# LG AI Research — K-EXAONE 2.0 > AI lab announcements, news reports and podcasts. forck.live follows what companies announce about their own products. Press may corroborate an official story; it never leads and never appears as an item of its own. A missing date stays missing. A title is the publisher's words — where a company does not publish in English, an English rendering is listed separately as `Title in English` and named as this site's translation, never as theirs. This file is the record of one model version: what the model registry states about it, LG AI Research's launch post, the first-party posts this record holds about it, the outlets that reported on those posts, and other companies' announcements that it runs on their platforms. A model ranks nothing here and nothing is composed: each date names whose it is, and a field nothing states is `not stated` rather than missing. - This model's page: https://forck.live/models/k-exaone-2-0 - LG AI Research's page: https://forck.live/company/lg-ai-research - Every model: https://forck.live/models - Catalogue: https://forck.live/llms.txt ## Model - Name: K-EXAONE 2.0 - Company: LG AI Research (lgresearch.ai) - Launch post: LG AI Research Unveils K-EXAONE 2.0, Korea's Largest 750-Billion-Parameter AI Foundation Model — https://forck.live/items/4739-lg-ai-research-unveils-k-exaone-2-0-korea-s-largest-750-billion-parameter-ai - Announced: 2026-07-31 - Launch source: https://www.lgresearch.ai/blog/view?seq=678 - Launch chosen by: a person, pinned in the model registry - Released (per models.dev): 2026-07-31 - Listed (per OpenRouter): not stated - Open weights: yes - Posts about it: 2 - Outlets named under its posts: 0 - Licence: Apache 2.0 — from https://forck.live/items/4739-lg-ai-research-unveils-k-exaone-2-0-korea-s-largest-750-billion-parameter-ai ## Posts about it _LG AI Research's own posts whose title names K-EXAONE 2.0, and its launch post, in the record's order: dated newest first, undated last. The record reads the newest 50 first-party posts mentioning the model, every company's together, so a model mentioned more often than that lists the newest of them._ Every entry is one first-party announcement, and carries the same eight fields in this order before any others: Company · Announced · Category · Coverage · Announcement · Group · Source · Record `Source` is the company's own page the announcement was traced to and `Record` is this site's page for it. Both are safe to cite. `Coverage` is a number of outlets, or `not counted` — which means this record reached no count of its own, never that nobody wrote about it. `Category` is this tracker's own analysis, and is authoritative wherever it is stated. `not stated` means either that nothing has analysed the post yet or that the analysis placed it outside this taxonomy; neither is a verdict about the announcement. `Announcement` is whether the post is news of something the company did, rather than a how-to, a customer story, a changelog listing or a staffing note. `Group` is which of this record's groups the entry falls in, carried on the entry itself so it holds where the groups are headings and where they are not. One of: `models`, `covered`, `announcements`, `routine`. Anything after `Record` is held detail that only some announcements carry. ### LG AI Research — LG AI Research Unveils K-EXAONE 2.0, Korea's Largest 750-Billion-Parameter AI Foundation Model - Company: LG AI Research (lgresearch.ai) - Announced: 2026-07-31 - Category: open-weight-release - Coverage: not counted - Announcement: yes - Group: models - Source: https://www.lgresearch.ai/news/view?seq=678 - Record: https://forck.live/items/10986-lg-ai-research-unveils-k-exaone-2-0-korea-s-largest-750-billion-parameter-ai - Subject: EXAONE LG AI Research released K-EXAONE 2.0, a 750-billion-parameter open-source foundation model, on Hugging Face under an Apache 2.0 license. The model achieved an average score of 70.1 across 24 benchmarks, outperforming the first-phase model by over 10%, and demonstrated competitive or superior performance in long-context understanding, agentic capabilities, and instruction following compared to global models such as GLM-5.1, DeepSeek V4 Pro Max, and Qwen3.5. It also supports 10 languages and scored 94.6 on safety benchmarks, surpassing several leading models. ### LG AI Research — LG AI Research Unveils K-EXAONE 2.0, Korea's Largest 750-Billion-Parameter AI Foundation Model - Company: LG AI Research (lgresearch.ai) - Announced: 2026-07-31 - Category: open-weight-release - Coverage: not counted - Announcement: yes - Group: models - Source: https://www.lgresearch.ai/blog/view?seq=678 - Record: https://forck.live/items/4739-lg-ai-research-unveils-k-exaone-2-0-korea-s-largest-750-billion-parameter-ai - Subject: EXAONE LG AI Research released K-EXAONE 2.0, a 750-billion-parameter open-source foundation model, on Hugging Face under Apache 2.0 license. The model surpasses the previous 236B model in scale and performance across benchmarks, including long-context understanding, agentic capabilities, and multilingual support. It also achieved high safety scores. Additionally, the institute introduced the EXAONE 4.5 vision-language model and is expanding into various sectors. ## Who reported on it _This record names no outlet that reported on these posts._ --- Record: https://forck.live/models/k-exaone-2-0 Catalogue: https://forck.live/llms.txt Current issue: https://forck.live/feed.md