Qwen3-Omni-30B-A3B-Captioner
About Qwen3-Omni-30B-A3B-Captioner
Qwen3-Omni-30B-A3B-Captioner is a Vision-Language Model (VLM) from Alibaba's Qwen team, part of the Qwen3 series. It is specifically designed for generating high-quality, detailed, and accurate image captions. Based on a 30B total parameter Mixture of Experts (MoE) architecture, the model can deeply understand image content and translate it into rich, natural language text
Available Serverless
Run queries immediately, pay only for usage
$
0.1
/
$
0.4
Per 1M Tokens (input/output)
Metadata
Specification
State
Available
Architecture
Calibrated
Yes
Mixture of Experts
Yes
Total Parameters
30B
Activated Parameters
Reasoning
No
Precision
FP8
Context length
66K
Max Tokens
66K
Supported Functionality
Serverless
Supported
Serverless LoRA
Not supported
Fine-tuning
Not supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Supported
JSON Mode
Supported
Structured Outputs
Not supported
Tools
Supported
Fim Completion
Supported
Chat Prefix Completion
Supported
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Input:
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