Side-by-side comparison
ERNIE 4.5 300B A47B vs WizardLM-2 8x22B
| ERNIE 4.5 300B A47B | WizardLM-2 8x22B | |
|---|---|---|
| Provider | Baidu Qianfan | Microsoft |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 123,000 | 65,535 |
| 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 | 0.6200 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.1000 | 0.6200 |
Frequently asked questions
Which is cheaper, ERNIE 4.5 300B A47B or WizardLM-2 8x22B?
WizardLM-2 8x22B is cheaper than ERNIE 4.5 300B A47B on a 50/50 input/output blend by about $0.07 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 WizardLM-2 8x22B?
ERNIE 4.5 300B A47B has the larger context window at 123k tokens versus 66k tokens for WizardLM-2 8x22B. That means ERNIE 4.5 300B A47B can ingest about 1.9x as much text per request.
What is the difference between ERNIE 4.5 300B A47B and WizardLM-2 8x22B?
ERNIE 4.5 300B A47B comes from Baidu Qianfan; WizardLM-2 8x22B comes from Microsoft. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.