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
Qwen2.5-32B-Instruct is a 32-billion-parameter open-weight model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens. The model is positioned as a high-capability option for developers with access to multi-GPU setups or high-VRAM hardware, offering strong performance on coding, structured reasoning, and multilingual tasks while remaining fully open under Apache 2.0. Its 128K context window and support for structured output generation made it a popular choice for document processing and agentic workflows in the open-source community.
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 32B Instruct
Alibaba / Qwen
2024-09-19
Qwen3-VL Flash
Alibaba / Qwen
2026-01-22
Available providers and their performance metrics
Qwen2.5 32B Instruct
Qwen3-VL Flash
Qwen2.5 32B Instruct
Qwen3-VL Flash