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

Gemma 3n E4B
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.

Ministral 8B Instruct
Mistral AI
Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Ministral 8B Instruct
Mistral AI
2024-10-16

Gemma 3n E4B
2025-06-26
8 months newer
Performance Metrics
Context window and performance specifications

Gemma 3n E4B

Ministral 8B Instruct
Average performance across 3 common benchmarks

Gemma 3n E4B

Ministral 8B Instruct
Performance comparison across key benchmark categories

Gemma 3n E4B

Ministral 8B Instruct
Gemma 3n E4B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B

Ministral 8B Instruct
Mistral AI

Gemma 3n E4B

Ministral 8B Instruct