UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement...
Model details →ByteDance: UI-TARS 7B vs OpenAI: GPT-4o-mini
ByteDance: UI-TARS 7B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...
Model details →Side-by-side comparison
| Capability | ByteDance: UI-TARS 7B | OpenAI: GPT-4o-mini | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 128K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $0.15 | 🏆 ByteDance: UI-TARS 7B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.20 | $0.60 | 🏆 ByteDance: UI-TARS 7B |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 OpenAI: GPT-4o-mini |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is ByteDance: UI-TARS 7B better than OpenAI: GPT-4o-mini?
ByteDance: UI-TARS 7B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between ByteDance: UI-TARS 7B and OpenAI: GPT-4o-mini?
Input: $0.10 vs $0.15 per 1M tokens. Output: $0.20 vs $0.60 per 1M tokens.
What context windows do ByteDance: UI-TARS 7B and OpenAI: GPT-4o-mini support?
ByteDance: UI-TARS 7B supports up to 128K tokens. OpenAI: GPT-4o-mini supports up to 128K tokens.
Do both ByteDance: UI-TARS 7B and OpenAI: GPT-4o-mini support tool calling?
ByteDance: UI-TARS 7B: not advertised. OpenAI: GPT-4o-mini: yes.
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