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Model comparison

Claude Opus 4.7 vs Exaone 4.0 32B

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.

71.63/100
Margin
31.4pts
← winning
LG AI Research
40.26/100
0 category wins0 category wins

BenchAlign evidence: Claude Opus 4.7 supported; Exaone 4.0 32B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.7 and Exaone 4.0 32B share 12 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to Claude Opus 4.7; 2 to Exaone 4.0 32B.

Updated July 16, 2026
Shared results
12
Claude Opus 4.7 only
10
Exaone 4.0 32B only
2
Comparable categories
0 / 8

Benchmark data for Claude Opus 4.7 and Exaone 4.0 32B 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.

Claude Opus 4.7 has the larger context window at 1M, 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 Claude Opus 4.7 and Exaone 4.0 32B
CategoryClaude Opus 4.7ΔExaone 4.0 32B
KnowledgeClaude Opus 4.7Not measuredMarginNo overlapExaone 4.0 32B81.8
MathClaude Opus 4.738.6MarginNo overlapExaone 4.0 32BNot measured

Operational comparison

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

MetricClaude Opus 4.7Exaone 4.0 32BComparison
Input / output priceUSD per 1M tokensClaude Opus 4.7$5 input / $25 outputExaone 4.0 32BNot availableA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.7Not availableExaone 4.0 32BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.7Not availableExaone 4.0 32BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.71MExaone 4.0 32B128KClaude Opus 4.7 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.7Exaone 4.0 32BResult
τ²-bench resultsSource 74%4.1%Claude Opus 4.7 leads
Gert LabsSource 65.59%Not comparable
ResearchClawBenchSource 20.7%Not comparable
OSWorld 2.0Source 13.9%Not comparable
Coding
BenchmarkClaude Opus 4.7Exaone 4.0 32BResult
Vibe Code BenchSource 71.00%Not comparable
React Native EvalsSource 82.8%Not comparable
Terminal-Bench HardSource 54.5%1.5%Claude Opus 4.7 leads
AA-SciCodeSource 50.1%25.2%Claude Opus 4.7 leads
FrontierCodeSource 38.5%Not comparable
Reasoning
BenchmarkClaude Opus 4.7Exaone 4.0 32BResult
AA-LCRSource 67.0%8.0%Claude Opus 4.7 leads
CritPtSource 5.1%0.0%Claude Opus 4.7 leads
Knowledge
BenchmarkClaude Opus 4.7Exaone 4.0 32BResult
Artificial Analysis Intelligence IndexSource 42.7%6.0%Claude Opus 4.7 leads
AA-GPQA DiamondSource 88.5%62.8%Claude Opus 4.7 leads
AA-HLESource 31.2%4.9%Claude Opus 4.7 leads
AA-Omniscience IndexSource 14.2%-62.3%Claude Opus 4.7 leads
AA-Omniscience AccuracySource 43.5%10.4%Claude Opus 4.7 leads
AA-Omniscience Hallucination RateSource 51.9%81.0%Claude Opus 4.7 leads
MMLU-ProSource 81.8%Not comparable
Math
BenchmarkClaude Opus 4.7Exaone 4.0 32BResult
FrontierMath v2 (Tiers 1-3)Source 43.793%Not comparable
FrontierMath v2 (Tier 4)Source 22.917%Not comparable
AIME 2025Source 85.3%Not comparable
Multimodal
BenchmarkClaude Opus 4.7Exaone 4.0 32BResult
AA-MMMU-ProSource 76.4%Not comparable
Design Arena WebsiteSource 1328Not comparable
Inst. Following
BenchmarkClaude Opus 4.7Exaone 4.0 32BResult
AA-IFBenchSource 43.6%33.5%Claude Opus 4.7 leads
Frequently Asked Questions (3)

Can I compare Claude Opus 4.7 and Exaone 4.0 32B 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 Claude Opus 4.7 and Exaone 4.0 32B today?

Claude Opus 4.7: $5.00 input / $25.00 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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