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Llama 3.2 11B Vision vs UI-TARS 7B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.2 11B Vision and UI-TARS 7B.

Meta

Llama 3.2 11B Vision

Meta's lightweight open weights vision model, optimized for mobile devices and local deployments. Capable of visual understanding, chart reading, and fast text generation.

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ByteDance

UI-TARS 7B

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...

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Technical Specifications

SpecificationLlama 3.2 11B VisionUI-TARS 7B
ProviderMetaByteDance
Context Window131,072 tokens128,000 tokens
Agent Suitability72/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-252025-07-22

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision

$0.34

UI-TARS 7B

$0.10

Output Price per Million Tokens

Llama 3.2 11B Vision

$0.34

UI-TARS 7B

$0.20

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7300.0%vs7350.0%
Llama 3.2 11B Vision
UI-TARS 7B
HumanEvalPython coding & logic synthesis
7500.0%vs8020.0%
Llama 3.2 11B Vision
UI-TARS 7B
MATHComplex mathematical problem solving
5800.0%vs4050.0%
Llama 3.2 11B Vision
UI-TARS 7B
GPQAGraduate-level expert reasoning
3800.0%vs3000.0%
Llama 3.2 11B Vision
UI-TARS 7B
HellaSwagCommonsense reasoning and inference
8200.0%vs7800.0%
Llama 3.2 11B Vision
UI-TARS 7B
MT-BenchMulti-turn conversation flow quality
790.0%vs805.0%
Llama 3.2 11B Vision
UI-TARS 7B

Llama 3.2 11B Vision Quirks & Gotchas

  • โ–ธLightweight vision model for edge/on-device deployments
  • โ–ธLimited tool calling โ€” use Llama 4 for production agentic tasks

UI-TARS 7B Quirks & Gotchas

No developer gotchas reported.