Comprehensive side-by-side LLM comparison
Grok 4 Fast leads with 71.0% higher average benchmark score. Overall, Grok 4 Fast is the stronger choice for coding tasks.
Gemma 3N E2B IT LiteRT Preview was introduced as an experimental version optimized for LiteRT deployment, designed to push the boundaries of on-device AI. Built to demonstrate the potential of running instruction-tuned models on mobile and edge devices, it represents ongoing efforts to make AI more accessible across hardware platforms.
xAI
Grok 4 Fast is a multimodal language model developed by xAI. It achieves strong performance with an average score of 73.0% across 7 benchmarks. It excels particularly in SimpleQA (95.0%), HMMT 2025 (93.3%), AIME 2025 (92.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. 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

Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20

Grok 4 Fast
xAI
2025-08-28
Context window and performance specifications
Average performance across 3 common benchmarks

Gemma 3n E2B Instructed LiteRT (Preview)

Grok 4 Fast
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Available providers and their performance metrics

Gemma 3n E2B Instructed LiteRT (Preview)

Grok 4 Fast
xAI

Gemma 3n E2B Instructed LiteRT (Preview)

Grok 4 Fast

Gemma 3n E2B Instructed LiteRT (Preview)

Grok 4 Fast