Baidu: ERNIE 4.5 300B A47B

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Model Card

ERNIE 4.5 300B A47B is Baidu's flagship text-only large language model featuring 300B total parameters with 47B active per token via MoE architecture. It demonstrates state-of-the-art performance on instruction following and knowledge benchmarks like IFEval, SimpleQA, and ChineseSimpleQA. The model supports 131K context length and excels at text understanding, generation, reasoning, and coding.

Context Window 131K

tokens

Max Output 12K

tokens

Input Cost $0.28

per million tokens

Output Cost $1.1

per million tokens

Release Date Jun 30, 2025

Code Example

Add AI to your app with the Puter.js AI API, no API keys or setup required.

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms").then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms").then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

Frequently Asked Questions

How do I use ERNIE 4.5 300B A47B?

ERNIE 4.5 300B A47B is no longer available through Puter.js. Explore other AI models for alternatives.

What is the pricing for ERNIE 4.5 300B A47B?

ERNIE 4.5 300B A47B costs $0.28 per 1M input tokens and $1.1 per 1M output tokens.

	Price per 1M tokens
Input	$0.28
Output	$1.1

Who created ERNIE 4.5 300B A47B?

ERNIE 4.5 300B A47B was created by Baidu and released on Jun 30, 2025.

What is the context window of ERNIE 4.5 300B A47B?

ERNIE 4.5 300B A47B supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.

What is the max output length of ERNIE 4.5 300B A47B?

ERNIE 4.5 300B A47B can generate up to 12K tokens in a single response.

How does ERNIE 4.5 300B A47B perform on benchmarks?

ERNIE 4.5 300B A47B scores 7.5 on the Artificial Analysis Intelligence Index, outperforming 27% of tracked models. On math, it scores 41.3 (outperforms 42% of models).

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the ERNIE 4.5 300B A47B API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

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