News · SI
LG AI Research opens its 750B K-EXAONE 2.5 model to developers through a free API
LG AI Research has launched the EXAONE API Platform with free access to K-EXAONE 2.5, a 750 billion parameter Korean and English model with a 512K token context that it says now matches DeepSeek V4.1 Flash and GLM 5.3 on agentic benchmarks.
01 / 04
What is available
The platform's changelog says EXAONE foundation models are now available through the API and that the service is currently free of charge[1]. Two models are listed: K-EXAONE 2.5, which LG describes as its sovereign AI language model, and EXAONE Tabular, a small model for predictions on structured data[1][2].
According to LG's model card, K-EXAONE 2.5 has 750 billion parameters with 31 billion active, handles text only in Korean and English, and has a 512K token context window with a January 2026 knowledge cutoff[2]. It supports chat, tool calling, structured outputs, code generation and streaming[2].
The endpoint is OpenAI compatible, so existing client code can point at it with the model name k-exaone_v2.5[3]. The combined input and output budget is capped at 524,288 tokens, and a reasoning_effort parameter set to low, high or max (the default) controls how much the model thinks before answering[3].
02 / 04
How it scores
K-EXAONE 2.5 is a technology validation model built by further training the second-generation model LG released in August[4][5]. LG compares it with DeepSeek V4.1 Flash and GLM 5.3 on four agentic benchmarks[2]:
| Benchmark | K-EXAONE 2.5 | K-EXAONE 2.0 | DeepSeek V4.1 Flash | GLM 5.3 |
|---|---|---|---|---|
| SWE-Bench Pro | 59.21 | 47.1 | 58.41 | 64.03 |
| BrowseComp | 78 | 50.87 | 75.8 | 79 |
| AutomationBench | 74.6 | 16.9 | 74.9 | 71.6 |
| Claw-Eval | 77.29 | 62.11 | 75.78 | 77.64 |
The scores are self-measured on open datasets[4]. Kim Eul-jeong, head of LG's Exaone Lab, said internal analysis across 24 evaluation metrics showed overall performance up more than 70% on the August model, achieved in about eight weeks[4].
03 / 04
The road to a frontier model
LG frames the free API as real-world validation ahead of its next model. Co-head of research Lim Woo-hyung said the team is concentrating on a third-generation model and aims to complete an EXAONE model with frontier-level performance by January[4]. LG is also considering NVIDIA's Dynamo inference software to improve serving efficiency, and NVIDIA has already published a Dynamo guide for K-EXAONE[4].
04 / 04
Why it matters
Free access to a 750B model with a half-million-token context is an easy way for developers outside Korea to try a non-US, non-Chinese frontier contender. The benchmark claims still need independent checks, and LG has not said how long the free period will last or what limits will apply once it ends[1].
Sources
Sources for this story.
- Changelog (EXAONE API Platform)docs.exaone.ai
- Models (EXAONE API Platform)docs.exaone.ai
- K-EXAONE 2.5 endpoint reference (EXAONE API Platform)docs.exaone.ai
- LG AI Research Institute Opens 'K-Exaone 2.5,' with Performance Up 70%, for Free Access (MoneyToday)mt.co.kr
- LG AI Research Opens Free Access to 'K-ExaOne 2.5' API (Aju Press)ajupress.com
FAQ
Frequently asked questions.
01What did LG AI Research launch?
The EXAONE API Platform, which gives API access to its K-EXAONE 2.5 language model and its EXAONE Tabular structured data model. LG says the service is currently free.
02How big is K-EXAONE 2.5?
LG lists it at 750 billion parameters with 31 billion active, a text-only model for Korean and English with a 512K token context window and a January 2026 knowledge cutoff.
03How does it compare with DeepSeek and GLM?
On LG's own figures it scores 59.21 on SWE-Bench Pro, 78 on BrowseComp, 74.6 on AutomationBench and 77.29 on Claw-Eval, roughly level with DeepSeek V4.1 Flash and GLM 5.3. These are self-reported results.
04How do developers use it?
Sign up for an API key at docs.exaone.ai and call an OpenAI-compatible chat completions endpoint with the model name k-exaone_v2.5. A reasoning_effort setting of low, high or max controls how long it thinks.
05Are the weights open?
This release is API access only. LG has published weights for earlier K-EXAONE models on Hugging Face, but has not announced open weights for version 2.5.
06What comes next?
LG says it is focused on a third-generation model and aims to complete a frontier-level EXAONE model by January 2027.
That’s the story
Building with what’s new?
Spectrum Web Co ships products, places talent, builds social narratives and builds custom business tools as monthly services.
Related stories