Author's Description
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.
Key Specifications
Supported Parameters
This model supports the following parameters:
Performance Summary
Baidu's ERNIE-4.5-300B-A47B demonstrates moderate speed performance, ranking in the 27th percentile across various benchmarks. However, it offers competitive pricing, typically providing cost-effective solutions and ranking in the 70th percentile. The model exhibits a notable strength in Coding, achieving 90.0% accuracy, placing it in the 81st percentile for this category. Its instruction following capabilities are also strong, with 68.0% accuracy, ranking in the 83rd percentile. These results suggest the model is well-suited for tasks requiring precise adherence to instructions and programming knowledge. Conversely, the model shows significant weaknesses in several areas. Its performance in Email Classification is very low at 29.0% accuracy (6th percentile), indicating a struggle with nuanced categorization. Similarly, Reasoning (16.0% accuracy, 11th percentile), Ethics (33.0% accuracy, 14th percentile), and General Knowledge (37.5% accuracy, 16th percentile) benchmarks reveal considerable limitations in complex problem-solving, ethical judgment, and broad factual recall. While its cost-effectiveness is a clear advantage, the model's inconsistent accuracy across different domains suggests it is best utilized for its strong coding and instruction-following capabilities rather than general-purpose reasoning or classification tasks.
Model Pricing
Current Pricing
Feature | Price (per 1M tokens) |
---|---|
Prompt | $0.28 |
Completion | $1.1 |
Price History
Available Endpoints
Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
---|---|---|---|---|
Novita
|
Novita | baidu/ernie-4.5-300b-a47b | 123K | $0.28 / 1M tokens | $1.1 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Free | Executions | Accuracy | Cost | Duration |
---|
Other Models by baidu
|
Released | Params | Context |
|
Speed | Ability | Cost |
---|---|---|---|---|---|---|---|
Baidu: ERNIE 4.5 21B A3B | Aug 12, 2025 | 21B | 120K |
Text input
Text output
|
★★★ | ★★★ | $$ |
Baidu: ERNIE 4.5 VL 28B A3B | Aug 12, 2025 | 28B | 30K |
Text input
Image input
Text output
|
★★★ | ★★★★ | $$$ |
Baidu: ERNIE 4.5 VL 424B A47B | Jun 30, 2025 | 424B | 123K |
Text input
Image input
Text output
|
★★ | ★★★★ | $$$$ |