Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Gemini 1.0 Pro
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
Gemini 1.0 Pro
2024-02-15
DeepSeek-R1
DeepSeek
2025-01-20
11 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-R1
Gemini 1.0 Pro
Performance Metrics
Context window and performance specifications
DeepSeek-R1
Gemini 1.0 Pro
Average performance across 2 common benchmarks
DeepSeek-R1
Gemini 1.0 Pro
Performance comparison across key benchmark categories
DeepSeek-R1
Gemini 1.0 Pro
Gemini 1.0 Pro
2024-02-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
Gemini 1.0 Pro
DeepSeek-R1
Gemini 1.0 Pro