Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 35.4% higher average benchmark score. Gemini 2.5 Pro offers 850.1K more tokens in context window than Grok-4. Gemini 2.5 Pro is $6.75 cheaper per million tokens. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 69.6% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 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
Gemini 2.5 Pro
2025-05-20
Grok-4
xAI
2025-07-09
Cost per million tokens (USD)
Gemini 2.5 Pro
Grok-4
Context window and performance specifications
Average performance across 19 common benchmarks
Gemini 2.5 Pro
Grok-4
Grok-4
2024-12-31
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
Grok-4
Gemini 2.5 Pro
Grok-4
Grok-4
xAI
ZeroEval