Model: Baidu: ERNIE 4.5 VL 424B A47B , Context: 123000, Cost: $0.42 per 1M input tokens, $1.25 per 1M output tokens
Note: Calculation is approximate based on public data. Prices may change, check official websites.
The Baidu: ERNIE 4.5 VL 424B A47B Token Cost Calculator helps you estimate the expenses for using Baidu's advanced multimodal Mixture-of-Experts (MoE) model. This powerful model, part of the ERNIE 4.5 series, features 424B total parameters with 47B active per token, and supports cross-modal reasoning, image understanding, and long-context generation with a context window of 123,000 tokens.
This calculator allows you to quickly determine the cost based on the number of input and output tokens, as well as the number of requests. The model pricing is set at $0.42 per 1 million input tokens and $1.25 per 1 million output tokens.
Calculation Formula:
Total Cost = [(Number of Input Tokens / 1,000,000) × $0.42] + [(Number of Output Tokens / 1,000,000) × $1.25] × Number of Requests
Example: If you process 100,000 input tokens and 50,000 output tokens in a single request:
- Input Cost: (100,000 / 1,000,000) × $0.42 = $0.042
- Output Cost: (50,000 / 1,000,000) × $1.25 = $0.0625
- Total Cost: $0.042 + $0.0625 = $0.1045
Use this tool to plan your expenditures for projects utilizing the Baidu: ERNIE 4.5 VL 424B A47B model.