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

Gemma 3n E4B Instructed LiteRT Preview
Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Pixtral-12B
Mistral AI
Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). The model shows particular specialization in general tasks with an average performance of 75.5%. It supports a 136K token context window for handling large documents. The model is available through 1 API provider. 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 2024, it represents Mistral AI's latest advancement in AI technology.

Pixtral-12B
Mistral AI
2024-09-17

Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
8 months newer
Performance Metrics
Context window and performance specifications

Gemma 3n E4B Instructed LiteRT Preview

Pixtral-12B
Average performance across 2 common benchmarks

Gemma 3n E4B Instructed LiteRT Preview

Pixtral-12B
Performance comparison across key benchmark categories

Gemma 3n E4B Instructed LiteRT Preview

Pixtral-12B
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B Instructed LiteRT Preview

Pixtral-12B
Mistral AI

Gemma 3n E4B Instructed LiteRT Preview

Pixtral-12B