Baidu: ERNIE 4.5 300B A47B
baidu/ernie-4.5-300b-a47b
Access ERNIE 4.5 300B A47B from Baidu using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "baidu/ernie-4.5-300b-a47b"
}).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", {
model: "baidu/ernie-4.5-300b-a47b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="baidu/ernie-4.5-300b-a47b",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "baidu/ernie-4.5-300b-a47b",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
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 123K
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 29
tokens / sec
Latency 1.80s
time to first token
Model Playground
Try ERNIE 4.5 300B A47B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How ERNIE 4.5 300B A47B performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 81.1% |
| Humanity's Last Exam Cross-domain reasoning | 3.5% |
| LiveCodeBench Recent coding problems | 46.7% |
| SciCode Scientific programming | 31.5% |
| MATH-500 Competition math | 93.1% |
| AIME 2024 Advanced math exam | 49.3% |
| AIME 2025 Advanced math exam | 41.3% |
| IFBench Instruction following | 39.1% |
| LCR Long-context reasoning | 2.3% |
| Terminal-Bench Hard Agentic terminal tasks | 6.1% |
| τ²-Bench Tool use / agents | 0.0% |
Scores sourced from Artificial Analysis.
Find other Baidu models →
ERNIE 4.5 21B A3B
ERNIE 4.5 21B A3B is a lightweight text-only language model from Baidu using a Mixture-of-Experts architecture with 21B total parameters but only 3B active per token. It excels at general language understanding, generation, reasoning, and coding tasks while remaining computationally efficient. Released under Apache 2.0, it achieves competitive performance against larger models like Qwen3-30B-A3B despite having 30% fewer total parameters.
ChatERNIE 4.5 21B A3B Thinking
ERNIE 4.5 21B A3B Thinking is Baidu's reasoning-enhanced language model built on the 21B A3B architecture with explicit chain-of-thought capabilities. It activates only 3B of its 21B parameters per token while specializing in logic, mathematics, coding, and multi-step reasoning tasks. The model supports extended context up to 131K tokens and is optimized for complex problem-solving through structured thinking.
ChatERNIE 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.
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 123K tokens. For reference, that is roughly equivalent to 246 pages of text.
ERNIE 4.5 300B A47B can generate up to 12K tokens in a single response.
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.
Get started with Puter.js
Add ERNIE 4.5 300B A47B to your app without worrying about API keys or setup.
Read the Docs View Tutorials