Comprehensive side-by-side LLM comparison
UI-TARS-2 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
NVIDIA
Llama-3.1-Nemotron-Ultra-253B-v1 is a 253-billion-parameter model from NVIDIA, derived from Meta's Llama 3.1 405B using neural architecture search (NAS) compression combined with NVIDIA's Nemotron post-training pipeline, which recovers and exceeds the base model's capability after structural compression. Released in April 2025, it supports toggling between a standard instruction mode and an extended reasoning mode via system prompt, allowing the same model to handle both rapid responses and deliberate chain-of-thought tasks. It is the flagship of the Nemotron family, available open-weight on HuggingFace and through NVIDIA NIM for enterprise inference.
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.
5 months newer

Llama-3.1 Nemotron Ultra 253B
NVIDIA
2025-04-07
UI-TARS-2
ByteDance
2025-09-04
Available providers and their performance metrics
Llama-3.1 Nemotron Ultra 253B
UI-TARS-2
Llama-3.1 Nemotron Ultra 253B
UI-TARS-2