Data as of November 6, 2026 · How the score is built
Released Dec 31, 2025256K context
K-Exaone
Decision readingK-Exaone scores 38 out of 100 and ranks #148 of 212. This profile shows 5 source-displayable benchmark rows; its strongest eligible category is Coding at #122. No comparable first-party API price is published in the catalog.
Released Dec 31, 2025 — see all recent releases
Decision snapshot
Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.
Capability
38/100
field median 50.1#148 of 212 ranked models
Public
#148of 212
Verified —
Price
Not listed
input median $0.60No comparable first-party hosted token rate
Speed
Not measured
field median 92 tok/sTime to first token not measured
Context
256Ktokens
field median 256,000Reported for this model; direct source link not stored
Strongest published evidence
Coding ranks #122. Particularly well-suited for software development and code generation tasks.
Validate before choosing
5 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 5 displayable benchmark rows
Category score record
Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| CodingRank #122 of 157Percentile 22ndWeight 20%1 benchmarkVerified | 25.9 | 1 benchmark | Verified | |||
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| KnowledgeRank #134 of 178Percentile 25thWeight 12%Not listedUnlisted sources | 35.8 | Not listed | Unlisted sources | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
5 of 816 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow much of this is verified
Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.
- AgenticNot measured
- Coding1/1 verified
- ReasoningNot measured
- MultimodalNot measured
- KnowledgeNot measured
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
Capability shape
Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.
K-Exaone category percentile values
- AgenticNot eligible
- Coding22nd percentile
- ReasoningNot eligible
- MultimodalNot eligible
- Knowledge25th percentile
- MultilingualNot eligible
- Instruction followingNot eligible
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- AgenticNot ranked
- Coding#122/157
- ReasoningNot ranked
- MultimodalNot ranked
- Knowledge#134/178
- MultilingualNot ranked
- Inst. FollowingNot ranked
- MathNot ranked
Benchmark ledger
Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.
Coding1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench VerifiedSoftware Engineering Benchmark Verified | Score49.4% | Versus best verified row Best verified: Claude Opus 5 · 96% | Gap46.6 behind | WeightDisplay only | Provider exact |
Korean4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| KMMLU-Pro | Score67.3% | Versus best verified row Best verified: A.X K2 · 80.5% | Gap13.2 behind | WeightDisplay only | Provider exact |
| CLIcKCultural and Linguistic Intelligence in Korean | Score83.9% | Versus best verified row Best verified: A.X K2 · 91.6% | Gap7.7 behind | WeightDisplay only | Provider exact |
| KoBALTKorean Benchmark for Advanced Linguistic Tasks | Score61.8% | Versus best verified row Best verified: A.X K2 · 73% | Gap11.2 behind | WeightDisplay only | Provider exact |
| HRM8KHAE-RAE Math 8K | Score90.9% | Versus best verified row Best verified: Solar Open 2 · 92.2% | Gap1.3 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 5 rowsLineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Base entry
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
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 as a regional Korea model. Its rows remain available for direct inspection, but the global leaderboard excludes them so local-market scores do not distort worldwide ranks.
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.
5 of 816 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Coding at #122, while its lowest eligible position is Knowledge at #134. particularly well-suited for software development and code generation tasks.
Last updated November 6, 2026. Runtime fields remain blank until a sourced snapshot exists.
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.
Is K-Exaone good for coding and programming?
K-Exaone ranks #122 out of 157 eligible models for coding and programming, with a public category score of 25.9/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.
How does K-Exaone perform on Korean benchmarks?
K-Exaone has 4 source-displayable Korean benchmark scores on this profile. Those rows remain separate from the global overall score because regional evaluations use a different comparison set. Use the dedicated Korean tables for side-by-side positions and inspect each source before applying the result elsewhere.
Does K-Exaone have full benchmark coverage on BenchLM?
No. K-Exaone currently has 19 source-displayable rows. 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.