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GLM 4.6V Flash

Official publisher releaseOpen weights

Zai Org

GLM 4.6V Flash is a language model from Zai Org. It does not hold a position on ModelCap's current board yet; it is placed automatically once its model card or a public benchmark compares it with ranked models. It reads up to 131K tokens of context, and its weights are openly downloadable.

Figures as of 6 Nov 2026, 20:49 UTC · download the public dataset · methodology

ModelCap Index · Current board
—
Index position pending
Market Gravity
14.0
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

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$0.90131K1252 ms35.4 tok/stools
zai-org
live · model author
———3908 ms63.5 tok/stools

Reported evaluation leads (9)

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
MBZUAI/longshot-bench
overall
—33.82
Unpinned
not published
Reported
Quarantined
MBZUAI/longshot-bench
core_perception
—26.56
Unpinned
not published
Reported
Quarantined
MBZUAI/longshot-bench
reasoning
—38.53
Unpinned
not published
Reported
Quarantined
MBZUAI/longshot-bench
information
—31.75
Unpinned
not published
Reported
Quarantined
MBZUAI/longshot-bench
multimodal
—38.44
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
—
Index position pending
Technical details
Public rank basis
Index position pending (abstained)
Evidence label
Index position pending · placement uncalibrated
Index support
0.0% · not applicable
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)
84.2
Surface (context / tools / modalities)
60.2
Freshness
28.0
  • · HF 30d downloads 39689
  • · 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
28.2
13.4–43.1 uncertainty interval
Excluded from rank
Confidence
75%
Training support
221 models · 129 lineages
Out-of-domain check
in domain
Feature coverage
86%
Lineage-held-out error
8.3 MAE

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

Deployment readiness

Metadata index
60.9
partial · 70% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
51.3
Evaluation provenance
0.0

Not yet published: the base model it derives from, measured provider uptime, 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
14.0
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%
84.2

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

Freshness5%
28.0

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

Specification

Model ID
zai-org/GLM-4.6V-Flash
Context window
131K tokens
Declared output cap
Unknown

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text, Image
Outputs
Text
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)
40K
Downloads (all time)
1.4M
Likes
633
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 6 November 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 6 November 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). Its catalogue-declared route output cap is unknown. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context 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.