Comprehensive side-by-side LLM comparison
UI-TARS-2 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Alibaba / Qwen
Qwen2.5-Coder-7B-Instruct is a 7-billion-parameter code-specialized model from Alibaba, released in November 2024 as part of the Qwen2.5-Coder family, trained on a curated corpus spanning 92 programming languages with emphasis on code generation, debugging, and fill-in-the-middle completion. Built on the Qwen2.5 architecture, it extends the base series' improvements in instruction-following and long-context handling to coding-specific tasks within a compact deployable footprint. It became popular for integration into IDE extensions, CI pipelines, and self-hosted code assistant tools.
ByteDance
UI-TARS-2, released by ByteDance in September 2025, is a major generational upgrade of the UI-TARS family of GUI interaction models, with enhanced capabilities across computer control, game environments, code generation, and tool use. It targets agentic workflows requiring robust multimodal understanding of graphical interfaces across diverse application domains.
9 months newer
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12
UI-TARS-2
ByteDance
2025-09-04
Available providers and their performance metrics
Qwen2.5-Coder 7B Instruct
UI-TARS-2
Qwen2.5-Coder 7B Instruct
UI-TARS-2