AI Basics · Homegrown Korean AI · LG AI Research

EXAONE

“A Korean model you can download and run” — the senior researcher who lives buried in papers

📂 Homegrown AI🆓 Free option🇰🇷 Strong Korean📊 Advanced
WHAT

What is EXAONE?

EXAONE is a generative AI model developed in-house by LG AI Research. Its model weights are published on Hugging Face, making it a leading Korean open model that researchers and companies can download and run themselves.

  • 1A Korean model built in-house by LG AI Research
  • 2Download the weights from Hugging Face
  • 3License terms differ from model to model
A woman researcher in her late 30s in a lab coat, handing over a roll of blueprints, generous with everything she knows
The research-lab senior who always has a stack of papers — Nanum Consulting’s character sketch of EXAONE.
WHY

What sets it apart

These are the differences we found by running the same material through several tools in our training sessions.

📥

You can actually download it and run it

The official introduction page also links to the Hugging Face repository. EXAONE 4.5, released in April 2026, has 33 billion parameters, and the 3.5, 4.0 and Deep series are published on the same account. You can run a Korean model you may only have heard about on your own hardware, which is the biggest difference from other big-company models.

🪪

Some models are open for commercial use

Most EXAONE models come with a custom license from LG AI Research, but K-EXAONE 2.0, released as an independent foundation model (750 billion parameters, 37 billion active), is published under the Apache 2.0 license, so its terms are much simpler. What you can do depends on which model you choose.

🧭

Pick the size that fits

The series runs from small models of about 1.2 billion parameters to large ones with hundreds of billions, and quantized versions (FP8, AWQ, GGUF) are published too. You can change the size within the same family to fit your hardware, so you spend less during the testing phase.

⚖️ The weaknesses are clear, too

This is not a chatbot service you sign up for and use right away. You need hardware to run the downloaded model files and someone to do that work. Licenses also differ by model, so read the license for your chosen model at least once before using it for work.

💡 In plain English

It’s like a research lab handing over the entire blueprint. You’re free to take it, but you have to set up your own factory to build it.

🏢 Why it matters for organizations

For Korean companies evaluating a homegrown model, this is the most realistic place to start. You can measure performance on your own documents without sending any data overseas, so the adoption meeting moves from guesswork to measured results.

SCENE

Same job, different approach

You’ve been asked to benchmark a Korean model on your company’s documents

The old way

  1. Every performance claim comes from someone else’s slides
  2. Data can’t leave the company, so you can’t even run the test
  3. Assuming you have to request a quote before you can try it
  4. The meeting ends with guesses instead of a conclusion

With EXAONE

  1. Download the model files and load them onto your own hardware
  2. Feed in your own documents as they are and see the results firsthand
  3. Start with a small model to get a sense of the cost
  4. Check the license terms and attach them to your approval request
USE

Common uses

01

Internal document Q&A test

Load in your policy manual and past reports and have it answer employee questions. You can measure accuracy first without sending any data outside.

02

Compare side by side with overseas models

Put the same text into an overseas model and a Korean model, and record the results in a table. Your meeting then runs on records, not 'impressions'.

03

Run a small model on-device

Pick a small model and load it onto an internal server or an on-site device. Check whether you can set up a part of your workflow that keeps running when the internet goes down.

FIT

Who it’s for

Best for

  • ✓Organizations that find it hard to send data overseas
  • ✓Companies with someone in-house who can deploy a model
  • ✓R&D and technical teams that want to benchmark a Korean model themselves

Better served by other tools

  • –Anyone who wants to sign up today and open a chat window right away
  • –Anyone who wants to start with no hardware and no one to own the work
  • –Anyone without time to read license documents
SECURITY

Can we use it at work?

The questions that adoption leads and security teams ask first.

Is my input used for training?If you download the model and run it on your own hardware, the data you enter never leaves your environment. If you use it through an external API or a demo page, that provider’s terms apply instead, so treat the two cases separately.
Business and team plansWhether commercial use is allowed depends on the model. The K-EXAONE 2.0 family is released under the Apache 2.0 license, while other models, including EXAONE 4.5, carry LG AI Research’s own license. For business inquiries, use the contact details listed on the official page.
In every caseAfter choosing a model, read the license on that model's page all the way through and attach it to your approval paperwork. Lumping it together as 'EXAONE is an open model' will cause problems later.

