GlmMoeDsaForCausalLM
- Parameters
- 753.9 B
- Tensor type
- BF16
- Context length
- 202,752
- Vocabulary
- 154,880
- Layers / heads
- 78 / 64
- Licence
- mit
- First seen on the Hub
- 2026-02-11
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model