Side-by-side comparison
ERNIE 4.5 VL 424B A47B vs Mistral Small 3.1 24B
Baidu Qianfan
ERNIE 4.5 VL 424B A47B
👁 Vision
Input / 1M
$0.4200
Output / 1M
$1.2500
Mistral
Mistral Small 3.1 24B
👁 Vision
Input / 1M
$0.3500
Output / 1M
$0.5600
| ERNIE 4.5 VL 424B A47B | Mistral Small 3.1 24B | |
|---|---|---|
| Provider | Baidu Qianfan | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 123,000 | 128,000 |
| 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 → | 0.4200 | 0.3500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 1.2500 | 0.5600 |
Frequently asked questions
Which is cheaper, ERNIE 4.5 VL 424B A47B or Mistral Small 3.1 24B?
Mistral Small 3.1 24B is cheaper than ERNIE 4.5 VL 424B A47B on a 50/50 input/output blend by about $0.38 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 Mistral Small 3.1 24B?
Mistral Small 3.1 24B has the larger context window at 128k tokens versus 123k tokens for ERNIE 4.5 VL 424B A47B . That means Mistral Small 3.1 24B can ingest about 1.0x as much text per request.
What is the difference between ERNIE 4.5 VL 424B A47B and Mistral Small 3.1 24B?
ERNIE 4.5 VL 424B A47B comes from Baidu Qianfan; Mistral Small 3.1 24B comes from Mistral. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.