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Every change to the models you run, with its source and its date. Releases, price changes, retirements, API changes, and incidents.Every change to the models you run, with its source.

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BenchLM
Superseded.LG AI Research has newer models in this line:K-EXAONE 2.0
SupersededProprietaryReasoning256K context

K-Exaone

Decision reading
K-Exaone is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Data as of September 21, 2026 · How the score is built

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Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not published
Context window
256K
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Superseded
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing record
Self-host
Weights are not published
Rate limits
Not tracked yet

Lineage

The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Release date not sourced · you are here

    K-Exaone

    Not publicly ranked · Price not listed

  2. Jul 31, 2026

    K-EXAONE 2.0

    Not publicly ranked · Price not listed

Base entry

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track K-Exaone, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.

K-Exaone is a proprietary model with a 256K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

The profile has no source-displayable benchmark row yet.

Questions

How does K-Exaone perform overall in AI benchmarks?

K-Exaone is tracked as a regional Korea model. Its published regional benchmark rows remain visible, but the global overall table excludes them so a market-specific result does not alter worldwide positions. Use the matching regional leaderboard when comparing it with locally evaluated models.

Does K-Exaone have full benchmark coverage on BenchLM?

No. K-Exaone currently has 13 source-displayable rows across 447 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of K-Exaone?

K-Exaone has a reported context window of 256K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

Compare K-Exaone with every tracked model501 comparisons

Last updated September 21, 2026. Runtime fields remain blank until a sourced snapshot exists.

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