Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek R1 Distill Qwen 32B
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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 R1 Distill Qwen 32B
DeepSeek
2025-01-20
Gemma 3 1B
2025-03-12
1 month newer
Performance Metrics
Context window and performance specifications
DeepSeek R1 Distill Qwen 32B
Gemma 3 1B
Average performance across 2 common benchmarks
DeepSeek R1 Distill Qwen 32B
Gemma 3 1B
Performance comparison across key benchmark categories
DeepSeek R1 Distill Qwen 32B
Gemma 3 1B
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Gemma 3 1B
DeepSeek R1 Distill Qwen 32B
Gemma 3 1B