Context Window
123,000
Tokens
Model Cost Profile
Developer: baidu
Pricing updated 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.
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
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.4200 |
| Output (Completion) | $1.25 |
Price History
Current Input / 1M
$0.4200
Current Output / 1M
$1.25
Estimate monthly spend for Baidu: ERNIE 4.5 VL 424B A47B based on your workload.
Estimated Monthly Cost
$26
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Baidu: ERNIE 4.5 VL 424B A47B .
Baidu: ERNIE 4.5 VL 424B A47B input pricing is $0.4200 per 1M tokens based on the latest synced provider data.
Baidu: ERNIE 4.5 VL 424B A47B output pricing is $1.25 per 1M tokens based on the latest synced provider data.
Baidu: ERNIE 4.5 VL 424B A47B supports a context window of 123,000 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.