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

Ministral 8B Instruct

Mistral AI

Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Mistral AI

Ministral 8B Instruct

Mistral AI

2024-10-16

GLM-4.5V

Zhipu AI

2025-08-11

9 months newer

Pricing Comparison

Cost per million tokens (USD)

GLM-4.5V

Input:$0.60
Output:$2.20
Mistral AI

Ministral 8B Instruct

$2.60 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

GLM-4.5V

Max Context:196.6K
Parameters:108.0B
Mistral AI

Ministral 8B Instruct

Larger context
Max Context:256.0K
Parameters:8.0B

Average performance across 11 common benchmarks

GLM-4.5V

Average Score:0.0%
Mistral AI

Ministral 8B Instruct

+63.3%
Average Score:63.3%

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

Ministral 8B Instruct

1 providers

Mistral AI

Throughput: 0.1 tok/s
Latency: 0.18ms

GLM-4.5V

Avg Score:0.0%
Providers:2
Mistral AI

Ministral 8B Instruct

+63.3%
Avg Score:63.3%
Providers:1