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-4 Heavy

xAI

Grok-4 Heavy is a multimodal language model developed by xAI. It achieves strong performance with an average score of 79.5% across 6 benchmarks. It excels particularly in AIME 2025 (100.0%), HMMT25 (96.7%), GPQA (88.4%). The model shows particular specialization in general tasks with an average performance of 79.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents xAI's latest advancement in AI technology.

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

xAI

Grok-4 Heavy

xAI

2025-07-09

5 months newer

Average performance across 1 common benchmarks

Google

Gemini 2.0 Flash Thinking

Average Score:74.2%
xAI

Grok-4 Heavy

+14.2%
Average Score:88.4%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash Thinking

general
73.8%
xAI

Grok-4 Heavy

general
+5.8%
79.5%
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

Grok-4 Heavy

2024-12-31

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-4 Heavy

0 providers
Google

Gemini 2.0 Flash Thinking

Avg Score:74.2%
Providers:0
xAI

Grok-4 Heavy

+14.2%
Avg Score:88.4%
Providers:0