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
Qwen2.5-72B-Instruct is the flagship of Alibaba's Qwen2.5 series, a 72-billion-parameter open-weight model released in September 2024 after training on 18 trillion tokens spanning code, mathematics, and multilingual text. It offers strong generalist performance across coding, instruction-following, and structured reasoning while remaining fully open-weight under Apache 2.0 — a combination that made it a widely referenced model in open-source evaluations and community benchmarking. The 128K context window and built-in structured output support made it a common choice for document analysis and multi-step agentic pipeline development.
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
Qwen2.5 72B Instruct
Alibaba / Qwen
2024-09-19
Qwen3-VL Flash
Alibaba / Qwen
2026-01-22
Available providers and their performance metrics
Qwen2.5 72B Instruct
Qwen3-VL Flash
Qwen2.5 72B Instruct
Qwen3-VL Flash