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Moondream vs VLM Run

A side-by-side comparison of Moondream and VLM Run, two Vision tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Moondream

Vision

Tiny open vision-language model for efficient image understanding.

View Moondream

VLM Run

Vision

Unified API gateway that extracts structured JSON from images, video, and documents.

View VLM Run

At a glance

Feature comparison of Moondream and VLM Run
AttributeMoondreamVLM Run
CategoryVisionVision
PricingFREEMIUMFREEMIUM
License (differs)Open coreProprietary
Deployment (differs)HybridCloud
Platforms (differs)Web, APIAPI, Web
Model supportSelf-contained (on-device)Self-contained (on-device)
Vendor (differs)M87 LabsAutonomi AI
Capabilities (differs)
  • Model inference / serving
  • Fine-tuning / training
  • OCR / scanned-document extraction
  • Object detection
  • Image classification
  • Fine-tuning / training
  • OCR / scanned-document extraction
  • Document parsing (structured)
  • Object detection
  • Video understanding
  • Structured extraction

The honest brief

Moondream

One of the smallest open VLMs that still points, counts, and detects — a 0.5B checkpoint runs on-device.

  • Open-weights, free to self-host
  • Runs on-device with Photon engine
  • Does pointing, counting, detection
  • OpenAI-compatible cloud API option
  • Small models trail frontier VLMs on hard tasks
  • Narrower than large multimodal LLMs
  • Cloud tier is pay-per-image

VLM Run

Hyper-specialized VLMs plus fine-tuning return parse-ready structured JSON from visual data, rather than free text you have to clean up.

  • One API for images, video, and documents
  • Parsing, OCR, detection, and segmentation
  • Free starter credits
  • Fine-tuning for specialized extraction
  • Pro tier jumps to $799/mo
  • Small team
  • Less brand recognition than incumbents

When to pick which

Both cover Fine-tuning / training, OCR / scanned-document extraction, and Object detection.

Pick Moondream if you need Model inference / serving and Image classification.

  • Model inference / serving (secondary capability)
  • Image classification (primary capability)

Pick VLM Run if you need Document parsing (structured), Video understanding, and Structured extraction.

  • Document parsing (structured) (secondary capability)
  • Video understanding (secondary capability)
  • Structured extraction (primary capability)

Moondream leans on Object detection as a headline capability; VLM Run treats it as secondary.

  • Object detection (primary capability)

They also differ on:

License
Open core · Proprietary
Deployment
Hybrid · Cloud