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 2.5 Pro
Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 67.1% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). The model shows particular specialization in vision tasks with an average performance of 82.2%. With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 Google's latest advancement in AI technology.

DeepSeek R1 Zero
DeepSeek
2025-01-20

Gemini 2.5 Pro
2025-05-20
4 months newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Zero

Gemini 2.5 Pro
Average performance across 2 common benchmarks

DeepSeek R1 Zero

Gemini 2.5 Pro
Performance comparison across key benchmark categories

DeepSeek R1 Zero

Gemini 2.5 Pro
Gemini 2.5 Pro
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Zero

Gemini 2.5 Pro

DeepSeek R1 Zero

Gemini 2.5 Pro