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o4 mini vs UI-TARS-72B-DPO
Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
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OpenAI
OpenAI o4 mini, released by OpenAI in April 2025, is a compact reasoning model from the o4 family that combines multimodal understanding with efficient chain-of-thought processing. It features a 200K token context window and native image understanding, with strong performance on mathematics and coding benchmarks relative to its inference cost. o4 mini targets cost-sensitive applications requiring both visual reasoning and mathematical accuracy.
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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
o4 mini
OpenAI
2025-04-16
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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o4 mini
1 providers
OpenAI
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UI-TARS-72B-DPO
0 providers
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o4 mini
Avg Score:0.0%
Providers:1
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UI-TARS-72B-DPO
Avg Score:0.0%
Providers:0