Skip to main content

Model comparison

K-Exaone vs Qwen3 235B 2507 (Reasoning)

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.
LG AI Research
48.32/100
Margin
9.4pts
winning →
0 category wins0 category wins

Public leaderboard positions: K-Exaone #123 (Estimated); Qwen3 235B 2507 (Reasoning) #66 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. K-Exaone and Qwen3 235B 2507 (Reasoning) share 0 comparable benchmark results. 0 of 8 categories are comparable. 12 results are unique to K-Exaone; 2 to Qwen3 235B 2507 (Reasoning).

Updated July 17, 2026
Shared results
0
K-Exaone only
12
Qwen3 235B 2507 (Reasoning) only
2
Comparable categories
0 / 8

Benchmark data for K-Exaone and Qwen3 235B 2507 (Reasoning) 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 128K for Qwen3 235B 2507 (Reasoning).

Operational comparison

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

MetricK-ExaoneQwen3 235B 2507 (Reasoning)Comparison
Input / output priceUSD per 1M tokensK-ExaoneNot availableQwen3 235B 2507 (Reasoning)$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondK-ExaoneNot availableQwen3 235B 2507 (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenK-ExaoneNot availableQwen3 235B 2507 (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensK-Exaone256KQwen3 235B 2507 (Reasoning)128KK-Exaone lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkK-ExaoneQwen3 235B 2507 (Reasoning)Result
τ²-bench resultsSource 74.3%Not comparable
Coding
BenchmarkK-ExaoneQwen3 235B 2507 (Reasoning)Result
Terminal-Bench HardSource 22.7%Not comparable
AA-SciCodeSource 35.6%Not comparable
Reasoning
BenchmarkK-ExaoneQwen3 235B 2507 (Reasoning)Result
AA-LCRSource 55.7%Not comparable
CritPtSource 1.1%Not comparable
Knowledge
BenchmarkK-ExaoneQwen3 235B 2507 (Reasoning)Result
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
Math
BenchmarkK-ExaoneQwen3 235B 2507 (Reasoning)Result
FrontierMath v2 (Tiers 1-3)Source 8.481%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Inst. Following
BenchmarkK-ExaoneQwen3 235B 2507 (Reasoning)Result
AA-IFBenchSource 64.7%Not comparable
Frequently Asked Questions (3)

Can I compare K-Exaone and Qwen3 235B 2507 (Reasoning) 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 K-Exaone and Qwen3 235B 2507 (Reasoning) today?

Qwen3 235B 2507 (Reasoning): $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.

Related Comparisons

Last updated: July 17, 2026

The AI models change fast. We track them for you.

A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.

Free. No spam. Unsubscribe anytime.