Model Comparison

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

Google

Gemma 3n E2B

Google

Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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

Mistral Small 3.2 24B Instruct

Mistral AI

Mistral Small 3.2 24B Instruct is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 69.8% across 15 benchmarks. It excels particularly in DocVQA (94.9%), AI2D (92.9%), HumanEval Plus (92.9%). The model shows particular specialization in code tasks with an average performance of 85.6%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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

Mistral Small 3.2 24B Instruct

Mistral AI

2025-06-20

Google

Gemma 3n E2B

Google

2025-06-26

6 days newer

Performance comparison across key benchmark categories

Google

Gemma 3n E2B

general
54.1%
Mistral AI

Mistral Small 3.2 24B Instruct

general
+10.5%
64.6%
Knowledge Cutoff
Training data recency comparison

Mistral Small 3.2 24B Instruct

2023-10-01

Gemma 3n E2B

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 3n E2B

0 providers
Mistral AI

Mistral Small 3.2 24B Instruct

0 providers
Google

Gemma 3n E2B

Avg Score:0.0%
Providers:0
Mistral AI

Mistral Small 3.2 24B Instruct

Avg Score:0.0%
Providers:0