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-2 mini

xAI

Grok-2 mini is a multimodal language model developed by xAI. It achieves strong performance with an average score of 74.0% across 8 benchmarks. It excels particularly in DocVQA (93.2%), MMLU (86.2%), HumanEval (85.7%). 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-2 mini

xAI

2024-08-13

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

5 months newer

Average performance across 2 common benchmarks

Google

Gemini 2.0 Flash Thinking

+17.7%
Average Score:74.8%
xAI

Grok-2 mini

Average Score:57.1%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash Thinking

vision
75.4%
general
+4.0%
73.8%
xAI

Grok-2 mini

vision
+2.8%
78.2%
general
69.7%
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-2 mini

0 providers
Google

Gemini 2.0 Flash Thinking

+17.7%
Avg Score:74.8%
Providers:0
xAI

Grok-2 mini

Avg Score:57.1%
Providers:0