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.
Llama 3.2 3B Instruct
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
Llama 3.2 3B Instruct
Meta
2024-09-25
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
3 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek R1 Distill Qwen 32B
Llama 3.2 3B Instruct
Performance Metrics
Context window and performance specifications
DeepSeek R1 Distill Qwen 32B
Llama 3.2 3B Instruct
Average performance across 1 common benchmarks
DeepSeek R1 Distill Qwen 32B
Llama 3.2 3B Instruct
Performance comparison across key benchmark categories
DeepSeek R1 Distill Qwen 32B
Llama 3.2 3B Instruct
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek R1 Distill Qwen 32B
DeepInfra
Llama 3.2 3B Instruct
DeepInfra
DeepSeek R1 Distill Qwen 32B
Llama 3.2 3B Instruct