Updated minutes ago
GLM-4 9B
Zhipu AI · dense · 9.4B parameters · 131,072 context
Quality50.0
Architecture Details
TypeDENSE
Total Parameters9.4B
Active Parameters9.4B
Layers40
Hidden Dimension4,096
Attention Heads32
KV Heads2
Head Dimension128
Vocab Size151,552
Memory Requirements
BF16 Weights
18.8 GB
FP8 Weights
9.4 GB
INT4 Weights
4.7 GB
KV-Cache per Token40960 bytes
Activation Estimate1.00 GB
Fits on (single-node)
B200 SXM BF16B100 SXM BF16GB200 NVL72 (per GPU) BF16GB300 NVL72 (per GPU) BF16H200 SXM BF16H100 SXM BF16H100 PCIe BF16H100 NVL BF16
GPU Recommendations
A100 40GB SXMoptimal
BF16 · 1 GPU · vllm
95/100
score
Throughput
446.6 tok/s
Cost/Month
$807
Cost/M Tokens
$0.69
RTX 5090optimal
BF16 · 1 GPU · vllm
95/100
score
Throughput
514.7 tok/s
Cost/Month
$845
Cost/M Tokens
$0.62
A100 40GB PCIeoptimal
BF16 · 1 GPU · vllm
95/100
score
Throughput
446.6 tok/s
Cost/Month
$655
Cost/M Tokens
$0.56
API Pricing Comparison
| Provider | Input $/M | Output $/M | Badges |
|---|---|---|---|
| zhipu | $0.15 | $0.15 | Cheapest |
Capabilities
Features
✓ Tool Use✗ Vision✓ Code✓ Math✗ Reasoning✓ Multilingual✓ Structured Output
Supported Frameworks
vllmsglangtgiollama
Supported Precisions
BF16 (default)FP8INT4