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Model comparison

Exaone 4.0 32B vs LFM2.5-8B-A1B

Data verified

Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

LG AI Research
40.26/100
Margin
1.0pts
winning →
41.25/100
0 category wins0 category wins

BenchAlign evidence: Exaone 4.0 32B estimated; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Exaone 4.0 32B and LFM2.5-8B-A1B share 13 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to Exaone 4.0 32B; 5 to LFM2.5-8B-A1B.

Updated July 16, 2026
Shared results
13
Exaone 4.0 32B only
1
LFM2.5-8B-A1B only
5
Comparable categories
0 / 8

Benchmark data for Exaone 4.0 32B and LFM2.5-8B-A1B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 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.

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 LFM2.5-8B-A1B
CategoryExaone 4.0 32BΔLFM2.5-8B-A1B
KnowledgeExaone 4.0 32B81.8MarginNo overlapLFM2.5-8B-A1BNot measured
MathExaone 4.0 32BNot measuredMarginNo overlapLFM2.5-8B-A1B50.0
Inst. FollowingExaone 4.0 32BNot measuredMarginNo overlapLFM2.5-8B-A1B68.8

Operational comparison

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

MetricExaone 4.0 32BLFM2.5-8B-A1BComparison
Input / output priceUSD per 1M tokensExaone 4.0 32BNot availableLFM2.5-8B-A1B$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondExaone 4.0 32BNot availableLFM2.5-8B-A1BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenExaone 4.0 32BNot availableLFM2.5-8B-A1BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensExaone 4.0 32B128KLFM2.5-8B-A1B128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkExaone 4.0 32BLFM2.5-8B-A1BResult
τ²-bench resultsSource 4.1%16.1%LFM2.5-8B-A1B leads
BFCL v4Source 49.7%Not comparable
Coding
BenchmarkExaone 4.0 32BLFM2.5-8B-A1BResult
Terminal-Bench HardSource 1.5%4.5%LFM2.5-8B-A1B leads
AA-SciCodeSource 25.2%7.8%Exaone 4.0 32B leads
Reasoning
BenchmarkExaone 4.0 32BLFM2.5-8B-A1BResult
AA-LCRSource 8.0%0.0%Exaone 4.0 32B leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkExaone 4.0 32BLFM2.5-8B-A1BResult
MMLU-ProSource 81.8%Not comparable
Artificial Analysis Intelligence IndexSource 6.0%8.3%LFM2.5-8B-A1B leads
AA-GPQA DiamondSource 62.8%51.3%Exaone 4.0 32B leads
AA-HLESource 4.9%6.9%LFM2.5-8B-A1B leads
AA-Omniscience IndexSource -62.3%-33.3%LFM2.5-8B-A1B leads
AA-Omniscience AccuracySource 10.4%9.4%Exaone 4.0 32B leads
AA-Omniscience Hallucination RateSource 81.0%47.0%LFM2.5-8B-A1B leads
Math
BenchmarkExaone 4.0 32BLFM2.5-8B-A1BResult
AIME 2025Source 85.3%42.5%Exaone 4.0 32B leads
MATH-500Source 88.8%Not comparable
AIME26Source 50.0%Not comparable
Inst. Following
BenchmarkExaone 4.0 32BLFM2.5-8B-A1BResult
AA-IFBenchSource 33.5%55.6%LFM2.5-8B-A1B leads
IFEvalSource 91.8%Not comparable
IFBenchSource 56.5%Not comparable
Frequently Asked Questions (3)

Can I compare Exaone 4.0 32B and LFM2.5-8B-A1B 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.

What data is available for Exaone 4.0 32B and LFM2.5-8B-A1B today?

LFM2.5-8B-A1B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 16, 2026

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