GLM-4.7
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Params
358.3 B
Context
202,752
Downloads 30d
81 K
Likes
2,072
Download history
tracking started — chart appears after 7 days of snapshots (5 recorded)81 K downloads in the last 30 days
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 | bf16 | 716.7 GB | 842.6 GB | ❌ Won’t fit |
| model.safetensors (bf16, full) | bf16 + 198K ctx | 716.7 GB | 2,119.2 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-4-7
{
"hf_id": "zai-org/GLM-4.7",
"params_b": 358.34,
"context_length": 202752,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 80924,
"vram_estimates": [
{ "quant": "bf16", "gb": 842.6 }
],
"updated_at": "2026-10-19T06:03:05Z"
}
Use via API
via OpenRouter · USD per 1M tokens · synced 2026-10-24$0.54
input / 1M
$1.98
output / 1M
$0.099
cached input / 1M
$2.52
1M in + 1M out
- Context window
- 204,800 tokens
- Max output
- 131,072 tokens
- Providers
- 6
- Cheapest provider
- DeepInfra · $0.32 / $1.40
- Best throughput
- —
- AA Intelligence / Coding / Agentic
- 22.2 / 45.3 / —
✓ Tool calling
✓ Reasoning
✓ Structured outputs
✗ Image input
✗ File input
✗ Audio input
✓ Prompt caching
Specifications
- Architecture
- Glm4MoeForCausalLM
- Parameters
- 358.3 B
- Tensor type
- BF16
- Context length
- 202,752
- Vocabulary
- 151,552
- Layers / heads
- 92 / 96
- Licence
- mit
- First seen on the Hub
- 2025-12-22
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-20
Compare with any text-generation model