GLM-4.5-Air
π Join our Discord community. π Check out the GLM-4.5 technical blog, technical report, and Zhipu AI technical documentation. π Use GLM-4.5 API services on Z.ai API Platform (Global) or Zhipu AI Open Platform (Mainland China). π One click to GLM-4.5.
Params
110.5 B
Context
131,072
Downloads 30d
818 K
Likes
646
Download history
daily snapshots Β· 88 days
β² 634 K in the last 30 days (344.6%)
818 K184 K
Sep 24Oct 4Oct 14Oct 23
818 K184 K
Jul 28Aug 26Sep 24Oct 23
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 | 220.9 GB | 260.1 GB | β Wonβt fit |
| model.safetensors (bf16, full) | bf16 + 128K ctx | 220.9 GB | 508.7 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-4-5-air
{
"hf_id": "zai-org/GLM-4.5-Air",
"params_b": 110.47,
"context_length": 131072,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 817559,
"vram_estimates": [
{ "quant": "bf16", "gb": 260.1 }
],
"updated_at": "2026-07-28T18:05:17Z"
}
Use via API
via OpenRouter Β· USD per 1M tokens Β· synced 2026-10-23$0.13
input / 1M
$0.85
output / 1M
$0.025
cached input / 1M
$0.98
1M in + 1M out
- Context window
- 131,072 tokens
- Max output
- 98,304 tokens
- Providers
- 3
- Cheapest provider
- Novita Β· $0.13 / $0.85
- Best throughput
- β
- AA Intelligence / Coding / Agentic
- 11.1 / β / β
β Tool calling
β Reasoning
β Structured outputs
β Image input
β File input
β Audio input
β Prompt caching
Specifications
- Architecture
- Glm4MoeForCausalLM
- Parameters
- 110.5 B
- Tensor type
- BF16
- Context length
- 131,072
- Vocabulary
- 151,552
- Layers / heads
- 46 / 96
- Licence
- mit
- First seen on the Hub
- 2025-07-20
- 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
Popular comparisons
Appears in