Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Alibaba / Qwen
Qwen3-VL-235B-A22B, released by Alibaba's Qwen team in September 2025, is a natively multimodal Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters. It features a 256K token context window (with extrapolation to 1M tokens), native support for text, image, and video input, and joint visual-textual reasoning capabilities. Qwen3-VL-235B targets complex visual reasoning, video understanding, and multimodal agentic tasks under the Apache 2.0 license.
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.
19 days newer
UI-TARS-2
ByteDance
2025-09-04
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
Context window and performance specifications
Available providers and their performance metrics
Qwen3-VL-235B-A22B
OpenRouter
UI-TARS-2
Qwen3-VL-235B-A22B
UI-TARS-2
Qwen3-VL-235B-A22B
UI-TARS-2