Baidu's ERNIE 4.5 21B A3B, released in August 2025, is a powerful text-based model designed to handle complex multimodal tasks. With a massive context window of 120,000 tokens, it excels in understanding and generating text. The model employs a sophisticated Mixture-of-Experts architecture, activating 3 billion parameters per token for efficient processing. It supports a wide range of applications by utilizing advanced post-training techniques like SFT, DPO, and UPO, ensuring optimal performance. Whether you're working with text-to-text transformations or seeking improved task handling, ERNIE 4.5 provides robust solutions.
Use Cases
Here are a few ways teams apply Baidu: ERNIE 4.5 21B A3B in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Enhance multimodal understanding and generation
Optimize text-based applications
Improve task handling with specialized routing
Efficient inference with multi-expert collaboration
Key Features
A quick look at the capabilities that make this model useful in real projects.
21B total parameters with 3B activated per token
120,000 token context length
Text-to-text processing capabilities
Mixture-of-Experts architecture
Advanced post-training techniques
Specs
Overview
Vendor
baidu
Model ID
baidu/ernie-4.5-21b-a3b
Release
2025-08-12
Modalities & context
Input
text
Output
text
Context
120,000 tokens
Parameters & defaults
Supported parameters: frequency_penalty, max_tokens, presence_penalty, repetition_penalty, seed, stop, temperature, tool_choice, tools, top_k, top_p
Defaults: temperature 0.8, top_p 0.8
Benchmark tests: Baidu: ERNIE 4.5 21B A3B
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Text
Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
Artificial intelligence (AI) has the potential to revolutionize work, leisure, and creativity in profound ways. In the workplace, AI could automate repetitive tasks, freeing humans to focus on higher-order thinking, innovation, and complex problem-solving. This shift may democratize access to skilled roles, reducing barriers for underrepresented groups. In leisure, AI-driven personalization could curate tailored experiences—from hyper-customized entertainment to adaptive fitness programs—enhancing enjoyment and well-being. For creativity, AI tools like generative algorithms could act as collaborators, sparking inspiration, refining ideas, and even producing novel works across media. By handling data-driven tasks, AI might also reduce burnout, enabling a healthier work-life balance. However, ethical challenges—such as job displacement, algorithmic bias, and intellectual property rights—must be addressed. Ultimately, AI’s positive impact hinges on equitable deployment, ensuring it amplifies human potential rather than replaces it. When harnessed thoughtfully, it could redefine productivity, leisure, and creativity as interconnected, human-centric endeavors.
Run this prompt on Upend.AI