Side-by-side comparison
ERNIE 4.5 VL 28B A3B vs Mistral Small 4
Baidu Qianfan
ERNIE 4.5 VL 28B A3B
👁 Vision
🔧 Tools
Input / 1M
$0.1400
Output / 1M
$0.5600
Mistral
Mistral Small 4
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1500
Output / 1M
$0.6000
| ERNIE 4.5 VL 28B A3B | Mistral Small 4 | |
|---|---|---|
| Provider | Baidu Qianfan | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 30,000 | 262,144 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.1400 | 0.1500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.5600 | 0.6000 |
Frequently asked questions
Which is cheaper, ERNIE 4.5 VL 28B A3B or Mistral Small 4?
ERNIE 4.5 VL 28B A3B is cheaper than Mistral Small 4 on a 50/50 input/output blend by about $0.025 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 28B A3B or Mistral Small 4?
Mistral Small 4 has the larger context window at 262k tokens versus 30k tokens for ERNIE 4.5 VL 28B A3B. That means Mistral Small 4 can ingest about 8.7x as much text per request.
What is the difference between ERNIE 4.5 VL 28B A3B and Mistral Small 4?
ERNIE 4.5 VL 28B A3B comes from Baidu Qianfan; Mistral Small 4 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.