Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 26.7% higher average benchmark score. 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-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 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). 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
xAI
2025-02-17
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Context window and performance specifications
Average performance across 30 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
Grok-3
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Grok-3
2024-11-17
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
Grok-3
xAI
Gemma 3n E2B Instructed LiteRT (Preview)
Grok-3
Gemma 3n E2B Instructed LiteRT (Preview)
Grok-3