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ModelCap

Mage VL

Official publisher releaseOpen weights

Microsoft

Mage VL is a language model from Microsoft. It does not hold a position on ModelCap's current board. Its weights are openly downloadable.

Figures as of 2 Oct 2026, 03:44 UTC · download the public dataset · methodology

ModelCap Index · Current board
—
Not scored
Market Gravity
14.9
Secondary market signal

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Self-hosted
weights only · no listed API price
Output
Self-hosted
weights only · no listed API price
Context
—
tokens
Providers
0
endpoints

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
—
Not scored
Technical details
Public rank basis
Not scored (abstained)
Evidence label
Not scored · no public benchmark rows
Index support
0.0% · not applicable
Identity binding
Exact catalogue product · microsoft/microsoft/Mage-VL · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata microsoft/Mage-VL@d88b153285f1633a61b2f693c59c8576693af185 (not the evaluation revision)
Index observations used
0
Architecture fallback
abstained · 0% coverage · 0 anchors
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
—
Evidence status
No admitted measured evidence
General preference
—
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
—
Liquidity (providers × uptime)
—
Open reach (HF downloads)
73.8
Surface (context / tools / modalities)
15.0
Freshness
77.0
  • · HF 30d downloads 13810
  • · Catalogue: modalities Text/Image
  • · First seen 2026-07-25

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Experimental capability estimate

Estimate policy
23.4
6.7–40.1 uncertainty interval
Excluded from rank
Confidence
70%
Training support
241 models · 138 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
9.1 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
47.9
partial · 52% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

Not yet published: the base model it derives from, a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
14.9
OpenRouter weekly popularity
Not listed

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

No matched Arena rating

This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.

Market Gravity breakdown

Usage55%
0.0

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
0.0

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
73.8

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
77.0

Time since first public availability, on a six-month half-life.

Specification

Model ID
microsoft/Mage-VL
Inputs
Text, Image
Outputs
Text
Cached input tokens
Not offered
First seen on OpenRouter
25 Jul 2026

Capabilities

  • Not supported: Reasoning
  • Not supported: Tool use
  • Not supported: Structured output
  • Not supported: Response format
  • Not supported: Moderated

Weights & access

Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.

Access
Open weights
Licence
apache-2.0
Pinned revision
d88b153285f1
Parameters
4.7B
Architecture
MageVLForConditionalGeneration
Model type
mage_vl
Hugging Face downloads (30d)
14K
Downloads (all time)
522K
Likes
414
Repository updated
10 Aug 2026, 09:23 UTC

Mage VL: common questions

How does Mage VL rank among AI models?

Mage VL has no public ModelCap Index position as of 2 October 2026: the snapshot lacks enough matched benchmark evidence, or the identity match is unresolved. Its catalogue facts (price, context, providers) are shown without a rank.

How much does Mage VL cost per 1M tokens?

No live API price is listed for Mage VL in the current snapshot as of 2 October 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Mage VL open-weight?

Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is microsoft/Mage-VL on Hugging Face.

When was Mage VL released?

Mage VL first appeared in the catalogue on 25 Jul 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.