Context Window
120,000
Tokens
Model Cost Profile
Developer: baidu
Pricing updated Mar 11, 2026
Baidu's ERNIE 4.5 21B A3B model offers a robust context window of 120,000 tokens, making it suitable for applications requiring extensive document analysis or long-form content generation. With an input price of $0.07 per 1 million tokens and an output price of $0.28 per 1 million tokens, teams can effectively manage costs while leveraging the model for tasks such as natural language understanding and complex dialogue systems. This model is particularly beneficial for enterprises needing scalable solutions for data-rich environments, where high token capacity enhances performance and user experience.
Context Window
120,000
Tokens
Input Price / 1M
$0.0700
Prompt tokens
Output Price / 1M
$0.2800
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0700 |
| Output (Completion) | $0.2800 |
Price History
Current Input / 1M
$0.0700
Current Output / 1M
$0.2800
Estimate monthly spend for Baidu: ERNIE 4.5 21B A3B based on your workload.
Estimated Monthly Cost
$5.11
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Baidu: ERNIE 4.5 21B A3B.
Baidu: ERNIE 4.5 21B A3B input pricing is $0.0700 per 1M tokens based on the latest synced provider data.
Baidu: ERNIE 4.5 21B A3B output pricing is $0.2800 per 1M tokens based on the latest synced provider data.
Baidu: ERNIE 4.5 21B A3B supports a context window of 120,000 tokens.
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.