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Model comparison

Exaone 4.0 32B vs o3

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

LG AI Research
40.26/100
Margin
7.6pts
winning →
OpenAI
47.84/100
0 category wins0 category wins

Public leaderboard positions: Exaone 4.0 32B #168 (Estimated); o3 #129 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Exaone 4.0 32B and o3 share 12 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Exaone 4.0 32B; 5 to o3.

Updated July 17, 2026
Shared results
12
Exaone 4.0 32B only
2
o3 only
5
Comparable categories
0 / 8

Benchmark data for Exaone 4.0 32B and o3 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 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.

o3 has the larger context window at 200K, 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 o3
CategoryExaone 4.0 32BΔo3
KnowledgeExaone 4.0 32B81.8MarginNo overlapo3Not measured
MathExaone 4.0 32BNot measuredMarginNo overlapo314.5

Operational comparison

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

MetricExaone 4.0 32Bo3Comparison
Input / output priceUSD per 1M tokensExaone 4.0 32BNot availableo3$2 input / $8 outputA complete price comparison is not available.
Generation speedtokens per secondExaone 4.0 32BNot availableo3118 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenExaone 4.0 32BNot availableo35.38 sA complete latency comparison is not available.
Context windowmaximum listed tokensExaone 4.0 32B128Ko3200Ko3 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkExaone 4.0 32Bo3Result
τ²-bench resultsSource 4.1%80.7%o3 leads
Coding
BenchmarkExaone 4.0 32Bo3Result
Terminal-Bench HardSource 1.5%37.1%o3 leads
AA-SciCodeSource 25.2%41.0%o3 leads
Reasoning
BenchmarkExaone 4.0 32Bo3Result
AA-LCRSource 8.0%69.3%o3 leads
CritPtSource 0.0%1.1%o3 leads
Knowledge
BenchmarkExaone 4.0 32Bo3Result
MMLU-ProSource 81.8%Not comparable
Artificial Analysis Intelligence IndexSource 6.0%30.4%o3 leads
AA-GPQA DiamondSource 62.8%82.7%o3 leads
AA-HLESource 4.9%20.0%o3 leads
AA-Omniscience IndexSource -62.3%-15.3%o3 leads
AA-Omniscience AccuracySource 10.4%38.4%o3 leads
AA-Omniscience Hallucination RateSource 81.0%87.1%Exaone 4.0 32B leads
Math
BenchmarkExaone 4.0 32Bo3Result
AIME 2025Source 85.3%Not comparable
AA MATH-500Source 99.2%Not comparable
FrontierMath v2 (Tiers 1-3)Source 18.685%Not comparable
FrontierMath v2 (Tier 4)Source 2.083%Not comparable
Multimodal
BenchmarkExaone 4.0 32Bo3Result
AA-MMMU-ProSource 70.1%Not comparable
Design Arena WebsiteSource 1071Not comparable
Inst. Following
BenchmarkExaone 4.0 32Bo3Result
AA-IFBenchSource 33.5%71.4%o3 leads
Frequently Asked Questions (3)

Can I compare Exaone 4.0 32B and o3 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 o3 today?

o3: $2.00 input / $8.00 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 17, 2026

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