Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4.1 mini, released by OpenAI in April 2025, is a smaller variant from the GPT-4.1 family designed for efficient, cost-effective deployments requiring long-context understanding. It features a 1M token context window and native image understanding, with maintained coding and instruction-following capabilities relative to its size. GPT-4.1 mini targets applications needing a balance between response speed, cost, and capability, such as production APIs with high request volumes.
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

GPT-4.1 mini
OpenAI
2025-04-14
Context window and performance specifications
Available providers and their performance metrics
GPT-4.1 mini
OpenAI
UI-TARS-72B-DPO
GPT-4.1 mini
UI-TARS-72B-DPO
GPT-4.1 mini
UI-TARS-72B-DPO