Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-V3-0324 represents a specific release iteration of DeepSeek-V3, developed to incorporate ongoing improvements and refinements. Built to provide enhanced stability and performance based on deployment learnings, it continues the evolution of the DeepSeek-V3 architecture with iterative enhancements.
Alibaba Cloud / Qwen Team
Qwen2-VL 72B was developed as a large vision-language model, designed to handle multimodal tasks combining visual and textual understanding. Built with 72 billion parameters for integrated vision and language processing, it enables applications requiring sophisticated analysis of images alongside text.
6 months newer

Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29

DeepSeek-V3 0324
DeepSeek
2025-03-25
Context window and performance specifications
Qwen2-VL-72B-Instruct
2023-06-30
Available providers and their performance metrics

DeepSeek-V3 0324
Novita

Qwen2-VL-72B-Instruct

DeepSeek-V3 0324

Qwen2-VL-72B-Instruct

DeepSeek-V3 0324

Qwen2-VL-72B-Instruct