MiniMax M2.5 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 MiniMax M2.5 and UI-TARS 7B.
MiniMax M2.5
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...
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 M2.5 | UI-TARS 7B |
|---|---|---|
| Provider | MiniMax | ByteDance |
| Context Window | 204,800 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 | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-02-12 | 2025-07-22 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax M2.5
$0.12
UI-TARS 7B
$0.10
Output Price per Million Tokens
MiniMax M2.5
$0.48
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 M2.5 Quirks & Gotchas
No developer gotchas reported.
UI-TARS 7B Quirks & Gotchas
No developer gotchas reported.