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Model comparison

Exaone 4.0 32B vs Mellum2-12B-A2.5B-Instruct

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
40.44/100
No comparison
1 category wins0 category wins

Public leaderboard positions: Exaone 4.0 32B #170 (Estimated); Mellum2-12B-A2.5B-Instruct unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Exaone 4.0 32B and Mellum2-12B-A2.5B-Instruct share 0 comparable benchmark results. 1 of 8 categories are comparable. 13 results are unique to Exaone 4.0 32B; 5 to Mellum2-12B-A2.5B-Instruct.

Updated July 23, 2026
Shared results
0
Exaone 4.0 32B only
13
Mellum2-12B-A2.5B-Instruct only
5
Comparable categories
1 / 8

Treat this as a split decision. Exaone 4.0 32B makes more sense if knowledge is the priority or you want the stronger reasoning-first profile; Mellum2-12B-A2.5B-Instruct is the better fit if you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Exaone 4.0 32B and Mellum2-12B-A2.5B-Instruct finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

Exaone 4.0 32B is the reasoning model in the pair, while Mellum2-12B-A2.5B-Instruct is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.

Operational comparison

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

MetricExaone 4.0 32BMellum2-12B-A2.5B-InstructComparison
Input / output priceUSD per 1M tokensExaone 4.0 32BNot availableMellum2-12B-A2.5B-InstructNot availableA complete price comparison is not available.
Generation speedtokens per secondExaone 4.0 32BNot availableMellum2-12B-A2.5B-InstructNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenExaone 4.0 32BNot availableMellum2-12B-A2.5B-InstructNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensExaone 4.0 32B128KMellum2-12B-A2.5B-Instruct128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkExaone 4.0 32BMellum2-12B-A2.5B-InstructResult
τ²-bench resultsSource 4.1%Not comparable
BFCL v4Source 44.2%Not comparable
Coding
BenchmarkExaone 4.0 32BMellum2-12B-A2.5B-InstructResult
AA-SciCodeSource 25.2%Not comparable
Reasoning
BenchmarkExaone 4.0 32BMellum2-12B-A2.5B-InstructResult
AA-LCRSource 8.0%Not comparable
CritPtSource 0.0%Not comparable
KnowledgeExaone 4.0 32B wins
BenchmarkExaone 4.0 32BMellum2-12B-A2.5B-InstructResult
MMLU-ProSource 81.8%Not comparable
Artificial Analysis Intelligence IndexSource 6.0%Not comparable
AA-GPQA DiamondSource 62.8%Not comparable
AA-HLESource 4.9%Not comparable
AA-Omniscience IndexSource -62.3%Not comparable
AA-Omniscience AccuracySource 10.4%Not comparable
AA-Omniscience Hallucination RateSource 81.0%Not comparable
MMLU-ReduxSource 78.1%Not comparable
GPQASource 40.9%Not comparable
GPQA-DSource 40.9%Not comparable
Math
BenchmarkExaone 4.0 32BMellum2-12B-A2.5B-InstructResult
AIME 2025Source 85.3%Not comparable
Inst. Following
BenchmarkExaone 4.0 32BMellum2-12B-A2.5B-InstructResult
AA-IFBenchSource 33.5%Not comparable
IFEvalSource 75.8%Not comparable
Frequently Asked Questions (2)

Which is better, Exaone 4.0 32B or Mellum2-12B-A2.5B-Instruct?

Exaone 4.0 32B and Mellum2-12B-A2.5B-Instruct are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for knowledge tasks, Exaone 4.0 32B or Mellum2-12B-A2.5B-Instruct?

Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 40.9. Mellum2-12B-A2.5B-Instruct stays close enough that the answer can still flip depending on your workload.

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Last updated: July 23, 2026

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