EXAONE 4.0 32B

Official publisher releaseRestricted license

LGAI EXAONE·#251 of 504 in the all-versions archive

EXAONE 4.0 32B is a language model from LGAI EXAONE. It ranks #251 of 504 in ModelCap's all-versions archive, with an Index score of 42.0, modeled from the publisher's launch results against measured models. Its score range of 31.2–52.8 spans positions #187–#347. Its weights are downloadable under a use-restricted licence.

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

ModelCap Index · All-versions archive

42.0#251

Modeled from the publisher's launch results against measured models · range 31.2–52.8

Market Gravity

8.3

Secondary market signal

Superseded by EXAONE 4.0.1 32B. It no longer holds a current-board position; its all-versions archive rank is #251.

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

Input

Unlisted

no listed API price

Output

Unlisted

no listed API price

Context

—

tokens

Providers

endpoints

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

Other versions (1)

EXAONE 4.0.1 32BLanguage board #153last year

ModelCap Index · All-versions archive

Methodology

42.0

Modeled from the publisher's launch results against measured models

All-versions archive

#251 of 504

Score range: 31.2–52.8
Rank range: #187–#347

Technical details

Public rank basis: Modeled · peer benchmarks (architecture)
Evidence label: Modeled · peer benchmarks · global-corpus-prior over 210 held-out anchors (13%); launch card against 6 resolved peers on 13 rows (87%); optimism haircut 0 from cross-lab-probe; shrunk 1.7 up toward the measured corpus
Index support: 40.0% · limited
Identity binding: Exact catalogue product · lgai-exaone/LGAI-EXAONE/EXAONE-4.0-32B · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata LGAI-EXAONE/EXAONE-4.0-32B@a1d54d1c148c30881ed27e035b650da489b51b92 (not the evaluation revision)
Index observations used: 0
Qualified Index evidence point: 42.0

How this position was produced · fused launch placement

No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.

Fused estimate: 42.0 ± 8.5
Independent share: 0%
Shrink toward corpus: +1.7
Peer ceiling share: 0%
Optimism haircut: None required · cross lab probe, 3 probes
Method: precision-weighted-v1

Channels fused into this model’s launch placement
Channel	Estimate	Share
Publisher corpus prior · not independent global-corpus-prior over 210 held-out anchors	53.5 ± 23.8	13%
Launch card against resolved peers · not independent launch card against 6 resolved peers on 13 rows	40.4 ± 9.0	87%

· Launch card row aime-2025: inside the resolved peer range
· Launch card row bfcl-v-3: claims below every resolved peer
· Launch card row gpqa-diamond: inside the resolved peer range
· Launch card row hmmt-feb-2025: inside the resolved peer range
· Launch card row ifeval: inside the resolved peer range
· Launch card row kmmlu-pro: inside the resolved peer range
· Launch card row livecodebench-v-5: inside the resolved peer range
· Launch card row livecodebench-v-6: inside the resolved peer range
· Launch card row math-500: inside the resolved peer range
· Launch card row mmlu-pro: inside the resolved peer range
· Launch card row mmlu-redux: inside the resolved peer range
· Launch card row multi-if: inside the resolved peer range
· Launch card row tau-bench: inside the resolved peer range

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): —
Surface (context / tools / modalities): 0.0
Freshness: 15.9

· Catalogue surface
· First seen 2025-07-11

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

21.8

6.7–37.0 uncertainty interval

Excluded from rank

Confidence: 75%
Training support: 221 models · 129 lineages
Out-of-domain check: in domain
Feature coverage: 71%
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

46.4

partial · 52% metadata coverage

Not capability

Artifact reproducibility: 85.0
Access & legal clarity: 92.5
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: 8.3
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
Liquidity25%: 0.0
Open reach15%: 50.0
Freshness5%: 15.9

Specification

Model ID: LGAI-EXAONE/EXAONE-4.0-32B
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
Outputs: Text
Cached input tokens: Not offered
First seen on OpenRouter: 11 Jul 2025

Capabilities

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

Weights & access

Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.

Access: Restricted license
Licence: exaone
Pinned revision: a1d54d1c148c
Parameters: 32.0B
Architecture: Exaone4ForCausalLM
Model type: exaone4
Hugging Face downloads (30d): 14K
Downloads (all time): 1.1M
Likes: 283
Repository: LGAI-EXAONE/EXAONE-4.0-32B
Repository updated: 4 Aug 2025, 02:19 UTC

EXAONE 4.0 32B: common questions

How does EXAONE 4.0 32B rank among AI models?

EXAONE 4.0 32B is a superseded version and is not on the current board as of 6 November 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.

How much does EXAONE 4.0 32B cost per 1M tokens?

No live API price is listed for EXAONE 4.0 32B 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.

Is EXAONE 4.0 32B open-weight?

Restricted license (exaone). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is LGAI-EXAONE/EXAONE-4.0-32B on Hugging Face.

When was EXAONE 4.0 32B released?

EXAONE 4.0 32B first appeared in the catalogue on 11 Jul 2025. It has since been superseded by EXAONE 4.0.1 32B. Rank and price movements since then are recorded on the site's changes feed.