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ModelCap

GLM 4.6V Flash

Official publisher releaseOpen weights

Zai Org·zai-org/GLM-4.6V-Flash

GLM 4.6V Flash has a published context limit of 131K tokens in the ModelCap catalogue as of 22 Sept 2026, 03:10 UTC.

GLM 4.6V Flash weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 03:10 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
Not scored · 0% support · score interval not available
Market Gravity
14.7
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
131K
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
novita
live
$0.30$0.90131K1429 ms51.4 tok/stools

Reported evaluation leads (4)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
llamaindex/ExtractBench
mean
45.19
Unpinned
not published
Reported
Quarantined
llamaindex/ExtractBench
short
47.28
Unpinned
not published
Reported
Quarantined
llamaindex/ExtractBench
medium
44.52
Unpinned
not published
Reported
Quarantined
llamaindex/ExtractBench
long
22.17
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
Not scored · card unreadable
Public rank basis
Not scored (abstained)
Index support
0.0% · not applicable
Index interval
Not available
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · zai-org/zai-org/GLM-4.6V-Flash · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata zai-org/GLM-4.6V-Flash@411bb4d77144a3f03accbf4b780f5acb8b7cde4e (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)
86.6
Surface (context / tools / modalities)
60.2
Freshness
33.3
  • · HF 30d downloads 65567
  • · Catalogue: context 131072, tools, modalities Text/Image
  • · First seen 2025-12-07

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
32.5
15.0–49.9 uncertainty interval
Excluded from rank
Confidence
70%
Training support
209 models · 120 lineages
Out-of-domain check
in domain
Feature coverage
86%
Lineage-held-out error
10.0 MAE

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

Deployment readiness

Metadata index
60.1
partial · 70% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
48.7
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, deployability.measured-provider-uptime, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

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

Market activity

Venue coverage
Market Gravity
14.7
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%
86.6

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

Freshness5%
33.3

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

Specification

Context window
131K tokens
Max output
Inputs
Text, Image
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
7 Dec 2025

Capabilities

  • Not supported: Reasoning
  • 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
mit
Pinned revision
411bb4d77144
Parameters
10.3B
Architecture
Glm4vForConditionalGeneration
Model type
glm4v
Hugging Face downloads (30d)
66K
Downloads (all time)
1.3M
Likes
627
Repository updated
9 Dec 2025, 18:06 UTC

GLM 4.6V Flash: common questions

How does GLM 4.6V Flash rank among AI models?

GLM 4.6V Flash has no public ModelCap Index position as of 22 September 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 GLM 4.6V Flash cost per 1M tokens?

No live API price is listed for GLM 4.6V Flash in the current snapshot as of 22 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

What is the context window of GLM 4.6V Flash?

GLM 4.6V Flash has a published context window of 131K tokens (131,072). Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.

Is GLM 4.6V Flash open-weight?

Open weights (mit). 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 zai-org/GLM-4.6V-Flash on Hugging Face.

When was GLM 4.6V Flash released?

GLM 4.6V Flash first appeared in the catalogue on 7 Dec 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.