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 Meta: Llama 3.2 11B Vision Instruct
Meta: Llama 3.2 11B Vision Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and visual question answering, bridging the gap between language …
Model details →Side-by-side comparison
| Capability | ByteDance: UI-TARS 7B | Meta: Llama 3.2 11B Vision Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 131K | 🏆 Meta: Llama 3.2 11B Vision Instruct |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $0.05 | 🏆 Meta: Llama 3.2 11B Vision Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.20 | $0.05 | 🏆 Meta: Llama 3.2 11B Vision Instruct |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| 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 Meta: Llama 3.2 11B Vision Instruct?
Meta: Llama 3.2 11B Vision Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between ByteDance: UI-TARS 7B and Meta: Llama 3.2 11B Vision Instruct?
Input: $0.10 vs $0.05 per 1M tokens. Output: $0.20 vs $0.05 per 1M tokens.
What context windows do ByteDance: UI-TARS 7B and Meta: Llama 3.2 11B Vision Instruct support?
ByteDance: UI-TARS 7B supports up to 128K tokens. Meta: Llama 3.2 11B Vision Instruct supports up to 131K tokens.
Do both ByteDance: UI-TARS 7B and Meta: Llama 3.2 11B Vision Instruct support tool calling?
ByteDance: UI-TARS 7B: not advertised. Meta: Llama 3.2 11B Vision Instruct: not advertised.
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