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Model comparison

K-Exaone vs Mellum2-12B-A2.5B-Thinking

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
LG AI Research
48.45/100
No comparison
0 category wins0 category wins

Public leaderboard positions: K-Exaone #126 (Estimated); Mellum2-12B-A2.5B-Thinking unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. K-Exaone and Mellum2-12B-A2.5B-Thinking share 0 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to K-Exaone; 5 to Mellum2-12B-A2.5B-Thinking.

Updated July 23, 2026
Shared results
0
K-Exaone only
11
Mellum2-12B-A2.5B-Thinking only
5
Comparable categories
0 / 8

Benchmark data for K-Exaone and Mellum2-12B-A2.5B-Thinking is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 Mellum2-12B-A2.5B-Thinking.

Operational comparison

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

MetricK-ExaoneMellum2-12B-A2.5B-ThinkingComparison
Input / output priceUSD per 1M tokensK-ExaoneNot availableMellum2-12B-A2.5B-ThinkingNot availableA complete price comparison is not available.
Generation speedtokens per secondK-ExaoneNot availableMellum2-12B-A2.5B-ThinkingNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenK-ExaoneNot availableMellum2-12B-A2.5B-ThinkingNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensK-Exaone256KMellum2-12B-A2.5B-Thinking128KK-Exaone lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkK-ExaoneMellum2-12B-A2.5B-ThinkingResult
τ²-bench resultsSource 74.3%Not comparable
BFCL v4Source 45.6%Not comparable
Coding
BenchmarkK-ExaoneMellum2-12B-A2.5B-ThinkingResult
AA-SciCodeSource 35.6%Not comparable
Reasoning
BenchmarkK-ExaoneMellum2-12B-A2.5B-ThinkingResult
AA-LCRSource 55.7%Not comparable
CritPtSource 1.1%Not comparable
Knowledge
BenchmarkK-ExaoneMellum2-12B-A2.5B-ThinkingResult
Artificial Analysis Intelligence IndexSource 24.7%Not comparable
AA-GPQA DiamondSource 78.3%Not comparable
AA-HLESource 13.1%Not comparable
AA-Omniscience IndexSource -57.9%Not comparable
AA-Omniscience AccuracySource 16.5%Not comparable
AA-Omniscience Hallucination RateSource 89.1%Not comparable
MMLU-ReduxSource 86.2%Not comparable
GPQASource 57.6%Not comparable
GPQA-DSource 57.6%Not comparable
Inst. Following
BenchmarkK-ExaoneMellum2-12B-A2.5B-ThinkingResult
AA-IFBenchSource 64.7%Not comparable
IFEvalSource 76.5%Not comparable
Frequently Asked Questions (2)

Can I compare K-Exaone and Mellum2-12B-A2.5B-Thinking 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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