Project AURIONAI Use-Cases Research & Innovation
LG AI Research
reasoning

EXAONE 4.0 (32B)

LG AI Research 32B model that unifies reasoning and non-reasoning modes; weights are under a non-commercial research licence.

Figure from the EXAONE 4.0 (32B) paper: Performance of various models across six HELMET task categories, Recall, RAG, Passage Re-ranking, ICL, LongQA, and Summarization, at different context lengths (.
Levelmodel
Classreasoning
Parameters32B
Context131,072
Released15 Jul 2025
Opennessopen weights restricted
Runs onnot in the notes
Statusactive

Benchmark Results

vendor-reported
Reasoning modevendor-reported
85.3
050100

Score in %. Higher is better.

EXAONE 4.0 model cardJul 2025 huggingface.co
GPQA Diamondknowledge and reasoning
Reasoning modevendor-reported
75.4
050100

Score in %. Higher is better.

EXAONE 4.0 model cardJul 2025 huggingface.co
Reasoning modevendor-reported
66.7
050100

Score in %. Higher is better.

EXAONE 4.0 model cardJul 2025 huggingface.co
MMLU-Proknowledge and reasoning
Reasoning modevendor-reported
81.8
050100

Score in %. Higher is better.

EXAONE 4.0 model cardJul 2025 huggingface.co
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

R&D Topics

Identity

Developer
LG AI Research
Family
EXAONE
Released
15 Jul 2025 sourcesannouncement page
Weights published
–
Record checked
11 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
dense transformer 64 layers, GQA (40 query, 8 KV heads), hybrid local sliding-window and global attention at 3:1, QK-Reorder-Norm; unified reasoning and non-reasoning modes
Total parameters
32B sources
Active parameters
–
Checkpoint parameters
–
Note
30.95B without embeddings
Context length
131,072 tokens
Input
text
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights restricted
Licence
EXAONE AI Model License Agreement 1.2 - NC sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
English, Korean, Spanish
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2507.11407 https://arxiv.org/abs/2507.11407
  2. huggingface.co/LGAI-EXAONE/EXAONE-4.0-32B https://huggingface.co/LGAI-EXAONE/EXAONE-4.0-32B
  3. huggingface.co/LGAI-EXAONE/EXAONE-4.0-32B/blob/main/LICENSE https://huggingface.co/LGAI-EXAONE/EXAONE-4.0-32B/blob/main/LICENSE

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "EXAONE 4.0 (32B)", https://aurion.semai.id/models/lg-ai-research-exaone-4-0-32b/, records of October 2026.