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Model comparison

Claude Opus 4.5 Thinking vs K-Exaone

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.

57.37/100
Margin
9.0pts
← winning
LG AI Research
48.32/100
0 category wins0 category wins

BenchAlign evidence: Claude Opus 4.5 Thinking estimated; K-Exaone estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.5 Thinking and K-Exaone share 12 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Claude Opus 4.5 Thinking; 0 to K-Exaone.

Updated July 16, 2026
Shared results
12
Claude Opus 4.5 Thinking only
5
K-Exaone only
0
Comparable categories
0 / 8

Benchmark data for Claude Opus 4.5 Thinking and K-Exaone 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.

K-Exaone has the larger context window at 256K, compared with 200K for Claude Opus 4.5 Thinking.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Operational comparison

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

MetricClaude Opus 4.5 ThinkingK-ExaoneComparison
Input / output priceUSD per 1M tokensClaude Opus 4.5 ThinkingNot availableK-ExaoneNot availableA complete price comparison is not available.
Generation speedtokens per secondClaude Opus 4.5 ThinkingNot availableK-ExaoneNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.5 ThinkingNot availableK-ExaoneNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.5 Thinking200KK-Exaone256KK-Exaone lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.5 ThinkingK-ExaoneResult
τ²-bench resultsSource 89.5%74.3%Claude Opus 4.5 Thinking leads
Coding
BenchmarkClaude Opus 4.5 ThinkingK-ExaoneResult
Vibe Code BenchSource 20.63%Not comparable
Terminal-Bench HardSource 47.0%22.7%Claude Opus 4.5 Thinking leads
AA-SciCodeSource 49.5%35.6%Claude Opus 4.5 Thinking leads
Reasoning
BenchmarkClaude Opus 4.5 ThinkingK-ExaoneResult
AA-LCRSource 74.0%55.7%Claude Opus 4.5 Thinking leads
CritPtSource 4.6%1.1%Claude Opus 4.5 Thinking leads
Knowledge
BenchmarkClaude Opus 4.5 ThinkingK-ExaoneResult
Artificial Analysis Intelligence IndexSource 40.8%24.7%Claude Opus 4.5 Thinking leads
AA-GPQA DiamondSource 86.6%78.3%Claude Opus 4.5 Thinking leads
AA-HLESource 28.4%13.1%Claude Opus 4.5 Thinking leads
AA-Omniscience IndexSource 13.3%-57.9%Claude Opus 4.5 Thinking leads
AA-Omniscience AccuracySource 45.7%16.5%Claude Opus 4.5 Thinking leads
AA-Omniscience Hallucination RateSource 59.8%89.1%Claude Opus 4.5 Thinking leads
AA MMLU-ProSource 89.5%Not comparable
Multilingual
BenchmarkClaude Opus 4.5 ThinkingK-ExaoneResult
AA Global-MMLU-LiteSource 91.3%Not comparable
Multimodal
BenchmarkClaude Opus 4.5 ThinkingK-ExaoneResult
AA-MMMU-ProSource 74.0%Not comparable
Design Arena WebsiteSource 1281Not comparable
Inst. Following
BenchmarkClaude Opus 4.5 ThinkingK-ExaoneResult
AA-IFBenchSource 58.0%64.7%K-Exaone leads
Frequently Asked Questions (2)

Can I compare Claude Opus 4.5 Thinking and K-Exaone 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 16, 2026

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