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ModelCap

ERNIE 4.5 VL 424B A47B

Official publisher releaseOpen weights

Baidu

ERNIE 4.5 VL 424B A47B is a language model from Baidu. 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 123K tokens of context, and its weights are openly downloadable.

Figures as of 6 Nov 2026, 14:10 UTC · download the public dataset · methodology

ModelCap Index · Current board
—
Index position pending
Market Gravity
7.0
Secondary market signal
Input
Self-hosted
weights only · no listed API price
Output
Self-hosted
weights only · no listed API price
Context
123K
tokens
Providers
0
endpoints

Providers

Uptime measured over the last 30 minutes

No provider is currently serving this model.

ModelCap Index · Current board

Methodology
—
Index position pending
Technical details
Public rank basis
Index position pending (abstained)
Evidence label
Index position pending · no public benchmark rows
Index support
0.0% · not applicable
Identity binding
Exact catalogue product · baidu/baidu/ernie-4.5-vl-424b-a47b · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata baidu/ERNIE-4.5-VL-424B-A47B-PT@a3d5a8439d67c9a69003a1f7aac0961c6f1bc20d (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)
41.9
Surface (context / tools / modalities)
64.8
Freshness
15.2
  • · HF 30d downloads 984
  • · Catalogue: context 123000, reasoning, modalities Image/Text
  • · First seen 2025-06-30

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
59.9
45.1–74.6 uncertainty interval
Excluded from rank
Confidence
75%
Training support
221 models · 129 lineages
Out-of-domain check
in domain
Feature coverage
100%
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
52.4
partial · 56% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
23.0
Evaluation provenance
0.0

Not yet published: the base model it derives from, a current serving provider, measured provider uptime, published provider pricing, 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
7.0
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%
41.9

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

Freshness5%
15.2

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

Specification

Model ID
baidu/ernie-4.5-vl-424b-a47b
Context window
123K tokens
Declared output cap
16K tokens

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
Image, Text
Outputs
Text
Tokenizer
Other
Cached input tokens
Not offered
First seen on OpenRouter
30 Jun 2025
Knowledge cutoff
2025-03-31

Capabilities

  • 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
a3d5a8439d67
Parameters
423.5B
Architecture
Ernie4_5_VLMoeForConditionalGeneration
Model type
ernie4_5_moe_vl
Hugging Face downloads (30d)
984
Downloads (all time)
327K
Likes
107
Repository updated
16 Jan 2026, 07:11 UTC

ERNIE 4.5 VL 424B A47B: common questions

How does ERNIE 4.5 VL 424B A47B rank among AI models?

ERNIE 4.5 VL 424B A47B 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 ERNIE 4.5 VL 424B A47B cost per 1M tokens?

No live API price is listed for ERNIE 4.5 VL 424B A47B in the current snapshot as of 6 November 2026 because no serving endpoint is published. ModelCap shows a price only when a provider currently lists one.

What is the context window of ERNIE 4.5 VL 424B A47B?

ERNIE 4.5 VL 424B A47B has a published context window of 123K tokens (123,000). The snapshot lists a 16,000 token catalogue-declared route output cap. 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 ERNIE 4.5 VL 424B A47B 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 baidu/ERNIE-4.5-VL-424B-A47B-PT on Hugging Face.

When was ERNIE 4.5 VL 424B A47B released?

ERNIE 4.5 VL 424B A47B first appeared in the catalogue on 30 Jun 2025, with a published knowledge cutoff of 2025-03-31. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.