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-1.5V
xAI
Grok-1.5V is a multimodal language model developed by xAI. It achieves strong performance with an average score of 71.9% across 7 benchmarks. It excels particularly in AI2D (88.3%), DocVQA (85.6%), TextVQA (78.1%). The model shows particular specialization in general tasks with an average performance of 77.7%. 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.

Grok-1.5V
xAI
2024-04-12

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

Gemini 2.5 Pro

Grok-1.5V
Average performance across 1 common benchmarks

Gemini 2.5 Pro

Grok-1.5V
Performance comparison across key benchmark categories

Gemini 2.5 Pro

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

Gemini 2.5 Pro

Grok-1.5V

Gemini 2.5 Pro

Grok-1.5V