o1 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 o1 and UI-TARS 7B.
o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
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...
Technical Specifications
| Specification | o1 | UI-TARS 7B |
|---|---|---|
| Provider | OpenAI | ByteDance |
| Context Window | 200,000 tokens | 128,000 tokens |
| Agent Suitability | 88/100 | N/A |
| Time to First Token (TTFT) | 2500 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-12-17 | 2025-07-22 |
API Pricing Comparison
Input Price per Million Tokens
o1
$15.00
UI-TARS 7B
$0.10
Output Price per Million Tokens
o1
$60.00
UI-TARS 7B
$0.20
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
o1 Quirks & Gotchas
- ▸Reasoning model — high latency by design, not for real-time use
- ▸Best for complex math/code reasoning where accuracy > speed
- ▸Use o3-mini when you need reasoning with lower latency
UI-TARS 7B Quirks & Gotchas
No developer gotchas reported.