Model Cost Profile

Baidu: ERNIE 4.5 VL 28B A3B

Developer: baidu

Pricing updated Mar 11, 2026

Input rank: #108Output rank: #128

Live Pricing

Input: $0.1400

Output: $0.5600

Pricing via OpenRouter API ยท Last synced Mar 11, 2026

Baidu's ERNIE 4.5 VL 28B A3B model features an extensive context window of 30,000 tokens, making it suitable for applications requiring deep contextual understanding, such as document summarization and complex dialogue systems. With an input price of $0.14 per million tokens and an output price of $0.56 per million tokens, teams can effectively budget for projects that demand high-volume data processing without incurring excessive costs. This model is particularly advantageous for enterprises looking to integrate advanced natural language processing capabilities into their workflows, enhancing productivity and user engagement.

๐Ÿ‘ Vision๐Ÿ”ง Tool Calling๐Ÿง  Reasoning

Context Window

30,000

Tokens

Input Price / 1M

$0.1400

Prompt tokens

Output Price / 1M

$0.5600

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Baidu: ERNIE 4.5 VL 28B A3B Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 โ€” Mar 11
$0.1400$0.3500$0.5600Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$0.1400

Current Output / 1M

$0.5600

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FAQ

Common pricing and benchmark questions for Baidu: ERNIE 4.5 VL 28B A3B.

How much does Baidu: ERNIE 4.5 VL 28B A3B cost per 1M input tokens?

Baidu: ERNIE 4.5 VL 28B A3B input pricing is $0.1400 per 1M tokens based on the latest synced provider data.

How much does Baidu: ERNIE 4.5 VL 28B A3B cost per 1M output tokens?

Baidu: ERNIE 4.5 VL 28B A3B output pricing is $0.5600 per 1M tokens based on the latest synced provider data.

What context window does Baidu: ERNIE 4.5 VL 28B A3B support?

Baidu: ERNIE 4.5 VL 28B A3B supports a context window of 30,000 tokens.

How can I compare Baidu: ERNIE 4.5 VL 28B A3B 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.