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wavespeed-ai/moondream3-preview/query

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.

Image Understanding
Input

Drag & drop or click to upload

preview
Enable chain-of-thought reasoning to get more detailed explanations.

Idle

{
  "answer": "The image shows a woman dressed in a princess costume, wearing a tiara and a necklace. She is standing in front of a building with cherry blossoms in the background. The woman is posing for the picture, looking directly at the camera. The scene evokes a sense of royalty and elegance, with the woman's attire and accessories suggesting a fairytale or fantasy setting."
}

$0.005per run·~200 / $1

Next:

ExamplesView all

What the characters are doing?

What emotions are visible in this scene?

What emotions are visible in this scene?

What is the person in the image doing?

What is the form of the character?

What clothes are the characters wearing?

What emotions are visible in this scene?

What is the person in the image doing?

What emotions are visible in this scene?

Related Models

README

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

  • Visual Q&A Ask questions about any image — people, objects, actions, or scenes — and receive natural language answers.

  • Chain-of-Thought Reasoning Enable reasoning mode to let the model explain how it reached its conclusion, useful for analysis and debugging.

  • Accurate Visual Understanding Trained on diverse, high-quality image-text datasets for reliable recognition of complex visual contexts.

  • 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.
Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Moondream3 Preview Query API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/moondream3-preview/query with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Moondream3 Preview Query below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "reasoning": false
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/moondream3-preview/query" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/moondream3-preview/query";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "reasoning": false
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "reasoning": False
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/wavespeed-ai/moondream3-preview/query", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Moondream3 Preview Query API — Frequently asked questions

What is the Moondream3 Preview Query API?

Moondream3 Preview Query is a WaveSpeedAI model for AI inference, exposed as a REST API 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. You can call it programmatically or try it from the playground above.

How do I call the Moondream3 Preview Query API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/moondream3-preview-query.

How much does Moondream3 Preview Query cost per run?

Moondream3 Preview Query starts at $0.005 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Moondream3 Preview Query accept?

Key inputs: `prompt`, `image`, `enable_sync_mode`, `reasoning`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/moondream3-preview-query.

How long does Moondream3 Preview Query take to generate?

Reported generation time on WaveSpeedAI is around 2 seconds per request. This is an estimate, not a latency guarantee; queue time and input settings can change the total wait. live status is visible in the prediction record.

Can I use Moondream3 Preview Query outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.

llms.txt — wavespeed-ai/moondream3-preview/query for AI agents and LLMs