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Claude Opus 4.6 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 Opus 4.6 and UI-TARS 7B.

Anthropic

Claude Opus 4.6

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective...

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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 Opus 4.6UI-TARS 7B
ProviderAnthropicByteDance
Context Window1,000,000 tokens128,000 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)500 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-042025-07-22

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.6

$5.00

UI-TARS 7B

$0.10

Output Price per Million Tokens

Claude Opus 4.6

$25.00

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
9250.0%vs7350.0%
Claude Opus 4.6
UI-TARS 7B
HumanEvalPython coding & logic synthesis
9450.0%vs8020.0%
Claude Opus 4.6
UI-TARS 7B
MATHComplex mathematical problem solving
8890.0%vs4050.0%
Claude Opus 4.6
UI-TARS 7B
GPQAGraduate-level expert reasoning
7980.0%vs3000.0%
Claude Opus 4.6
UI-TARS 7B
HellaSwagCommonsense reasoning and inference
9750.0%vs7800.0%
Claude Opus 4.6
UI-TARS 7B
MT-BenchMulti-turn conversation flow quality
965.0%vs805.0%
Claude Opus 4.6
UI-TARS 7B

Claude Opus 4.6 Quirks & Gotchas

  • Best for long-context document analysis and legal review
  • Tool calling requires structured prompt — prone to verbose refusal without explicit output schema

UI-TARS 7B Quirks & Gotchas

No developer gotchas reported.