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Model comparison

DeepSeek V3.1 (Reasoning) 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.

53.43/100
Margin
5.0pts
← winning
LG AI Research
48.45/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V3.1 (Reasoning) #97 (Supported); K-Exaone #126 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3.1 (Reasoning) and K-Exaone share 11 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to DeepSeek V3.1 (Reasoning); 0 to K-Exaone.

Updated July 18, 2026
Shared results
11
DeepSeek V3.1 (Reasoning) only
1
K-Exaone only
0
Comparable categories
0 / 8

Benchmark data for DeepSeek V3.1 (Reasoning) 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.

K-Exaone has the larger context window at 256K, compared with 128K for DeepSeek V3.1 (Reasoning).

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.

MetricDeepSeek V3.1 (Reasoning)K-ExaoneComparison
Input / output priceUSD per 1M tokensDeepSeek V3.1 (Reasoning)$0 input / $0 outputK-ExaoneNot availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V3.1 (Reasoning)Not availableK-ExaoneNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3.1 (Reasoning)Not availableK-ExaoneNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3.1 (Reasoning)128KK-Exaone256KK-Exaone lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3.1 (Reasoning)K-ExaoneResult
τ²-bench resultsSource 37.4%74.3%K-Exaone leads
Coding
BenchmarkDeepSeek V3.1 (Reasoning)K-ExaoneResult
AA-SciCodeSource 39.1%35.6%DeepSeek V3.1 (Reasoning) leads
Reasoning
BenchmarkDeepSeek V3.1 (Reasoning)K-ExaoneResult
AA-LCRSource 53.3%55.7%K-Exaone leads
CritPtSource 2.0%1.1%DeepSeek V3.1 (Reasoning) leads
Knowledge
BenchmarkDeepSeek V3.1 (Reasoning)K-ExaoneResult
Artificial Analysis Intelligence IndexSource 20.7%24.7%K-Exaone leads
AA-GPQA DiamondSource 77.9%78.3%K-Exaone leads
AA-HLESource 13.0%13.1%K-Exaone leads
AA-Omniscience IndexSource -28.4%-57.9%DeepSeek V3.1 (Reasoning) leads
AA-Omniscience AccuracySource 28.8%16.5%DeepSeek V3.1 (Reasoning) leads
AA-Omniscience Hallucination RateSource 80.3%89.1%DeepSeek V3.1 (Reasoning) leads
Multimodal
BenchmarkDeepSeek V3.1 (Reasoning)K-ExaoneResult
Design Arena WebsiteSource 1155Not comparable
Inst. Following
BenchmarkDeepSeek V3.1 (Reasoning)K-ExaoneResult
AA-IFBenchSource 41.5%64.7%K-Exaone leads
Frequently Asked Questions (3)

Can I compare DeepSeek V3.1 (Reasoning) 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 DeepSeek V3.1 (Reasoning) and K-Exaone today?

DeepSeek V3.1 (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.

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Last updated: July 18, 2026

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