Side-by-side comparison
UI-TARS 7B vs ERNIE 4.5 VL 424B A47B
Baidu Qianfan
ERNIE 4.5 VL 424B A47B
👁 Vision
Input / 1M
$0.4200
Output / 1M
$1.2500
| UI-TARS 7B | ERNIE 4.5 VL 424B A47B | |
|---|---|---|
| Provider | ByteDance | Baidu Qianfan |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 128,000 | 123,000 |
| 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 | 0.4200 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.2000 | 1.2500 |
Frequently asked questions
Which is cheaper, UI-TARS 7B or ERNIE 4.5 VL 424B A47B ?
UI-TARS 7B is cheaper than ERNIE 4.5 VL 424B A47B on a 50/50 input/output blend by about $0.685 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 ERNIE 4.5 VL 424B A47B ?
UI-TARS 7B has the larger context window at 128k tokens versus 123k tokens for ERNIE 4.5 VL 424B A47B . That means UI-TARS 7B can ingest about 1.0x as much text per request.
What is the difference between UI-TARS 7B and ERNIE 4.5 VL 424B A47B ?
UI-TARS 7B comes from ByteDance; ERNIE 4.5 VL 424B A47B comes from Baidu Qianfan. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.