Side-by-side comparison
UI-TARS 7B vs Perceptron Mk1
| UI-TARS 7B | Perceptron Mk1 | |
|---|---|---|
| Provider | ByteDance | Perceptron |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 128,000 | 32,768 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision | vision |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.1000 | 0.1500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.2000 | 1.5000 |
Frequently asked questions
Which is cheaper, UI-TARS 7B or Perceptron Mk1?
UI-TARS 7B is cheaper than Perceptron Mk1 on a 50/50 input/output blend by about $0.675 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, UI-TARS 7B or Perceptron Mk1?
UI-TARS 7B has the larger context window at 128k tokens versus 33k tokens for Perceptron Mk1. That means UI-TARS 7B can ingest about 3.9x as much text per request.
What is the difference between UI-TARS 7B and Perceptron Mk1?
UI-TARS 7B comes from ByteDance; Perceptron Mk1 comes from Perceptron. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.