Skip to content
ModelCap

ERNIE 4.5 VL 424B A47B

Official publisher releaseOpen weights

Baidu·baidu/ernie-4.5-vl-424b-a47b

ERNIE 4.5 VL 424B A47B listed OpenRouter input price is $0.42 per 1M tokens and listed output price is $1.25 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.

ERNIE 4.5 VL 424B A47B has a published context limit of 123K tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.

ERNIE 4.5 VL 424B A47B has 1 published OpenRouter serving endpoint, from OpenRouter as of 22 Sept 2026, 02:49 UTC.

ERNIE 4.5 VL 424B A47B weight access is open weights, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
Not scored · 0% support · score interval not available
Market Gravity
7.1
Secondary market signal
Input
$0.42
per 1M tokens
Output
$1.25
per 1M tokens
Context
123K
tokens
Providers
1
endpoint
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
Novitafp16$0.42$1.25123Kfp16

ModelCap Index · Current board

Methodology
Not scored · no public benchmark rows
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 · 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)
1.9
Liquidity (providers × uptime)
20.3
Open reach (HF downloads)
0.7
Surface (context / tools / modalities)
64.8
Freshness
18.1
  • · OpenRouter popularity #288
  • · 1 live provider
  • · HF 30d downloads 545
  • · 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
54.8
37.7–71.9 uncertainty interval
Excluded from rank
Confidence
70%
Training support
209 models · 120 lineages
Out-of-domain check
in domain
Feature coverage
100%
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
65.9
partial · 76% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
100.0
Deployability
68.0
Evaluation provenance
0.0

Missing: artifactReproducibility.base-lineage, 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
7.1
OpenRouter weekly popularity
#288 of 322

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%
1.9

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
20.3

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

Open reach15%
0.7

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

Freshness5%
18.1

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

Specification

Context window
123K tokens
Max output
16K tokens
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)
545
Downloads (all time)
325K
Likes
105
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 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 ERNIE 4.5 VL 424B A47B cost per 1M tokens?

ERNIE 4.5 VL 424B A47B is listed at $0.42 per 1M input tokens and $1.25 per 1M output tokens as of 22 September 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $1.46 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

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) and a maximum output of 16K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own 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.

Which API providers serve ERNIE 4.5 VL 424B A47B?

One provider serves ERNIE 4.5 VL 424B A47B through OpenRouter as of 22 September 2026: Novita. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

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.