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.

Grok-3
xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2024 (93.3%), AIME 2025 (93.3%), GPQA (84.6%). The model shows particular specialization in general tasks with an average performance of 90.4%. 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. Released in 2025, it represents xAI's latest advancement in AI technology.

Grok-3
xAI
2025-02-17

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

Gemma 3n E4B Instructed LiteRT Preview

Grok-3
Average performance across 3 common benchmarks

Gemma 3n E4B Instructed LiteRT Preview

Grok-3
Performance comparison across key benchmark categories

Gemma 3n E4B Instructed LiteRT Preview

Grok-3
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Grok-3
2024-11-17
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3n E4B Instructed LiteRT Preview

Grok-3
xAI

Gemma 3n E4B Instructed LiteRT Preview

Grok-3