Comprehensive side-by-side LLM comparison
Grok-4 leads with 24.3% higher average benchmark score. Grok-4 is available on 2 providers. Overall, Grok-4 is the stronger choice for coding tasks.
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
5 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Grok-4
xAI
2025-07-09
Context window and performance specifications
Average performance across 9 common benchmarks
Gemini 2.0 Flash Thinking
Grok-4
Gemini 2.0 Flash Thinking
2024-08-01
Grok-4
2024-12-31
Available providers and their performance metrics
Gemini 2.0 Flash Thinking
Grok-4
xAI
Gemini 2.0 Flash Thinking
Grok-4
Gemini 2.0 Flash Thinking
Grok-4
ZeroEval