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Claude Haiku 4.5 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 Claude Haiku 4.5 and UI-TARS 7B.

Anthropic

Claude Haiku 4.5

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

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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 Haiku 4.5UI-TARS 7B
ProviderAnthropicByteDance
Context Window200,000 tokens128,000 tokens
Agent Suitability87/100N/A
Time to First Token (TTFT)180 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-10-152025-07-22

API Pricing Comparison

Input Price per Million Tokens

Claude Haiku 4.5

$1.00

UI-TARS 7B

$0.10

Output Price per Million Tokens

Claude Haiku 4.5

$5.00

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
8480.0%vs7350.0%
Claude Haiku 4.5
UI-TARS 7B
HumanEvalPython coding & logic synthesis
8600.0%vs8020.0%
Claude Haiku 4.5
UI-TARS 7B
MATHComplex mathematical problem solving
7500.0%vs4050.0%
Claude Haiku 4.5
UI-TARS 7B
GPQAGraduate-level expert reasoning
5500.0%vs3000.0%
Claude Haiku 4.5
UI-TARS 7B
HellaSwagCommonsense reasoning and inference
9350.0%vs7800.0%
Claude Haiku 4.5
UI-TARS 7B
MT-BenchMulti-turn conversation flow quality
890.0%vs805.0%
Claude Haiku 4.5
UI-TARS 7B

Claude Haiku 4.5 Quirks & Gotchas

  • Fastest TTFT in the Claude lineup — ideal for real-time chat
  • Tool calling limited compared to Sonnet — best for simple classification and routing

UI-TARS 7B Quirks & Gotchas

No developer gotchas reported.