Model Comparison

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

Google

Gemini 2.0 Flash Thinking

Google

Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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-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.

xAI

Grok-1.5V

xAI

2024-04-12

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

9 months newer

Average performance across 1 common benchmarks

Google

Gemini 2.0 Flash Thinking

+21.8%
Average Score:75.4%
xAI

Grok-1.5V

Average Score:53.6%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash Thinking

general
73.8%
vision
+3.0%
75.4%
xAI

Grok-1.5V

general
+4.0%
77.7%
vision
72.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash Thinking

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.0 Flash Thinking

0 providers
xAI

Grok-1.5V

0 providers
Google

Gemini 2.0 Flash Thinking

+21.8%
Avg Score:75.4%
Providers:0
xAI

Grok-1.5V

Avg Score:53.6%
Providers:0