ERNIE-4.5-300B-A47B
ERNIE-4.5-300B-A47B is an AI model published by Baidu, released on 2025-06-30, for Chat model, with 300B parameters, and 128K context length, requiring about 580GB storage, with a 96.60 score on GSM8K.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.550/ 1M | $2.20/ 1M |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
Benchmark Results
ERNIE-4.5-300B-A47B currently shows benchmark results led by GSM8K (1 / 70, score 96.60), BBH (1 / 21, score 94.30), DROP (2 / 9, score 91.10). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
General Knowledge
3 evaluationsMath and Reasoning
4 evaluationsPublisher
Model Overview
ERNIE-4.5-300B-A47B is an AI model published by Baidu, released on 2025-06-30, for Chat model, with 300B parameters, and 128K context length, requiring about 580GB storage, with a 96.60 score on GSM8K.
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