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Claude 3 Opus 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 Opus and UI-TARS 7B.

Anthropic

Claude 3 Opus

Claude 3 Opus is Anthropic's most powerful model from the first Claude 3 generation, engineered for deep analysis, comprehensive research, and demanding multi-step task execution. Released in March 2024, it represented the frontier of Anthropic's capabilities at the time, with a 200,000-token context window suitable for processing large documents, synthesizing diverse research sources, and generating expert-level written content. Priced at $15/MTok for input, Claude 3 Opus remains available for teams with specific requirements for Claude 3-generation behavior, though most use cases are better served by the improved Claude 4 series.

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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 OpusUI-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 Date2024-03-042025-07-22

API Pricing Comparison

Input Price per Million Tokens

Claude 3 Opus

$15.00

UI-TARS 7B

$0.10

Output Price per Million Tokens

Claude 3 Opus

$75.00

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
8680.0%vs7350.0%
Claude 3 Opus
UI-TARS 7B
HumanEvalPython coding & logic synthesis
8490.0%vs8020.0%
Claude 3 Opus
UI-TARS 7B
MATHComplex mathematical problem solving
6010.0%vs4050.0%
Claude 3 Opus
UI-TARS 7B
GPQAGraduate-level expert reasoning
5040.0%vs3000.0%
Claude 3 Opus
UI-TARS 7B
HellaSwagCommonsense reasoning and inference
9500.0%vs7800.0%
Claude 3 Opus
UI-TARS 7B
MT-BenchMulti-turn conversation flow quality
900.0%vs805.0%
Claude 3 Opus
UI-TARS 7B

Claude 3 Opus Quirks & Gotchas

No developer gotchas reported.

UI-TARS 7B Quirks & Gotchas

No developer gotchas reported.