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Claude 3.5 Sonnet 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 Claude 3.5 Sonnet and UI-TARS 7B.

Anthropic

Claude 3.5 Sonnet

Claude 3.5 Sonnet was Anthropic's breakout model of 2024, widely regarded as one of the most capable commercial LLMs of its generation. It earned widespread developer praise for its exceptional coding ability, nuanced long-form writing, and reliable complex reasoning across a 200,000-token context window. Claude 3.5 Sonnet introduced computer-use capabilities, enabling it to interact with desktop environments, web browsers, and software tools autonomously. Available via API at $3/MTok for input, it continues to be a popular choice for developers who want a well-rounded, safety-aligned model with strong benchmark performance for coding, analysis, and content generation tasks.

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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

SpecificationClaude 3.5 SonnetUI-TARS 7B
ProviderAnthropicByteDance
Context Window200,000 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment ModelN/Amanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-06-212025-07-22

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Sonnet

$3.00

UI-TARS 7B

$0.10

Output Price per Million Tokens

Claude 3.5 Sonnet

$15.00

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
8870.0%vs7350.0%
Claude 3.5 Sonnet
UI-TARS 7B
HumanEvalPython coding & logic synthesis
9200.0%vs8020.0%
Claude 3.5 Sonnet
UI-TARS 7B
MATHComplex mathematical problem solving
7110.0%vs4050.0%
Claude 3.5 Sonnet
UI-TARS 7B
GPQAGraduate-level expert reasoning
5940.0%vs3000.0%
Claude 3.5 Sonnet
UI-TARS 7B
HellaSwagCommonsense reasoning and inference
9540.0%vs7800.0%
Claude 3.5 Sonnet
UI-TARS 7B
MT-BenchMulti-turn conversation flow quality
935.0%vs805.0%
Claude 3.5 Sonnet
UI-TARS 7B

Claude 3.5 Sonnet Quirks & Gotchas

No developer gotchas reported.

UI-TARS 7B Quirks & Gotchas

No developer gotchas reported.