Side-by-side comparison
Perceptron Mk1 vs ERNIE 4.5 VL 424B A47B
Baidu Qianfan
ERNIE 4.5 VL 424B A47B
👁 Vision
Input / 1M
$0.4200
Output / 1M
$1.2500
| Perceptron Mk1 | ERNIE 4.5 VL 424B A47B | |
|---|---|---|
| Provider | Perceptron | Baidu Qianfan |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 32,768 | 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 → | 0.1500 | 0.4200 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.5000 | 1.2500 |
Frequently asked questions
Which is cheaper, Perceptron Mk1 or ERNIE 4.5 VL 424B A47B ?
Perceptron Mk1 is cheaper than ERNIE 4.5 VL 424B A47B on a 50/50 input/output blend by about $0.01 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, Perceptron Mk1 or ERNIE 4.5 VL 424B A47B ?
ERNIE 4.5 VL 424B A47B has the larger context window at 123k tokens versus 33k tokens for Perceptron Mk1. That means ERNIE 4.5 VL 424B A47B can ingest about 3.8x as much text per request.
What is the difference between Perceptron Mk1 and ERNIE 4.5 VL 424B A47B ?
Perceptron Mk1 comes from Perceptron; 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.