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Model comparison

K-Exaone vs MiniMax M3

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

K-Exaone
LG AI Research
48.32/100
Margin
21.5pts
winning →
MiniMax M3
MiniMax
69.8/100
0 category wins0 category wins

Verified leaderboard positions: K-Exaone unranked; MiniMax M3 #18

BenchAlign evidence: K-Exaone estimated; MiniMax M3 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. K-Exaone and MiniMax M3 share 12 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to K-Exaone; 33 to MiniMax M3.

Updated July 16, 2026
Shared results
12
K-Exaone only
0
MiniMax M3 only
33
Comparable categories
0 / 8

Benchmark data for K-Exaone and MiniMax M3 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 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.

MiniMax M3 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 K-Exaone and MiniMax M3
CategoryK-ExaoneΔMiniMax M3
AgenticK-ExaoneNot measuredMarginNo overlapMiniMax M372.3
CodingK-ExaoneNot measuredMarginNo overlapMiniMax M372.2
MathK-ExaoneNot measuredMarginNo overlapMiniMax M385.7
MultimodalK-ExaoneNot measuredMarginNo overlapMiniMax M364.9

Operational comparison

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

MetricK-ExaoneMiniMax M3Comparison
Input / output priceUSD per 1M tokensK-ExaoneNot availableMiniMax M3$0.3 input / $1.2 outputA complete price comparison is not available.
Generation speedtokens per secondK-ExaoneNot availableMiniMax M3Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenK-ExaoneNot availableMiniMax M3Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensK-Exaone256KMiniMax M31MMiniMax M3 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkK-ExaoneMiniMax M3Result
τ²-bench resultsSource 74.3%88.9%MiniMax M3 leads
Terminal-Bench 2.0Source —66%Not comparable
BrowseCompSource —83.5%Not comparable
OSWorld-VerifiedSource —70.1%Not comparable
MCP AtlasSource —74.2%Not comparable
Claw-EvalSource —74.5%Not comparable
AA Agentic IndexSource —35.4%Not comparable
GDPval-AASource —44.7%Not comparable
GDPval-AASource —1395Not comparable
GDPval rubricsSource —74.7%Not comparable
BankerToolBenchSource —76.1%Not comparable
ResearchClawBenchSource —19.8%Not comparable
OSWorld 2.0Source —4.6%Not comparable
AA BriefcaseSource —1110Not comparable
AA EnterpriseOps-GymSource —32.1%Not comparable
AA Harvey LABSource —6.7%Not comparable
Coding
BenchmarkK-ExaoneMiniMax M3Result
Terminal-Bench HardSource 22.7%42.4%MiniMax M3 leads
AA-SciCodeSource 35.6%45.4%MiniMax M3 leads
SWE-bench VerifiedSource —80.5%Not comparable
SWE-bench ProSource —59%Not comparable
Terminal-Bench 2.0Source —66.0%Not comparable
NL2RepoSource —42.1%Not comparable
AA Coding IndexSource —58.6%Not comparable
VIBE V2Source —50.1%Not comparable
SVG-BenchSource —63.7%Not comparable
KernelBench HardSource —28.8%Not comparable
AA Terminal-Bench 2.1Source —65.2%Not comparable
Reasoning
BenchmarkK-ExaoneMiniMax M3Result
AA-LCRSource 55.7%74.0%MiniMax M3 leads
CritPtSource 1.1%3.7%MiniMax M3 leads
Knowledge
BenchmarkK-ExaoneMiniMax M3Result
Artificial Analysis Intelligence IndexSource 24.7%44.4%MiniMax M3 leads
AA-GPQA DiamondSource 78.3%92.9%MiniMax M3 leads
AA-HLESource 13.1%37.1%MiniMax M3 leads
AA-Omniscience IndexSource -57.9%1.4%MiniMax M3 leads
AA-Omniscience AccuracySource 16.5%15.0%K-Exaone leads
AA-Omniscience Hallucination RateSource 89.1%16.1%MiniMax M3 leads
AA Openness IndexSource —33.3%Not comparable
Math
BenchmarkK-ExaoneMiniMax M3Result
USAMO 2026Source —85.7%Not comparable
Multimodal
BenchmarkK-ExaoneMiniMax M3Result
OfficeQA ProSource —45.1%Not comparable
OmniDocBench 1.5Source —91.6%Not comparable
MMMU-ProSource —78.1%Not comparable
VideoMMMUSource —84.6%Not comparable
Video-MME (with subtitle)Source —85.4%Not comparable
Design Arena WebsiteSource —1294Not comparable
AA-MMMU-ProSource —78.6%Not comparable
Inst. Following
BenchmarkK-ExaoneMiniMax M3Result
AA-IFBenchSource 64.7%82.9%MiniMax M3 leads
Frequently Asked Questions (3)

Can I compare K-Exaone and MiniMax M3 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 MiniMax M3 today?

MiniMax M3: $0.30 input / $1.20 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 16, 2026

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