Side-by-side comparison
ERNIE 4.5 21B A3B vs Devstral Small 1.1
Baidu Qianfan
ERNIE 4.5 21B A3B
🔧 Tools
Input / 1M
$0.0700
Output / 1M
$0.2800
Mistral
Devstral Small 1.1
🔧 Tools
{} JSON
Input / 1M
$0.1000
Output / 1M
$0.3000
| ERNIE 4.5 21B A3B | Devstral Small 1.1 | |
|---|---|---|
| Provider | Baidu Qianfan | Mistral |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 120,000 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.0700 | 0.1000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.2800 | 0.3000 |
Frequently asked questions
Which is cheaper, ERNIE 4.5 21B A3B or Devstral Small 1.1?
ERNIE 4.5 21B A3B is cheaper than Devstral Small 1.1 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 21B A3B or Devstral Small 1.1?
Devstral Small 1.1 has the larger context window at 131k tokens versus 120k tokens for ERNIE 4.5 21B A3B. That means Devstral Small 1.1 can ingest about 1.1x as much text per request.
What is the difference between ERNIE 4.5 21B A3B and Devstral Small 1.1?
ERNIE 4.5 21B A3B comes from Baidu Qianfan; Devstral Small 1.1 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.