Context Window
123,000
Tokens
Model Cost Profile
Developer: baidu
Pricing updated Mar 11, 2026
Live Pricing
Input: $0.2800
Output: $1.10
Pricing via OpenRouter API ยท Last synced Mar 11, 2026 ยท MMLU score via public benchmark data
Baidu's ERNIE 4.5 300B A47B model features an extensive context window of 123,000 tokens, making it suitable for applications requiring in-depth analysis and understanding of lengthy documents or conversations. With an input price of $0.28 per million tokens and an output price of $1.10 per million tokens, teams can effectively budget for high-volume processing tasks, such as content generation, summarization, and complex query handling. This model is particularly advantageous for enterprises needing to integrate advanced natural language processing capabilities into their products while managing operational costs efficiently.
Context Window
123,000
Tokens
Input Price / 1M
$0.2800
Prompt tokens
Output Price / 1M
$1.10
Completion tokens
Intelligence (MMLU)
77.6
Massive Multitask Language Understanding
Standardized evaluation scores for Baidu: ERNIE 4.5 300B A47B .
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.2800 |
| Output (Completion) | $1.10 |
Price History
Current Input / 1M
$0.2800
Current Output / 1M
$1.10
Estimate monthly spend for Baidu: ERNIE 4.5 300B A47B based on your workload.
Estimated Monthly Cost
$20
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.
Common pricing and benchmark questions for Baidu: ERNIE 4.5 300B A47B .
Baidu: ERNIE 4.5 300B A47B input pricing is $0.2800 per 1M tokens based on the latest synced provider data.
Baidu: ERNIE 4.5 300B A47B output pricing is $1.10 per 1M tokens based on the latest synced provider data.
Baidu: ERNIE 4.5 300B 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.