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Model comparison

Claude Sonnet 4.5 Thinking vs K-Exaone

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.
No comparison
LG AI Research
48.45/100
0 category wins0 category wins

Public leaderboard positions: Claude Sonnet 4.5 Thinking unranked (Not scored); K-Exaone #126 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Sonnet 4.5 Thinking and K-Exaone share 0 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Claude Sonnet 4.5 Thinking; 11 to K-Exaone.

Updated July 23, 2026
Shared results
0
Claude Sonnet 4.5 Thinking only
2
K-Exaone only
11
Comparable categories
0 / 8

Benchmark data for Claude Sonnet 4.5 Thinking and K-Exaone is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 Sonnet 4.5 Thinking.

Operational comparison

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

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

Benchmark Deep Dive

Agentic
BenchmarkClaude Sonnet 4.5 ThinkingK-ExaoneResult
τ²-bench resultsSource 74.3%Not comparable
Coding
BenchmarkClaude Sonnet 4.5 ThinkingK-ExaoneResult
Vibe Code BenchSource 22.62%Not comparable
AA-SciCodeSource 35.6%Not comparable
Reasoning
BenchmarkClaude Sonnet 4.5 ThinkingK-ExaoneResult
AA-LCRSource 55.7%Not comparable
CritPtSource 1.1%Not comparable
Knowledge
BenchmarkClaude Sonnet 4.5 ThinkingK-ExaoneResult
Artificial Analysis Intelligence IndexSource 24.7%Not comparable
AA-GPQA DiamondSource 78.3%Not comparable
AA-HLESource 13.1%Not comparable
AA-Omniscience IndexSource -57.9%Not comparable
AA-Omniscience AccuracySource 16.5%Not comparable
AA-Omniscience Hallucination RateSource 89.1%Not comparable
Multimodal
BenchmarkClaude Sonnet 4.5 ThinkingK-ExaoneResult
Design Arena WebsiteSource 1219Not comparable
Inst. Following
BenchmarkClaude Sonnet 4.5 ThinkingK-ExaoneResult
AA-IFBenchSource 64.7%Not comparable
Frequently Asked Questions (2)

Can I compare Claude Sonnet 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.

Related Comparisons

Last updated: July 23, 2026

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