Comprehensive side-by-side LLM comparison
Qwen3-VL Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Alibaba / Qwen
Qwen2-72B-Instruct is a 72-billion-parameter language model released by Alibaba's Qwen team in June 2024, serving as the flagship of the Qwen2 generation and representing a major step in open-weight multilingual modeling. Trained on data spanning 30+ languages with strong coverage of code and structured reasoning, the model was among the first openly released 70B-class models to demonstrate competitive performance across diverse benchmarks. It established the foundation architecture and training methodology that the Qwen2.5 series would later extend.
Alibaba / Qwen
Qwen3-VL Flash is a lightweight multimodal variant from Alibaba's Qwen3-VL family, designed for efficient visual reasoning and image understanding at lower inference cost. It inherits the joint visual-textual architecture of the Qwen3-VL series and targets latency-sensitive applications requiring multimodal input processing at scale.
1 year newer
Qwen2 72B Instruct
Alibaba / Qwen
2024-06-07
Qwen3-VL Flash
Alibaba / Qwen
2026-01-22
Available providers and their performance metrics
Qwen2 72B Instruct
Qwen3-VL Flash
Qwen2 72B Instruct
Qwen3-VL Flash