ER
ERNIE-4.5-VL-28B-Base-A3B
Release date: 2025-06-28Updated: 2025-06-28Views: 665
Parameters
28B
Context length
128K
Multilingual
Supported
Reasoning ability
3/5
ERNIE-4.5-VL-28B-Base-A3B is an AI model published by Baidu, released on 2025-06-28, for Multimodal model, with 28B parameters, and 128K context length, requiring about 56GB storage.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
ERNIE-4.5-VL-28B-Base-A3B
Model basics
Reasoning traces
No data
Thinking modes
Thinking modes not supported
Context length
128K tokens
Max output length
64K tokens
Model type
Multimodal model
Modality (in / out)
Text, Image → Text
Release date
2025-06-28
Model file size
56GB
MoE architecture
Yes
Total params / Active params
28B / 3B
Knowledge cutoff
No data
ERNIE-4.5-VL-28B-Base-A3B
Open source & experience
Code license
Weights license
MIT License- Commercial use permitted
GitHub repo
N/A
Hugging Face
Live demo
N/A
ERNIE-4.5-VL-28B-Base-A3B
Official resources
Paper
N/A
DataLearnerAI blog
N/A
ERNIE-4.5-VL-28B-Base-A3B
API details
API speed
4/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Standard
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $2.50/ 1M tokens | $80.00/ 1M tokens |
| Image | - | $2.50/ 1M tokens | — |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
ERNIE-4.5-VL-28B-Base-A3B
Publisher
ERNIE-4.5-VL-28B-Base-A3B
Model Overview
ERNIE-4.5-VL-28B-Base-A3B is an AI model published by Baidu, released on 2025-06-28, for Multimodal model, with 28B parameters, and 128K context length, requiring about 56GB storage.
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