Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Alibaba / Qwen
Qwen2.5-VL-32B-Instruct is a 32-billion-parameter vision-language model from Alibaba, extending the Qwen2.5 architecture with multimodal capabilities for understanding images, documents, charts, and video frames alongside text. The model was designed for tasks requiring deep visual reasoning — such as document parsing, table extraction, and spatial understanding — with performance that made it a practical choice for document intelligence and visual data analysis workflows. As an open-weight model, it became a widely adopted foundation for fine-tuning domain-specific multimodal applications.
Kunlun Tech
Skywork-R1V3-38B, released by Kunlun Tech's Skywork AI team on July 9, 2025, is a 38 billion parameter multimodal reasoning model built on InternVL-38B with reinforcement learning post-training that enhances both visual and textual reasoning. It uses the GRPO algorithm and cold-start fine-tuning to improve reasoning across image and text modalities. Skywork-R1V3-38B targets open-source multimodal reasoning deployments requiring strong performance across vision-language benchmarks.
4 months newer
Qwen2.5-VL 32B Instruct
Alibaba / Qwen
2025-03-01
Skywork-R1V3-38B
Kunlun Tech
2025-07-09
Available providers and their performance metrics
Qwen2.5-VL 32B Instruct
Skywork-R1V3-38B
Qwen2.5-VL 32B Instruct
Skywork-R1V3-38B