Side-by-side comparison
ERNIE 4.5 VL 424B A47B vs Perceptron Mk1
Baidu Qianfan
ERNIE 4.5 VL 424B A47B
👁 Vision
Input / 1M
$0.4200
Output / 1M
$1.2500
| ERNIE 4.5 VL 424B A47B | Perceptron Mk1 | |
|---|---|---|
| Provider | Baidu Qianfan | Perceptron |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 123,000 | 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 → | 0.4200 | 0.1500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.2500 | 1.5000 |
Frequently asked questions
Which is cheaper, ERNIE 4.5 VL 424B A47B or Perceptron Mk1?
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, ERNIE 4.5 VL 424B A47B or Perceptron Mk1?
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 ERNIE 4.5 VL 424B A47B and Perceptron Mk1?
ERNIE 4.5 VL 424B A47B comes from Baidu Qianfan; 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.