Model Comparison

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

Mistral AI

Devstral Medium

Mistral AI

Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

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

Devstral Medium

Mistral AI

2025-07-10

GLM-4.5V

Zhipu AI

2025-08-11

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Mistral AI

Devstral Medium

$0.40 cheaper
Input:$0.40
Output:$2.00

GLM-4.5V

Input:$0.60
Output:$2.20

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K

GLM-4.5V

Max Context:196.6K
Parameters:108.0B

Average performance across 1 common benchmarks

Mistral AI

Devstral Medium

+61.6%
Average Score:61.6%

GLM-4.5V

Average Score:0.0%

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Devstral Medium

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms

GLM-4.5V

2 providers

Novita

ZeroEval

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

Devstral Medium

+61.6%
Avg Score:61.6%
Providers:1

GLM-4.5V

Avg Score:0.0%
Providers:2