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GPT-5 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 GPT-5 and UI-TARS 7B.

OpenAI

GPT-5

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy...

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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

SpecificationGPT-5UI-TARS 7B
ProviderOpenAIByteDance
Context Window400,000 tokens128,000 tokens
Agent Suitability92/100N/A
Time to First Token (TTFT)320 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-072025-07-22

API Pricing Comparison

Input Price per Million Tokens

GPT-5

$1.25

UI-TARS 7B

$0.10

Output Price per Million Tokens

GPT-5

$10.00

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
9210.0%vs7350.0%
GPT-5
UI-TARS 7B
HumanEvalPython coding & logic synthesis
9400.0%vs8020.0%
GPT-5
UI-TARS 7B
MATHComplex mathematical problem solving
8950.0%vs4050.0%
GPT-5
UI-TARS 7B
GPQAGraduate-level expert reasoning
7950.0%vs3000.0%
GPT-5
UI-TARS 7B
HellaSwagCommonsense reasoning and inference
9850.0%vs7800.0%
GPT-5
UI-TARS 7B
MT-BenchMulti-turn conversation flow quality
950.0%vs805.0%
GPT-5
UI-TARS 7B

GPT-5 Quirks & Gotchas

  • Reliable all-rounder — use as default for most production workflows
  • Not recommended for advanced reasoning chains — use o3-mini instead

UI-TARS 7B Quirks & Gotchas

No developer gotchas reported.