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-3
xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2024 (93.3%), AIME 2025 (93.3%), GPQA (84.6%). The model shows particular specialization in general tasks with an average performance of 90.4%. It supports a 136K token context window for handling large documents. 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 2025, it represents xAI's latest advancement in AI technology.

Gemini 2.0 Flash Thinking
2025-01-21

Grok-3
xAI
2025-02-17
27 days newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash Thinking

Grok-3
Average performance across 3 common benchmarks

Gemini 2.0 Flash Thinking

Grok-3
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

Grok-3
Gemini 2.0 Flash Thinking
2024-08-01
Grok-3
2024-11-17
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

Grok-3
xAI

Gemini 2.0 Flash Thinking

Grok-3