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Model comparison

Exaone 4.0 32B vs K-Exaone

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

LG AI Research
40.44/100
Margin
8.0pts
winning →
LG AI Research
48.45/100
0 category wins0 category wins

Public leaderboard positions: Exaone 4.0 32B #170 (Estimated); K-Exaone #126 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Exaone 4.0 32B and K-Exaone share 11 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Exaone 4.0 32B; 0 to K-Exaone.

Updated July 23, 2026
Shared results
11
Exaone 4.0 32B only
2
K-Exaone only
0
Comparable categories
0 / 8

Benchmark data for Exaone 4.0 32B and K-Exaone is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

K-Exaone has the larger context window at 256K, compared with 128K for Exaone 4.0 32B.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Exaone 4.0 32B and K-Exaone
CategoryExaone 4.0 32BΔK-Exaone
KnowledgeExaone 4.0 32B81.8MarginNo overlapK-ExaoneNot measured

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricExaone 4.0 32BK-ExaoneComparison
Input / output priceUSD per 1M tokensExaone 4.0 32BNot availableK-ExaoneNot availableA complete price comparison is not available.
Generation speedtokens per secondExaone 4.0 32BNot availableK-ExaoneNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenExaone 4.0 32BNot availableK-ExaoneNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensExaone 4.0 32B128KK-Exaone256KK-Exaone lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkExaone 4.0 32BK-ExaoneResult
τ²-bench resultsSource 4.1%74.3%K-Exaone leads
Coding
BenchmarkExaone 4.0 32BK-ExaoneResult
AA-SciCodeSource 25.2%35.6%K-Exaone leads
Reasoning
BenchmarkExaone 4.0 32BK-ExaoneResult
AA-LCRSource 8.0%55.7%K-Exaone leads
CritPtSource 0.0%1.1%K-Exaone leads
Knowledge
BenchmarkExaone 4.0 32BK-ExaoneResult
MMLU-ProSource 81.8%Not comparable
Artificial Analysis Intelligence IndexSource 6.0%24.7%K-Exaone leads
AA-GPQA DiamondSource 62.8%78.3%K-Exaone leads
AA-HLESource 4.9%13.1%K-Exaone leads
AA-Omniscience IndexSource -62.3%-57.9%K-Exaone leads
AA-Omniscience AccuracySource 10.4%16.5%K-Exaone leads
AA-Omniscience Hallucination RateSource 81.0%89.1%Exaone 4.0 32B leads
Math
BenchmarkExaone 4.0 32BK-ExaoneResult
AIME 2025Source 85.3%Not comparable
Inst. Following
BenchmarkExaone 4.0 32BK-ExaoneResult
AA-IFBenchSource 33.5%64.7%K-Exaone leads
Frequently Asked Questions (2)

Can I compare Exaone 4.0 32B and K-Exaone on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

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Last updated: July 23, 2026

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