ER
ERNIE-4.5-VL-28B-Base-A3B
Release date: 2025-06-28Updated: 2025-06-28 22:14:42664
Parameters
28B
Context length
128K
Chinese support
Supported
Reasoning ability
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
Not supported
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
GitHub link unavailable
Live demo
No live demo
ERNIE-4.5-VL-28B-Base-A3B
Official resources
Paper
No paper available
DataLearnerAI blog
No blog post yet
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 | $80.00/ 1M |
| Image | - | $2.50/ 1M | - |
ERNIE-4.5-VL-28B-Base-A3B
Benchmark Results
No benchmark data to show.
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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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