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

Gemini 2.0 Flash
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 2024, 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 2.0 Flash
2024-12-01
7 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash

Grok-1.5V
Average performance across 1 common benchmarks

Gemini 2.0 Flash

Grok-1.5V
Performance comparison across key benchmark categories

Gemini 2.0 Flash

Grok-1.5V
Gemini 2.0 Flash
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash

Grok-1.5V

Gemini 2.0 Flash

Grok-1.5V