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moondream · Balanced

Moondream 3.1 9B A2B

Added Oct 16, 2026

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Use in the app

Moondream 3.1 is the successor to Moondream 3 Preview: a distinct 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)
120 tokens
Longer than 11% of 468 models

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Moondream 3.1 9B A2B compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Moondream 3.1 9B A2BmoondreamThis modelGLM 4.1V Thinking FlashXZ.aiRemove
ProvidermoondreamZ.ai
Discovery tierBalancedBalanced
AddedOct 16, 2026Jul 9, 2025
Limits
Context window32K64KBest
Max output4.1K8.19KBest
Average output120 tokens—
Pricing, USD per 1M tokens
Input$0.30$0.30
Output$2.50$0.30Best
Capabilities
ReasoningYesNo
VisionYesYes
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.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moondream/moondream3.1-9b-a2b",
    "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/moondream3.1-9b-a2b",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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