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Baidu: ERNIE 4.5 300B A47B

ERNIE-4.5-300B-A47B is a 300B parameter Mixture-of-Experts (MoE) language model developed by Baidu as part of the ERNIE 4.5 series. It activates 47B parameters per token and supports text generation in both English and Chinese. Optimized for high-throughput inference and efficient scaling, it uses a heterogeneous MoE structure with advanced routing and quantization strategies, including FP8 and 2-bit formats. This version is fine-tuned for language-only tasks and supports reasoning, tool parameters, and extended context lengths up to 131k tokens. Suitable for general-purpose LLM applications with high reasoning and throughput demands.

Context Window

123K

Input Price

$0.2800/M tokens

Output Price

$1.10/M tokens

Modality

text->text

Pricing Breakdown
Cost per million tokens for input and output
Input$0.2800/M tokens
Output$1.10/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.003900

Context Window Size
Maximum tokens the model can process in a single request
Context Window123K tokens
12% of 1M max

~92K

Words Equivalent

~62

Pages of Text

~1230

Code Functions

Best Use Cases
What this model excels at
MathReasoningAnalysis

Related Categories:

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