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

Magistral Medium

Mistral AI

Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). 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

Magistral Medium

Mistral AI

2025-06-10

GLM-4.5V

Zhipu AI

2025-08-11

2 months newer

Performance Metrics

Context window and performance specifications

GLM-4.5V

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

Magistral Medium

Max Context:-
Parameters:24.0B

Average performance across 6 common benchmarks

GLM-4.5V

Average Score:0.0%
Mistral AI

Magistral Medium

+52.6%
Average Score:52.6%
Knowledge Cutoff
Training data recency comparison

Magistral Medium

2025-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

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

Magistral Medium

0 providers

GLM-4.5V

Avg Score:0.0%
Providers:2
Mistral AI

Magistral Medium

+52.6%
Avg Score:52.6%
Providers:0