Side-by-side comparison
ERNIE 4.5 VL 28B A3B vs Qwen3 VL 30B A3B Instruct
Baidu Qianfan
ERNIE 4.5 VL 28B A3B
👁 Vision
🔧 Tools
Input / 1M
$0.1400
Output / 1M
$0.5600
Qwen
Qwen3 VL 30B A3B Instruct
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1300
Output / 1M
$0.5200
| ERNIE 4.5 VL 28B A3B | Qwen3 VL 30B A3B Instruct | |
|---|---|---|
| Provider | Baidu Qianfan | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 30,000 | 131,072 |
| 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 | 0.1300 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.5600 | 0.5200 |
Frequently asked questions
Which is cheaper, ERNIE 4.5 VL 28B A3B or Qwen3 VL 30B A3B Instruct?
Qwen3 VL 30B A3B Instruct is cheaper than ERNIE 4.5 VL 28B A3B 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 Qwen3 VL 30B A3B Instruct?
Qwen3 VL 30B A3B Instruct has the larger context window at 131k tokens versus 30k tokens for ERNIE 4.5 VL 28B A3B. That means Qwen3 VL 30B A3B Instruct can ingest about 4.4x as much text per request.
What is the difference between ERNIE 4.5 VL 28B A3B and Qwen3 VL 30B A3B Instruct?
ERNIE 4.5 VL 28B A3B comes from Baidu Qianfan; Qwen3 VL 30B A3B Instruct comes from Qwen. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.