Baidu: ERNIE 4.5 300B A47B
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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
Output Speed 23
tokens / sec
Latency 2.33s
time to first token
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>
More AI Models From Baidu
ERNIE 4.5 VL 28B A3B
ERNIE 4.5 VL 28B A3B is a lightweight multimodal vision-language model with 28B total parameters but only 3B active per token. It processes both images and text simultaneously, enabling tasks like image comprehension, chart analysis, document understanding, and cross-modal reasoning. The model offers both thinking and non-thinking modes while matching performance of larger models like Qwen2.5-VL-32B.
ChatERNIE 4.5 VL 424B A47B
ERNIE 4.5 VL 424B A47B is Baidu's largest multimodal vision-language model with 424B total parameters and 47B active per token. It supports up to 131K context tokens and excels at visual reasoning, document/chart understanding, and visual question answering with both thinking and non-thinking modes. In thinking mode, it approaches or surpasses OpenAI o1 on reasoning benchmarks like MathVista, MMMU, and VisualPuzzle.
Frequently Asked Questions
You can access ERNIE 4.5 300B A47B by Baidu through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add ERNIE 4.5 300B A47B to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $0.28 |
| Output | $1.1 |
ERNIE 4.5 300B A47B was created by Baidu and released on Jun 30, 2025.
ERNIE 4.5 300B A47B supports a context window of 131K tokens. For reference, that is roughly equivalent to 262 pages of text.
ERNIE 4.5 300B A47B can generate up to 12K tokens in a single response.
ERNIE 4.5 300B A47B scores 15.0 on the Artificial Analysis Intelligence Index, outperforming 35% of tracked models. On coding, it scores 14.5 (outperforms 38% of models). On math, it scores 41.3 (outperforms 42% of models).
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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