Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 44.0% higher average benchmark score. Gemini 1.5 Pro offers 2.0M more tokens in context window than Grok-2. Both models have similar pricing. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, 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.
3 months newer
Gemini 1.5 Pro
2024-05-01
Grok-2
xAI
2024-08-13
Cost per million tokens (USD)
Gemini 1.5 Pro
Grok-2
Context window and performance specifications
Average performance across 24 common benchmarks
Gemini 1.5 Pro
Grok-2
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics
Gemini 1.5 Pro
Grok-2
Gemini 1.5 Pro
Grok-2
Gemini 1.5 Pro
Grok-2
xAI