Model Cost Profile

Baidu: ERNIE 4.5 VL 424B A47B

Developer: baidu

Pricing updated Mar 11, 2026

Input rank: #197Output rank: #192

Live Pricing

Input: $0.4200

Output: $1.25

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Baidu's ERNIE 4.5 VL 424B A47B model features an extensive context window of 123,000 tokens, making it suitable for applications requiring deep contextual understanding, such as long-form content generation and complex document analysis. With an input price of $0.42 per 1 million tokens and an output price of $1.25 per 1 million tokens, teams can effectively manage costs while leveraging the model for high-volume tasks like chatbots and automated report generation. This pricing structure allows organizations to scale their usage based on specific project needs, optimizing both budget and performance.

๐Ÿ‘ Vision๐Ÿง  Reasoning

Context Window

123,000

Tokens

Input Price / 1M

$0.4200

Prompt tokens

Output Price / 1M

$1.25

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Baidu: ERNIE 4.5 VL 424B A47B Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.4200$0.8350$1.25Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.4200

Current Output / 1M

$1.25

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FAQ

Common pricing and benchmark questions for Baidu: ERNIE 4.5 VL 424B A47B .

How much does Baidu: ERNIE 4.5 VL 424B A47B cost per 1M input tokens?

Baidu: ERNIE 4.5 VL 424B A47B input pricing is $0.4200 per 1M tokens based on the latest synced provider data.

How much does Baidu: ERNIE 4.5 VL 424B A47B cost per 1M output tokens?

Baidu: ERNIE 4.5 VL 424B A47B output pricing is $1.25 per 1M tokens based on the latest synced provider data.

What context window does Baidu: ERNIE 4.5 VL 424B A47B support?

Baidu: ERNIE 4.5 VL 424B A47B supports a context window of 123,000 tokens.

How can I compare Baidu: ERNIE 4.5 VL 424B A47B with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.