moondream · Balanced
Moondream 3 Preview
Moondream 3 Preview is the original 9B mixture-of-experts vision-language checkpoint with 2B active parameters, for visual question answering, captioning, OCR, and visual reasoning. It accepts text or one image with optional reasoning, a 32,000-token context, and up to 4,096 output tokens.
- Reasoning
- Vision
- Input
- Text, Images
- Output
- Text
- Discovery tier
- Balanced
Pricing
USD per 1M tokens- Input
- $0.30
- Output
- $2.50
Reference prices as published by the model provider. API example
Specifications
- Context window
- 32K
- Max output
- 4.1K
- Average output (7 days)
- 94 tokens
- Longer than 9% of 468 models
Side by side
Moondream 3 Preview compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Moondream 3 PreviewmoondreamThis model | Mistral Code LatestMistralRemove | |
|---|---|---|
| Provider | moondream | Mistral |
| Discovery tier | Balanced | Balanced |
| Added | Oct 16, 2026 | Jun 2, 2026 |
| Limits | ||
| Context window | 32K | 256KBest |
| Max output | 4.1K | 32.77KBest |
| Average output | 94 tokens | — |
| Pricing, USD per 1M tokens | ||
| Input | $0.30 | $0.30 |
| Output | $2.50 | $0.90Best |
| Capabilities | ||
| Reasoning | Yes | No |
| Tools | No | Yes |
| Vision | Yes | No |
| Structured output | No | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "moondream/moondream3-preview",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="moondream/moondream3-preview",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)moondream
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