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Model comparison

DeepSeek V4 Flash vs Exaone 4.0 32B

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

58.88/100
Margin
18.4pts
← winning
LG AI Research
40.44/100
0 category wins1 category wins

Public leaderboard positions: DeepSeek V4 Flash #61 (Estimated); Exaone 4.0 32B #170 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Flash and Exaone 4.0 32B share 1 comparable benchmark result. 1 of 8 categories are comparable. 21 results are unique to DeepSeek V4 Flash; 12 to Exaone 4.0 32B.

Updated July 23, 2026
Shared results
1
DeepSeek V4 Flash only
21
Exaone 4.0 32B only
12
Comparable categories
1 / 8

Pick DeepSeek V4 Flash if you want the stronger benchmark profile. Exaone 4.0 32B only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

DeepSeek V4 Flash is clearly ahead on the BenchAlign aggregate, 58.88 to 40.44. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Exaone 4.0 32B is the reasoning model in the pair, while DeepSeek V4 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. DeepSeek V4 Flash gives you the larger context window at 1M, compared with 128K for Exaone 4.0 32B.

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 DeepSeek V4 Flash and Exaone 4.0 32B
CategoryDeepSeek V4 FlashΔExaone 4.0 32B
KnowledgeDeepSeek V4 Flash38.8Margin 43.0Exaone 4.0 32B81.8
AgenticDeepSeek V4 Flash49.1MarginNo overlapExaone 4.0 32BNot measured
CodingDeepSeek V4 Flash64.2MarginNo overlapExaone 4.0 32BNot measured
MathDeepSeek V4 Flash40.8MarginNo overlapExaone 4.0 32BNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · DeepSeek V4 FlashB · Exaone 4.0 32B
  1. MMLU-Pro

    Knowledge
    Source ↗
    A 83%B 81.8%
    Winner: DeepSeek V4 FlashΔ 1.2
    MMLU-Pro: DeepSeek V4 Flash scored 83%; Exaone 4.0 32B scored 81.8%. DeepSeek V4 Flash wins this benchmark.

Operational comparison

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

MetricDeepSeek V4 FlashExaone 4.0 32BComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Flash$0.14 input / $0.28 outputExaone 4.0 32BNot availableA complete price comparison is not available.
Generation speedtokens per secondDeepSeek V4 FlashNot availableExaone 4.0 32BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 FlashNot availableExaone 4.0 32BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Flash1MExaone 4.0 32B128KDeepSeek V4 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 FlashExaone 4.0 32BResult
Terminal-Bench 2.0Source 49.1%Not comparable
MCP AtlasSource 64%Not comparable
ToolathlonSource 40.7%Not comparable
Claw-EvalSource 57.8%Not comparable
Gert LabsSource 54.35%Not comparable
τ²-bench resultsSource 4.1%Not comparable
Coding
BenchmarkDeepSeek V4 FlashExaone 4.0 32BResult
SWE-bench VerifiedSource 73.7%Not comparable
SWE-bench ProSource 49.1%Not comparable
SWE MultilingualSource 69.7%Not comparable
Terminal-Bench 2.0Source 49.1%Not comparable
AA-SciCodeSource 25.2%Not comparable
Reasoning
BenchmarkDeepSeek V4 FlashExaone 4.0 32BResult
MRCR 1MSource 37.5%Not comparable
CorpusQA 1MSource 15.5%Not comparable
AA-LCRSource 8.0%Not comparable
CritPtSource 0.0%Not comparable
KnowledgeExaone 4.0 32B wins
BenchmarkDeepSeek V4 FlashExaone 4.0 32BResult
MMLU-ProSource 83%81.8%DeepSeek V4 Flash leads
SimpleQASource 23.1%Not comparable
Chinese-SimpleQASource 71.5%Not comparable
GPQASource 71.2%Not comparable
GPQA-DSource 71.2%Not comparable
HLESource 8.1%Not comparable
Artificial Analysis Intelligence IndexSource 6.0%Not comparable
AA-GPQA DiamondSource 62.8%Not comparable
AA-HLESource 4.9%Not comparable
AA-Omniscience IndexSource -62.3%Not comparable
AA-Omniscience AccuracySource 10.4%Not comparable
AA-Omniscience Hallucination RateSource 81.0%Not comparable
Math
BenchmarkDeepSeek V4 FlashExaone 4.0 32BResult
HMMT Feb 2026Source 40.8%Not comparable
IMOAnswerBenchSource 41.9%Not comparable
ApexSource 1.0%Not comparable
Apex ShortlistSource 9.3%Not comparable
AIME 2025Source 85.3%Not comparable
Multimodal
BenchmarkDeepSeek V4 FlashExaone 4.0 32BResult
Design Arena WebsiteSource 1238Not comparable
Inst. Following
BenchmarkDeepSeek V4 FlashExaone 4.0 32BResult
AA-IFBenchSource 33.5%Not comparable
Frequently Asked Questions (2)

Which is better, DeepSeek V4 Flash or Exaone 4.0 32B?

DeepSeek V4 Flash is ahead on BenchLM's BenchAlign leaderboard, 58.88 to 40.44. The biggest single separator in this matchup is MMLU-Pro, where the scores are 83% and 81.8%.

Which is better for knowledge tasks, DeepSeek V4 Flash or Exaone 4.0 32B?

Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 38.8. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.

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Last updated: July 23, 2026

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