Note: We could not verify, clause by clause, how far commercial use is permitted under the license attached to the EXAONE series. If you are considering adoption, read the full license text on the model page with your legal team.

START

10-minute quick start

  1. 1

    Check the official page for the list of currently released models and their Hugging Face addresses.

  2. 2

    On the LGAI-EXAONE account on Hugging Face, pick a model small enough for your hardware.

  3. 3

    Read the license on the model’s page first and confirm that your intended use is permitted.

  4. 4

    Ask the same questions of a sample of in-house documents with personal data removed, and record the results in a table.

PROMPT

Copy-and-paste prompts

Replace only the [bracketed] parts, then paste it in.

Internal policy Q&A
Below is an excerpt from our company [work rules]. Write ten questions employees would realistically ask, with answers based on the wording of the rules. If something is not in the rules, answer only 'Not in the rules'.

[Paste the rules here]
Document summary accuracy test
Summarize the report below in three sentences. For each sentence, quote the exact passage it comes from. Do not include anything that is not in the text.

[Paste report]
Polishing Korean phrasing
Rewrite the sentences below in the tone of an [internal announcement]. Use a polite, formal register and keep each sentence under 40 characters. Do not invent promises or dates that are not in the original.

[Paste the sentences here]
Extract into a table
From the text below, extract only [Department in charge], [Deadline], [Required documents], and [Exception reason] and put them in a table. Leave any item not in the text blank and do not guess.

[Paste text]
Build a model comparison test sheet
I want to compare a Korean model and an overseas model under identical conditions. For each of four tasks — [summarization], [building tables], [finding policies] and [Korean-style expressions] — write three test sentences. Add a one-line scoring criterion for each.
RECIPE

Using it with other tools

Linking two or three tools changes your work more than any single tool does.

Benchmark a Korean model → report on adoption

1Download an EXAONE model from Hugging Face and load it onto in-house hardware
2Run the same test sentences through Claude and compare the results side by side
3Put only the differences in a table and attach it to your approval request

Organize in-house documents → build Q&A

1Have Upstage Solar read the documents and convert them into tables
2Feed that table into EXAONE to draft an internal Q&A
3Post only Q&A reviewed by the responsible department on the internal bulletin board
CAUTION

Before you start

  • 'EXAONE' is not the name of a single model but of a family spanning several generations and sizes. When you cite it in documents, include the version.
  • Licenses differ by model. Don’t assume that what one model allows is allowed for another.
  • Large models don’t run on ordinary office hardware. When planning a test, check your equipment first.
  • Don’t enter real customer information during testing. Benchmark first with samples where names and amounts have been changed.
PRICE

Pricing

The model weights are published on Hugging Face, so downloading them costs nothing. However, the user bears the cost of the hardware or cloud needed to run the model, and license terms differ by model, so check the license of the specific model before using it for work.

Please check this tool’s pricing directly on the official page. We do not list amounts we have not verified.

HONEST

Where EXAONE falls short

We don’t just list the positives. Here is what fell short when we used it.

  • Licenses differ by model

    Models under the same name can carry different licenses: one is Apache 2.0, another has its own. You have to re-read the terms each time, so questions in meetings go unanswered and decisions get put off.

  • You can’t get started on your own

    There is no chat window that opens with a single sign-up. Someone has to provision the hardware and set it up before you see the first screen, so at companies with no one to own it, the evaluation keeps slipping.

  • Versions change quickly

    New generations and sizes keep appearing, so the comparison table you built last month no longer matches this month’s meeting. If you hard-code model names into course materials, you have to fix them again for every new cohort.

COMPARE

Tools to compare

Related termSovereign AI

FAQ

Downloading model files from Hugging Face costs nothing. However, the hardware or cloud fees to run the model are paid by the user. And downloading a model does not mean you can do anything with it, so check each model’s license terms first.
It was built by a Korean research lab with Korean as a primary target language, and the official materials are available in Korean. Still, the surest way to know how accurate it is on your company documents is to run a sample yourself. We suggest putting the same text into other models and comparing the results side by side.
It depends on the model. The K-EXAONE 2.0 family, released as an independent foundation model, is published under the Apache 2.0 license, so its terms are simple, but other models carry a custom license set by LG AI Research. Read the license document on the page of the model you plan to use together with your legal team before you start.

Last updated 22 Sep 2026 · The ratings on this page come from John Kim, CEO of Nanum Consulting, who has used these tools firsthand in training and real work.

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