Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 24.6% higher average benchmark score. Grok-4 is available on 2 providers. Overall, Gemma 3n E2B Instructed LiteRT (Preview) is the stronger choice for coding tasks.
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 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. 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-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. 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.
1 month newer
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Grok-4
xAI
2025-07-09
Context window and performance specifications
Average performance across 32 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
Grok-4
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Grok-4
2024-12-31
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
Grok-4
xAI
Gemma 3n E2B Instructed LiteRT (Preview)
Grok-4
Gemma 3n E2B Instructed LiteRT (Preview)
Grok-4
ZeroEval