Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 47.7% higher average benchmark score. Gemini 1.5 Pro offers 2.0M more tokens in context window than Grok-3. Gemini 1.5 Pro is $5.50 cheaper per million tokens. 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-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). 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 2025, it represents xAI's latest advancement in AI technology.
9 months newer
Gemini 1.5 Pro
2024-05-01
Grok-3
xAI
2025-02-17
Cost per million tokens (USD)
Gemini 1.5 Pro
Grok-3
Context window and performance specifications
Average performance across 26 common benchmarks
Gemini 1.5 Pro
Grok-3
Gemini 1.5 Pro
2023-11-01
Grok-3
2024-11-17
Available providers and their performance metrics
Gemini 1.5 Pro
Grok-3
Gemini 1.5 Pro
Grok-3
Gemini 1.5 Pro
Grok-3
xAI