Moondream3 Preview Query
Playground
Try it on WavespeedAI!Moondream3 Query answers natural language questions on images with visual Q&A and optional chain of thought for detailed explanations. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Moondream 3 — Visual Question Answering (VQA)
Moondream 3 Query is an advanced vision-language model designed to understand images and answer natural-language questions about them. It combines fast inference, accurate scene understanding, and optional reasoning for visual explanation — ideal for analysis, education, and creative applications.
✨ Key Features
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Visual Q&A Ask questions about any image — people, objects, actions, or scenes — and receive natural language answers.
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Chain-of-Thought Reasoning Enable reasoning mode to let the model explain how it reached its conclusion, useful for analysis and debugging.
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Accurate Visual Understanding Trained on diverse, high-quality image-text datasets for reliable recognition of complex visual contexts.
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Fast and Lightweight Optimized for low latency and efficient inference while maintaining strong reasoning performance.
⚙️ Example Usage
🔹 Basic Query
{
"image": "https://example.com/photo.jpg",
"prompt": "What is the person in the image doing?"
}🔹 Query with Reasoning
{
"image": "https://example.com/photo.jpg",
"prompt": "What emotions are visible in this scene?",
"reasoning": true
}💡 Best Practices
- Ask clear and specific questions for higher accuracy.
- Enable reasoning mode for tasks that require multi-step or contextual analysis.
- Supported image formats: JPEG, PNG, WebP
- Maximum image size: 10 MB
💰 Pricing
- $0.005 per request
- Volume discounts available — please contact WaveSpeedAI for enterprise or batch pricing.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/moondream3-preview/query" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"reasoning": false,
"enable_sync_mode": true
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | Image to be analyzed. Provide an HTTPS URL or upload an image file. | |
| prompt | string | Yes | - | Your question about the image. | |
| reasoning | boolean | No | false | - | Enable chain-of-thought reasoning to get more detailed explanations. |
| enable_sync_mode | boolean | No | true | - | If set to true, the function will wait for the result before returning the response. This property is only available through the API. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |