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

Gemini 2.0 Flash Thinking
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.

Grok-4
xAI
Grok-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. 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.

Gemini 2.0 Flash Thinking
2025-01-21

Grok-4
xAI
2025-07-09
5 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash Thinking

Grok-4
Average performance across 1 common benchmarks

Gemini 2.0 Flash Thinking

Grok-4
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

Grok-4
Gemini 2.0 Flash Thinking
2024-08-01
Grok-4
2024-12-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

Grok-4
xAI
ZeroEval

Gemini 2.0 Flash Thinking

Grok-4