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EXAONE 3.5

by LG AI Research · est. 2025

LG AI Research's enterprise-grade large language model optimised for Korean language tasks. EXAONE 3.5 achieves benchmark-leading Korean performance at the 7.8B parameter size — making it the most efficient Korean-language model for enterprise RAG and document intelligence workflows.

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AIMenta verdict
Niche use
3/5

"Best Korean-language specialist model for enterprises that need strong Korean performance without the infrastructure cost of Qwen 3-72B. LG's enterprise backing gives it credibility in Korean corporate procurement."

Features
5
Use cases
4
Watch outs
3
What it does

Key features

  • Korean-optimised 7.8B, 32B, and 2.4B variants
  • Open weights under EXAONE licence
  • Strong Korean legal and business document understanding
  • LG corporate governance and enterprise support
  • Low hardware requirements for 7.8B (deployable on single A100)
When to reach for it

Best for

  • Korean enterprise document intelligence
  • Korean customer service AI
  • Low-latency Korean language classification
  • Organisations preferring Korean corporate data governance
Don't get burned

Limitations to know

  • ! Primarily Korean-optimised — English and other language performance below Qwen/Claude/GPT-4o
  • ! Smaller ecosystem and community vs international models
  • ! Less frequently updated than flagship international models
Context

About EXAONE 3.5

EXAONE 3.5 is a AI productivity tool from LG AI Research, launched in 2025. LG AI Research's enterprise-grade large language model optimised for Korean language tasks. EXAONE 3.5 achieves benchmark-leading Korean performance at the 7.8B parameter size — making it the most efficient Korean-language model for enterprise RAG and document intelligence workflows.

Notable capabilities include Korean-optimised 7.8B, 32B, and 2.4B variants, Open weights under EXAONE licence, and Strong Korean legal and business document understanding. Teams typically deploy EXAONE 3.5 for korean enterprise document intelligence and korean customer service AI.

Common trade-offs to weigh: primarily Korean-optimised — English and other language performance below Qwen/Claude/GPT-4o and smaller ecosystem and community vs international models. AIMenta editorial take for APAC mid-market: Best Korean-language specialist model for enterprises that need strong Korean performance without the infrastructure cost of Qwen 3-72B. LG's enterprise backing gives it credibility in Korean corporate procurement.

Beyond this tool

Where this category meets practice depth.

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