Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Meta AI
Llama 4 Maverick, released by Meta on April 5, 2025, is a natively multimodal Mixture-of-Experts large language model with 400 billion total parameters and 17 billion active parameters per inference. It features a 1M token context window and supports text and image input, enabling strong performance on both language and vision tasks. Maverick targets open-source deployments requiring large-scale multimodal reasoning, released under Meta's custom license.
ByteDance
UI-TARS-72B-DPO, released by ByteDance in early 2025, is a 72 billion parameter multimodal large language model from the UI-TARS family, built on Qwen-2-VL and fine-tuned for automated GUI interaction and computer control. It features native understanding of screenshots, UI elements, and web interfaces, achieving strong results across GUI benchmarks for perception, grounding, and agentic control. UI-TARS-72B-DPO targets computer-use agents, web automation, and applications requiring robust visual UI reasoning.
3 months newer
UI-TARS-72B-DPO
ByteDance
2025-01

Llama 4 Maverick
Meta AI
2025-04-05
Context window and performance specifications
Available providers and their performance metrics
Llama 4 Maverick
Together AI
UI-TARS-72B-DPO
Llama 4 Maverick
UI-TARS-72B-DPO
Llama 4 Maverick
UI-TARS-72B-DPO