ERNIE 5.1
Description
ERNIE 5.1 is the latest model in the Wenxin series, with comprehensive upgrades to foundational capabilities, and notable improvements in agent, knowledge, reasoning, and deep search. This upgrade employs decoupled fully asynchronous reinforcement learning technology to address the challenges of training‑inference numerical deviation, heterogeneous resource utilisation, and global long‑tail effects that large models face when evolving toward autonomous agent decision‑making. It is complemented by large‑scale agent post‑training techniques to enhance model capability and generalisation performance, integrating environment, expert, and fusion steps in a synergistic manner that ensures training efficiency while significantly improving the model's stability and performance in complex tasks.
Specifications
- Type
- Text
- Vendor
- 百度
- Model ID
-
ernie-5.1 - Context size
- 119K
- Max input length
- 119K
- Max output length
- 64K
- Requests per minute
- 500
- Tokens per minute
- 1000000
Pricing
Input ≤ 32k
- Input base price
- $0.00015714 / 1000 tokens
- Output base price
- $0.00055014 / 1000 tokens
32k < Input ≤ 128k
- Input base price
- $0.00015714 / 1000 tokens
- Output base price
- $0.00055014 / 1000 tokens