Model Comparison

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

Gemma 3n E2B Instructed

Google

Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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.

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.

Magistral Small 2506

Mistral AI

2025-06-10

Gemma 3n E2B Instructed

Google

2025-06-26

16 days newer

Average performance across 3 common benchmarks

Gemma 3n E2B Instructed

Average Score:14.9%

Magistral Small 2506

+45.8%

Average Score:60.7%

Performance comparison across key benchmark categories

Gemma 3n E2B Instructed

general

32.8%

code

33.2%

Magistral Small 2506

general

+34.4%

67.2%

code

+18.1%

51.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

Gemma 3n E2B Instructed

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

Gemma 3n E2B Instructed

0 providers

Magistral Small 2506

0 providers

Gemma 3n E2B Instructed

Avg Score:14.9%

Providers:0

Magistral Small 2506

+45.8%

Avg Score:60.7%

Providers:0