GLM 4.5V vs Mistral Small 3.2 24B
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 Small 3.2 24B.
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 Small 3.2 24B
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
Technical Specifications
| Specification | GLM 4.5V | Mistral Small 3.2 24B |
|---|---|---|
| Provider | Zhipu AI | Mistral |
| Context Window | 65,536 tokens | 128,000 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 | 2025-06-20 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.5V
$0.60
Mistral Small 3.2 24B
$0.07
Output Price per Million Tokens
GLM 4.5V
$1.80
Mistral Small 3.2 24B
$0.20
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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 Small 3.2 24B Quirks & Gotchas
No developer gotchas reported.