Model Comparison

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

Google

Gemma 3n E4B

Google

Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.

Mistral AI

Magistral Small 2506

Mistral AI

2025-06-10

Google

Gemma 3n E4B

Google

2025-06-26

16 days newer

Performance comparison across key benchmark categories

Google

Gemma 3n E4B

general
59.6%
Mistral AI

Magistral Small 2506

general
+7.6%
67.2%
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B

2024-06-01

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 3n E4B

0 providers
Mistral AI

Magistral Small 2506

0 providers
Google

Gemma 3n E4B

Avg Score:0.0%
Providers:0
Mistral AI

Magistral Small 2506

Avg Score:0.0%
Providers:0