Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3.1
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. The model is available through 2 API providers. 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 Diffusion
Gemini Diffusion is a language model developed by Google. The model shows competitive results across 10 benchmarks. It excels particularly in HumanEval (89.6%), MBPP (76.0%), Global-MMLU-Lite (69.1%). Released in 2025, it represents Google's latest advancement in AI technology.
DeepSeek-V3.1
DeepSeek
2025-01-10
Gemini Diffusion
2025-05-20
4 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3.1
Gemini Diffusion
Average performance across 3 common benchmarks
DeepSeek-V3.1
Gemini Diffusion
Performance comparison across key benchmark categories
DeepSeek-V3.1
Gemini Diffusion
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Gemini Diffusion
DeepSeek-V3.1
Gemini Diffusion