LLM Reference

K-EXAONE 236B-A23B

Released
2025-12-31
Last refreshed
2026-06-29
Status
Researched 59d ago
Open weightsCommercial use: unknownLong context

K-EXAONE 236B-A23B is a released long context model with open-weight and 256k context; evaluate it while provider pricing coverage matures.

Use it for

  • Teams evaluating long context
  • Workloads that can use a 256k context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
K-EXAONE
Released
2025-12-31
Context
256k
Parameters
236B
Architecture
Mixture of Experts
Openness
Open weights
Weights
Available
Code
Unknown
Created by

Advancing AI for a Better Life

South Korea
Founded 2020
Website
Pricing

No tracked provider token pricing is available yet.

About

LG AI Research's K-EXAONE 236B-A23B is a large-scale open-source Mixture-of-Experts model featuring 236B total parameters with 23B active during inference. It uses a fine-grained MoE design and supports six languages: Korean, English, Spanish, German, Japanese, and Vietnamese. K-EXAONE achieved first place in 10 of 13 benchmarks under South Korea's national AI foundation model project and ranked 7th globally on the Artificial Analysis Intelligence Index at launch. Free API access was available via Friendli.ai through January 2026.

K-EXAONE 236B-A23B is an open-weight model in the K-EXAONE family. The structured metadata tracks a 256k-token context window. Headline tracked benchmarks include Google-Proof Q&A 78.3.

Top use-case fit

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Long context

No task-mapped benchmark peers are available for this model yet.

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionSource
Google-Proof Q&A78.3diamondhttps://artificialanalysis.ai/leaderboards/models

Migration checks

No linked migration route is available for this model yet.

Frequently asked questions

What is the context window of K-EXAONE 236B-A23B?

K-EXAONE 236B-A23B has a context window of 256k tokens.

When was K-EXAONE 236B-A23B released?

K-EXAONE 236B-A23B was released on 2025-12-31.

What benchmarks has K-EXAONE 236B-A23B been tested on?

K-EXAONE 236B-A23B has been evaluated on 1 benchmark, including Google-Proof Q&A.