K-EXAONE 236B-A23B
Last refreshed 2026-05-19. Next refresh: weekly.
K-EXAONE 236B-A23B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Decision context: Long context task fit, 0 tracked provider routes, and research from 2026-05-19.
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
Cheapest output
-
No tracked output price
Provider routes
0
No provider route in seed
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-05-19
Researched 14d ago
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.
Benchmark peer barsfor Long context
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model 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-source 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.
Capabilities
No model capability flags are currently sourced.
Benchmark Scores(1)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 78.3 | diamond | https://artificialanalysis.ai/leaderboards/models |