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.

Google

Gemma 2 9B

Google

Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

Google

Gemma 2 9B

Google

2024-06-27

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

1 year newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K
Google

Gemma 2 9B

Max Context:-
Parameters:9.2B

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
61.6%
Google

Gemma 2 9B

general
+4.8%
66.4%

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
Google

Gemma 2 9B

0 providers
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
Google

Gemma 2 9B

Avg Score:0.0%
Providers:0