Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 1.8% higher average benchmark score. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). 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.
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.
Launched on the same date
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Cost per million tokens (USD)
DeepSeek R1 Distill Llama 70B
DeepSeek R1 Distill Qwen 32B
Context window and performance specifications
Average performance across 4 common benchmarks
DeepSeek R1 Distill Llama 70B
DeepSeek R1 Distill Qwen 32B
Available providers and their performance metrics
DeepSeek R1 Distill Llama 70B
DeepInfra
DeepSeek R1 Distill Qwen 32B
DeepSeek R1 Distill Llama 70B
DeepSeek R1 Distill Qwen 32B
DeepSeek R1 Distill Llama 70B
DeepSeek R1 Distill Qwen 32B
DeepInfra