Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 2.5 Pro
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 67.1% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). The model shows particular specialization in vision tasks with an average performance of 82.2%. 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.

Grok-1.5
xAI
Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). Released in 2024, it represents xAI's latest advancement in AI technology.

Grok-1.5
xAI
2024-03-28

Gemini 2.5 Pro
2025-05-20
1 year newer
Performance Metrics
Context window and performance specifications

Gemini 2.5 Pro

Grok-1.5
Average performance across 2 common benchmarks

Gemini 2.5 Pro

Grok-1.5
Performance comparison across key benchmark categories

Gemini 2.5 Pro

Grok-1.5
Gemini 2.5 Pro
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Pro

Grok-1.5

Gemini 2.5 Pro

Grok-1.5