Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 43.8% higher average benchmark score. Qwen2-VL-72B-Instruct supports multimodal inputs. Overall, Qwen2-VL-72B-Instruct 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
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Context window and performance specifications
Average performance across 19 common benchmarks
DeepSeek R1 Distill Llama 70B
Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Available providers and their performance metrics
DeepSeek R1 Distill Llama 70B
DeepInfra
Qwen2-VL-72B-Instruct
DeepSeek R1 Distill Llama 70B
Qwen2-VL-72B-Instruct
DeepSeek R1 Distill Llama 70B
Qwen2-VL-72B-Instruct