Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro Preview 06-05 leads with 14.9% higher average benchmark score. Gemini 2.5 Pro Preview 06-05 offers 978.1K more tokens in context window than Grok-2. Gemini 2.5 Pro Preview 06-05 is $0.75 cheaper per million tokens. Overall, Gemini 2.5 Pro Preview 06-05 is the stronger choice for coding tasks.
Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). With a 1.1M 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 Google's latest advancement in AI technology.
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). 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 2024, it represents xAI's latest advancement in AI technology.
9 months newer
Grok-2
xAI
2024-08-13
Gemini 2.5 Pro Preview 06-05
2025-06-05
Cost per million tokens (USD)
Gemini 2.5 Pro Preview 06-05
Grok-2
Context window and performance specifications
Average performance across 19 common benchmarks
Gemini 2.5 Pro Preview 06-05
Grok-2
Gemini 2.5 Pro Preview 06-05
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro Preview 06-05
Grok-2
Gemini 2.5 Pro Preview 06-05
Grok-2
Gemini 2.5 Pro Preview 06-05
Grok-2
xAI