Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 13.2% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, DeepSeek R1 Distill Llama 70B is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
26 days newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Context window and performance specifications
Average performance across 8 common benchmarks
DeepSeek R1 Distill Llama 70B
QvQ-72B-Preview
Available providers and their performance metrics
DeepSeek R1 Distill Llama 70B
DeepInfra
QvQ-72B-Preview
DeepSeek R1 Distill Llama 70B
QvQ-72B-Preview
DeepSeek R1 Distill Llama 70B
QvQ-72B-Preview