Side-by-side comparison
ERNIE 4.5 300B A47B vs Coder Large
| ERNIE 4.5 300B A47B | Coder Large | |
|---|---|---|
| Provider | Baidu Qianfan | Arcee AI |
| 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). | text-only | text-only |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.2800 | 0.5000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.1000 | 0.8000 |
Frequently asked questions
Which is cheaper, ERNIE 4.5 300B A47B or Coder Large?
Coder Large is cheaper than ERNIE 4.5 300B A47B on a 50/50 input/output blend by about $0.04 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 300B A47B or Coder Large?
ERNIE 4.5 300B A47B has the larger context window at 123k tokens versus 33k tokens for Coder Large. That means ERNIE 4.5 300B A47B can ingest about 3.8x as much text per request.
What is the difference between ERNIE 4.5 300B A47B and Coder Large?
ERNIE 4.5 300B A47B comes from Baidu Qianfan; Coder Large comes from Arcee AI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.