GLM 4.5V vs Mistral Nemo
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 Mistral Nemo.
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,...
Mistral Nemo
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
Technical Specifications
| Specification | GLM 4.5V | Mistral Nemo |
|---|---|---|
| Provider | Zhipu AI | Mistral |
| 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 | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-08-11 | 2024-07-19 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.5V
$0.60
Mistral Nemo
$0.02
Output Price per Million Tokens
GLM 4.5V
$1.80
Mistral Nemo
$0.03
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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.
Mistral Nemo Quirks & Gotchas
No developer gotchas reported.