GLM-4.6V
GLM-4.6V is Zhipu AI's language model with a 131K context window and up to 33K output tokens, available from 4 providers, starting at $0.3 / 1M input and $0.9 / 1M output. A multimodal MoE vision-language model from Z AI in the GLM-V family, supporting vision, file input, and scalable reinforcement learning-based reasoning.
Capabilities
Input4/5
Text✓
Image✓
Audio·
Video✓
PDF✓
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities6/13
Reasoning✓
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling✓
Structured Outputs✓
Native JSON Schema✓
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching✓
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | ||
|---|---|---|---|
| Input $ / 1M | Output $ / 1M | Cache Read $ / 1M | |
| $0.3 | $0.9 | N/A | |
| $0.3 | $0.9 | $0.055 | |
| $0.3 | $0.9 | $0.055 | |
| $0.3 | $0.9 | $0.05 | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host GLM-4.6V, ranked by cheapest on-demand price. The model needs about 259 GB of GPU memory at FP16 precision (estimated from its parameter count), so treat the fit as guidance rather than a guarantee.
All clouds
FP16 (full precision)
US Dollar ($)
Instance | Cloud | GPU | VRAM | Price | Cheapest region | |
|---|---|---|---|---|---|---|
| Standard_NC96ads_A100_v4 |  Azure | 4× NVIDIA A100 | 320 GB | $14.69/hr | westus2 | |
| g7e.24xlarge |  AWS | 4× RTX PRO Server 6000 | 384 GB | $16.57/hr | us-east-1 | |
| p4d.24xlarge | AWS | 8× A100 | 320 GB | $21.96/hr | us-west-2 | |
Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| GLM-4.6V | 131K | $0.300 | $0.900 | Current | |
| GLM-4.5V | 131K | $0.600 | $1.20 | Deprecating |