Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 44.9% higher average benchmark score. Gemini 2.5 Pro offers 978.1K more tokens in context window than Grok-3 Mini. Grok-3 Mini is $10.45 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-3 Mini is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 87.8% across 4 benchmarks. It excels particularly in AIME 2024 (95.8%), AIME 2025 (90.8%), GPQA (84.0%). 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.
3 months newer
Grok-3 Mini
xAI
2025-02-17
Gemini 2.5 Pro
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
Grok-3 Mini
Context window and performance specifications
Average performance across 17 common benchmarks
Gemini 2.5 Pro
Grok-3 Mini
Grok-3 Mini
2024-11-17
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Pro
ZeroEval
Gemini 2.5 Pro
Grok-3 Mini
Gemini 2.5 Pro
Grok-3 Mini
Grok-3 Mini
xAI