Model Comparison

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

Google

Gemma 2 27B

Google

Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

Mistral AI

Magistral Small 2506

Mistral AI

Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). 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.

Google

Gemma 2 27B

Google

2024-06-27

Mistral AI

Magistral Small 2506

Mistral AI

2025-06-10

11 months newer

Performance comparison across key benchmark categories

Google

Gemma 2 27B

general
+2.8%
70.0%
code
+5.2%
56.5%
Mistral AI

Magistral Small 2506

general
67.2%
code
51.3%
Knowledge Cutoff
Training data recency comparison

Magistral Small 2506

2025-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 27B

0 providers
Mistral AI

Magistral Small 2506

0 providers
Google

Gemma 2 27B

Avg Score:0.0%
Providers:0
Mistral AI

Magistral Small 2506

Avg Score:0.0%
Providers:0