MiniMax M1 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 MiniMax M1 and UI-TARS 7B.
MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
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 | MiniMax M1 | UI-TARS 7B |
|---|---|---|
| Provider | MiniMax | ByteDance |
| Context Window | 1,000,000 tokens | 128,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-17 | 2025-07-22 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax M1
$0.40
UI-TARS 7B
$0.10
Output Price per Million Tokens
MiniMax M1
$2.20
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.
MiniMax M1 Quirks & Gotchas
No developer gotchas reported.
UI-TARS 7B Quirks & Gotchas
No developer gotchas reported.