GLM 4.5V vs GLM 4.6V
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GLM 4.5V and GLM 4.6V.
GLM 4.5V
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...
GLM 4.6V
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...
Technical Specifications
| Specification | GLM 4.5V | GLM 4.6V |
|---|---|---|
| Provider | Zhipu AI | Zhipu AI |
| Context Window | 65,536 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-11 | 2025-12-08 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.5V
$0.60
GLM 4.6V
$0.30
Output Price per Million Tokens
GLM 4.5V
$1.80
GLM 4.6V
$0.90
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
GLM 4.5V Quirks & Gotchas
No developer gotchas reported.
GLM 4.6V Quirks & Gotchas
No developer gotchas reported.