GLM-4.7 Flash
GLM-4.7 Flash is Zhipu AI's language model with a 203K context window and up to 131K output tokens, available from 4 providers, starting at $0.0605 / 1M input and $0.4 / 1M output. A lightweight 30B-A3B MoE model from Z AI that balances strong performance with efficiency, optimized for fast inference and agentic tasks.
Capabilities
Input2/5
Text✓
Image✓
Audio·
Video·
PDF·
Output1/5
Text✓
Image·
Audio·
Video·
Embedding·
Capabilities5/13
Reasoning✓
Adaptive Reasoning·
Function Calling✓
Parallel Function Calling·
Structured Outputs✓
Native JSON Schema✓
Web Search·
URL Context·
Computer Use·
Code Execution·
File Search·
Prompt Caching✓
Assistant Prefill·
Pricing by Provider
US Dollar ($)
Per 1M tokens
| Provider | Standard | Batch | Flex | Priority | ||||
|---|---|---|---|---|---|---|---|---|
| Input $ / 1M | Output $ / 1M | Input $ / 1M | Output $ / 1M | Input $ / 1M | Output $ / 1M | Input $ / 1M | Output $ / 1M | |
| $0.07 | $0.4 | $0.035 | $0.2 | $0.035 | $0.2 | $0.122 | $0.7 | |
| $0.07 | $0.4 | — | — | — | — | — | — | |
| $0.0605 | $0.4 | — | — | — | — | — | — | |
| $0.07 | $0.4 | — | — | — | — | — | — | |
Cost Calculator
US Dollar ($)
Preset:
Cheapest Instances to Run It
Cloud GPU instances that can host GLM-4.7 Flash, ranked by cheapest on-demand price. The model needs about 75 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_NP20s |  Azure | 2× AMD Alveo U250 FPGA (64GB) | 128 GB | $3.30/hr | westus2 | |
| g7e.2xlarge |  AWS | RTX PRO Server 6000 | 96 GB | $3.36/hr | us-east-1 | |
| Standard_NC24ads_A100_v4 | Azure | NVIDIA A100 | 80 GB | $3.67/hr | westus2 | |