Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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-V3
DeepSeek
2024-12-25
10 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-V3
Gemini 1.0 Pro
Performance Metrics
Context window and performance specifications
DeepSeek-V3
Gemini 1.0 Pro
Average performance across 2 common benchmarks
DeepSeek-V3
Gemini 1.0 Pro
Performance comparison across key benchmark categories
DeepSeek-V3
Gemini 1.0 Pro
Gemini 1.0 Pro
2024-02-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Gemini 1.0 Pro
DeepSeek-V3
Gemini 1.0 Pro