Comprehensive side-by-side LLM comparison
Gemma 3 1B leads with 4.2% higher average benchmark score. Grok-4 supports multimodal inputs. Grok-4 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). 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.
3 months newer
Gemma 3 1B
2025-03-12
Grok-4
xAI
2025-07-09
Context window and performance specifications
Average performance across 23 common benchmarks
Gemma 3 1B
Grok-4
Grok-4
2024-12-31
Available providers and their performance metrics
Gemma 3 1B
Grok-4
xAI
Gemma 3 1B
Grok-4
Gemma 3 1B
Grok-4
ZeroEval