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Model comparison

Gemini 2.5 Flash vs K-Exaone

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

48.09/100
Margin
0.4pts
winning →
LG AI Research
48.45/100
0 category wins0 category wins

Public leaderboard positions: Gemini 2.5 Flash #130 (Supported); K-Exaone #126 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 2.5 Flash and K-Exaone share 11 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Gemini 2.5 Flash; 0 to K-Exaone.

Updated July 18, 2026
Shared results
11
Gemini 2.5 Flash only
4
K-Exaone only
0
Comparable categories
0 / 8

Benchmark data for Gemini 2.5 Flash and K-Exaone is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 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.

Gemini 2.5 Flash has the larger context window at 1M, compared with 256K for K-Exaone.

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 Gemini 2.5 Flash and K-Exaone
CategoryGemini 2.5 FlashΔK-Exaone
MathGemini 2.5 Flash4.7MarginNo overlapK-ExaoneNot measured

Operational comparison

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

MetricGemini 2.5 FlashK-ExaoneComparison
Input / output priceUSD per 1M tokensGemini 2.5 Flash$0.3 input / $2.5 outputK-ExaoneNot availableA complete price comparison is not available.
Generation speedtokens per secondGemini 2.5 Flash221 tok/sK-ExaoneNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 2.5 Flash0.50 sK-ExaoneNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 2.5 Flash1MK-Exaone256KGemini 2.5 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 2.5 FlashK-ExaoneResult
τ²-bench resultsSource 14.9%74.3%K-Exaone leads
Coding
BenchmarkGemini 2.5 FlashK-ExaoneResult
AA-SciCodeSource 29.1%35.6%K-Exaone leads
Reasoning
BenchmarkGemini 2.5 FlashK-ExaoneResult
AA-LCRSource 45.9%55.7%K-Exaone leads
CritPtSource 1.4%1.1%Gemini 2.5 Flash leads
Knowledge
BenchmarkGemini 2.5 FlashK-ExaoneResult
Artificial Analysis Intelligence IndexSource 14.1%24.7%K-Exaone leads
AA-GPQA DiamondSource 68.3%78.3%K-Exaone leads
AA-HLESource 5.1%13.1%K-Exaone leads
AA-Omniscience IndexSource -42.0%-57.9%Gemini 2.5 Flash leads
AA-Omniscience AccuracySource 26.5%16.5%Gemini 2.5 Flash leads
AA-Omniscience Hallucination RateSource 93.3%89.1%K-Exaone leads
Math
BenchmarkGemini 2.5 FlashK-ExaoneResult
FrontierMath v2 (Tiers 1-3)Source 4.844%Not comparable
FrontierMath v2 (Tier 4)Source 4.167%Not comparable
Multimodal
BenchmarkGemini 2.5 FlashK-ExaoneResult
AA-MMMU-ProSource 65.5%Not comparable
Design Arena WebsiteSource 1148Not comparable
Inst. Following
BenchmarkGemini 2.5 FlashK-ExaoneResult
AA-IFBenchSource 39.0%64.7%K-Exaone leads
Frequently Asked Questions (3)

Can I compare Gemini 2.5 Flash 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.

What data is available for Gemini 2.5 Flash and K-Exaone today?

Gemini 2.5 Flash: $0.30 input / $2.50 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 18, 2026

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