Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

GLM-4.5V

Zhipu AI

GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.

Mistral AI

Mistral Small 3.1 24B Instruct

Mistral AI

Mistral Small 3.1 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 64.0% across 9 benchmarks. It excels particularly in HumanEval (88.4%), MMLU (80.6%), TriviaQA (80.5%). The model shows particular specialization in code tasks with an average performance of 81.6%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Mistral Small 3.1 24B Instruct

Mistral AI

2025-03-17

GLM-4.5V

Zhipu AI

2025-08-11

4 months newer

Performance Metrics

Context window and performance specifications

GLM-4.5V

Larger context
Max Context:196.6K
Parameters:108.0B
Mistral AI

Mistral Small 3.1 24B Instruct

Max Context:-
Parameters:24.0B

Average performance across 9 common benchmarks

GLM-4.5V

Average Score:0.0%
Mistral AI

Mistral Small 3.1 24B Instruct

+64.0%
Average Score:64.0%

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5V

2 providers

Novita

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
Mistral AI

Mistral Small 3.1 24B Instruct

0 providers

GLM-4.5V

Avg Score:0.0%
Providers:2
Mistral AI

Mistral Small 3.1 24B Instruct

+64.0%
Avg Score:64.0%
Providers:0