Comprehensive side-by-side LLM comparison
Skywork-R1V3-38B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Alibaba / Qwen
Qwen2.5-Coder-32B-Instruct is a 32-billion-parameter code-specialized model from Alibaba, released in November 2024 and trained on a large corpus spanning 92 programming languages including C, Python, Java, Rust, and domain-specific languages. The model was designed to provide competitive code generation, repair, and reasoning capabilities as an open-weight alternative for developers building code assistant tools and automated review pipelines. Its 128K context window enables whole-file and multi-file code comprehension, making it particularly suited for complex repository-level tasks.
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.
7 months newer
Qwen2.5-Coder 32B Instruct
Alibaba / Qwen
2024-11-12
Skywork-R1V3-38B
Kunlun Tech
2025-07-09
Available providers and their performance metrics
Qwen2.5-Coder 32B Instruct
Skywork-R1V3-38B
Qwen2.5-Coder 32B Instruct
Skywork-R1V3-38B