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 3n E2B
Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Gemma 3n E2B
2025-06-26
5 months newer
Performance Metrics
Context window and performance specifications
DeepSeek R1 Distill Qwen 32B
Gemma 3n E2B
Performance comparison across key benchmark categories
DeepSeek R1 Distill Qwen 32B
Gemma 3n E2B
Gemma 3n E2B
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Gemma 3n E2B
DeepSeek R1 Distill Qwen 32B
Gemma 3n E2B