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

DeepSeek R1 Zero
DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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.

DeepSeek R1 Zero
DeepSeek
2025-01-20

Gemini 2.0 Flash Thinking
2025-01-21
1 days newer
Average performance across 2 common benchmarks

DeepSeek R1 Zero

Gemini 2.0 Flash Thinking
Performance comparison across key benchmark categories

DeepSeek R1 Zero

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

DeepSeek R1 Zero

Gemini 2.0 Flash Thinking

DeepSeek R1 Zero

Gemini 2.0 Flash Thinking