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.
Gemma 3 1B
Gemma 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
DeepSeek-V3.1
DeepSeek
2025-01-10
Gemma 3 1B
2025-03-12
2 months newer
Performance Metrics
Context window and performance specifications
DeepSeek-V3.1
Gemma 3 1B
Average performance across 3 common benchmarks
DeepSeek-V3.1
Gemma 3 1B
Performance comparison across key benchmark categories
DeepSeek-V3.1
Gemma 3 1B
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Gemma 3 1B
DeepSeek-V3.1
Gemma 3 1B