🚀 Website under development • Launching soon

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-4.5-Air

Zhipu AI

GLM-4.5-Air is a language model developed by Zhipu AI. It achieves strong performance with an average score of 60.8% across 14 benchmarks. It excels particularly in MATH-500 (98.1%), AIME 2024 (89.4%), MMLU-Pro (81.4%). 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-4.5-Air

Zhipu AI

2025-07-28

18 days newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K

GLM-4.5-Air

Max Context:-
Parameters:106.0B

Average performance across 1 common benchmarks

Mistral AI

Devstral Medium

+4.0%
Average Score:61.6%

GLM-4.5-Air

Average Score:57.6%

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
61.6%

GLM-4.5-Air

general
+14.4%
76.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

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-4.5-Air

0 providers
Mistral AI

Devstral Medium

+4.0%
Avg Score:61.6%
Providers:1

GLM-4.5-Air

Avg Score:57.6%
Providers:0