Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 36.5% higher average benchmark score. Overall, Gemma 3n E4B Instructed LiteRT Preview is the stronger choice for coding tasks.
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.
xAI
Grok-3 Mini is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 87.8% across 4 benchmarks. It excels particularly in AIME 2024 (95.8%), AIME 2025 (90.8%), GPQA (84.0%). 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.
3 months newer
Grok-3 Mini
xAI
2025-02-17
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Context window and performance specifications
Average performance across 29 common benchmarks
Gemma 3n E4B Instructed LiteRT Preview
Grok-3 Mini
Gemma 3n E4B Instructed LiteRT Preview
2024-06-01
Grok-3 Mini
2024-11-17
Available providers and their performance metrics
Gemma 3n E4B Instructed LiteRT Preview
Grok-3 Mini
xAI
Gemma 3n E4B Instructed LiteRT Preview
Grok-3 Mini
Gemma 3n E4B Instructed LiteRT Preview
Grok-3 Mini