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GPT-5.5 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-5.5 and UI-TARS 7B.

OpenAI

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

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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-5.5UI-TARS 7B
ProviderOpenAIByteDance
Context Window1,050,000 tokens128,000 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)380 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-242025-07-22

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5

$5.00

UI-TARS 7B

$0.10

Output Price per Million Tokens

GPT-5.5

$30.00

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
9420.0%vs7350.0%
GPT-5.5
UI-TARS 7B
HumanEvalPython coding & logic synthesis
9680.0%vs8020.0%
GPT-5.5
UI-TARS 7B
MATHComplex mathematical problem solving
9350.0%vs4050.0%
GPT-5.5
UI-TARS 7B
GPQAGraduate-level expert reasoning
8420.0%vs3000.0%
GPT-5.5
UI-TARS 7B
HellaSwagCommonsense reasoning and inference
9900.0%vs7800.0%
GPT-5.5
UI-TARS 7B
MT-BenchMulti-turn conversation flow quality
970.0%vs805.0%
GPT-5.5
UI-TARS 7B

GPT-5.5 Quirks & Gotchas

  • Best for JSON schema adherence — strict mode available via response_format parameter
  • Requires explicit tool_choice for deterministic function calling

UI-TARS 7B Quirks & Gotchas

No developer gotchas reported.