Baidu: ERNIE 4.5 VL 424B A47B
Multimodal reasoning model for visual analysis, planning, and tool use
- Model lab
- Baidu
- Model family
- ernie
Quickstart
Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/baidu/ernie-4-5-vl-424b-a47b.
import os
import requests
base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/baidu/ernie-4-5-vl-424b-a47b"
response = requests.post(
f"{base_url}/chat/completions",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
},
json={
"model": model_id,
"messages": [{"role": "user", "content": "Hello!"}],
"stream": False,
},
timeout=60,
)
response.raise_for_status()
print(response.json())Use the familiar OpenAI-style chat request format to make model integration easier.
ERNIE 4.5 VL 424B A47B API Pricing
| Type | Price information |
|---|---|
| Input | USD 0.336 / 1M tokens |
| Output | USD 1 / 1M tokens |
Performance
Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.
Performance trends
Availability
Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.
ERNIE 4.5 VL 424B A47B Compare models
| Model | Input price | Output price | Context window | Capabilities |
|---|---|---|---|---|
| ERNIE 4.5 VL 424B A47B This page | USD 0.336 / 1M tokens | USD 1 / 1M tokens | 123,000 | Text output · Reasoning |
| ERNIE 4.5 21B A3B | USD 0.056 / 1M tokens · Context ≤ 120000 tokens · Maximum output 8000 tokens | USD 0.224 / 1M tokens · Context ≤ 120000 tokens · Maximum output 8000 tokens | 131,072 | Text output · Tool calling |
| DeepSeek V4.1 Flash 1017 | USD 0.028 / 1M tokens · Quantization fp4 | USD 0.4 / 1M tokens · Quantization fp4 | 1,000,000 | Text output · Reasoning · Tool calling |
| Mistral Large 4 | USD 0.544 / 1M tokens | USD 1.672 / 1M tokens | 1,048,576 | Text output · Reasoning · Tool calling |
| LongCat-2.5-Preview | USD 0.6 / 1M tokens | USD 2.36 / 1M tokens | 1,000,000 | Text output · Reasoning · Tool calling |
Model specifications
- Input
- image, text
- Output
- text
- Context window
- 123,000
- Maximum output
- 16,000
- Release date
- 2025-06-30
- Attachments
- Yes
- Reasoning
- Yes
- Tool calling
- No
- Structured output
- No
- Temperature setting
- Yes
- Open weights
- Yes
Frequently asked questions
What is ERNIE 4.5 VL 424B A47B for?
Multimodal reasoning model for visual analysis, planning, and tool use
What inputs and outputs does ERNIE 4.5 VL 424B A47B support?
Recorded inputs: images, text; outputs: text.
How is ERNIE 4.5 VL 424B A47B priced?
The pricing table shows the current recorded Moduck price. For example: Input USD 0.336 / 1M tokens; Output USD 1 / 1M tokens. See the pricing table for all units, variants, and conditions.
What specifications are recorded for ERNIE 4.5 VL 424B A47B ?
Current model records list Context window 123,000 tokens; Maximum output 16,000 tokens.
What model parameter does the Quickstart use?
The example uses moduck/baidu/ernie-4-5-vl-424b-a47b. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.
Can I call this model through the Moduck API now?
This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.
Related models
No related catalog models are recorded for this model family.