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Model comparison

DeepSeek V3.2 vs MiniMax M3

Data verified

Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

55.3/100
Margin
14.5pts
winning →
MiniMax
69.8/100
0 category wins2 category wins

Verified leaderboard positions: DeepSeek V3.2 unranked; MiniMax M3 #18

BenchAlign evidence: DeepSeek V3.2 supported; MiniMax M3 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3.2 and MiniMax M3 share 14 comparable benchmark results. 2 of 8 categories are comparable. 6 results are unique to DeepSeek V3.2; 31 to MiniMax M3.

Updated July 16, 2026
Shared results
14
DeepSeek V3.2 only
6
MiniMax M3 only
31
Comparable categories
2 / 8

Pick MiniMax M3 if you want the stronger benchmark profile. DeepSeek V3.2 only becomes the better choice if you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 6 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

MiniMax M3 is clearly ahead on the provisional aggregate, 70 to 54. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

MiniMax M3's sharpest advantage is in mathematics, where it averages 85.7 against 17.1.

MiniMax M3 is also the more expensive model on tokens at $0.30 input / $1.20 output per 1M tokens, versus $0.28 input / $0.42 output per 1M tokens for DeepSeek V3.2. That is roughly 2.9x on output cost alone. MiniMax M3 gives you the larger context window at 1M, compared with 128K for DeepSeek V3.2.

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 V3.2 and MiniMax M3
CategoryDeepSeek V3.2ΔMiniMax M3
MathDeepSeek V3.217.1Margin 68.6MiniMax M385.7
CodingDeepSeek V3.260.9Margin 11.3MiniMax M372.2
AgenticDeepSeek V3.2Not measuredMarginNo overlapMiniMax M372.3
MultimodalDeepSeek V3.2Not measuredMarginNo overlapMiniMax M364.9

Operational comparison

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

MetricDeepSeek V3.2MiniMax M3Comparison
Input / output priceUSD per 1M tokensDeepSeek V3.2$0.28 input / $0.42 outputMiniMax M3$0.3 input / $1.2 outputDeepSeek V3.2 has the lower combined listed price.
Generation speedtokens per secondDeepSeek V3.235 tok/sMiniMax M3Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3.23.75 sMiniMax M3Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3.2128KMiniMax M31MMiniMax M3 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3.2MiniMax M3Result
Claw-EvalSource 40.2%74.5%MiniMax M3 leads
VITA-BenchSource 18.5%Not comparable
τ²-bench resultsSource 78.9%88.9%MiniMax M3 leads
Gert LabsSource 29.57%Not comparable
Terminal-Bench 2.0Source 66%Not comparable
BrowseCompSource 83.5%Not comparable
OSWorld-VerifiedSource 70.1%Not comparable
MCP AtlasSource 74.2%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
CodingMiniMax M3 wins
BenchmarkDeepSeek V3.2MiniMax M3Result
SWE-RebenchSource 60.9%Not comparable
React Native EvalsSource 71.5%Not comparable
Terminal-Bench HardSource 32.6%42.4%MiniMax M3 leads
AA-SciCodeSource 38.7%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
BenchmarkDeepSeek V3.2MiniMax M3Result
AA-LCRSource 39.0%74.0%MiniMax M3 leads
CritPtSource 0.9%3.7%MiniMax M3 leads
Knowledge
BenchmarkDeepSeek V3.2MiniMax M3Result
Artificial Analysis Intelligence IndexSource 24.7%44.4%MiniMax M3 leads
AA-GPQA DiamondSource 75.1%92.9%MiniMax M3 leads
AA-HLESource 10.5%37.1%MiniMax M3 leads
AA-Omniscience IndexSource -46.7%1.4%MiniMax M3 leads
AA-Omniscience AccuracySource 24.2%15.0%DeepSeek V3.2 leads
AA-Omniscience Hallucination RateSource 93.5%16.1%MiniMax M3 leads
AA Openness IndexSource 33.3%Not comparable
MathMiniMax M3 wins
BenchmarkDeepSeek V3.2MiniMax M3Result
FrontierMath v2 (Tiers 1-3)Source 22.100%Not comparable
FrontierMath v2 (Tier 4)Source 2.100%Not comparable
USAMO 2026Source 85.7%Not comparable
Multimodal
BenchmarkDeepSeek V3.2MiniMax M3Result
Design Arena WebsiteSource 12081294MiniMax M3 leads
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
AA-MMMU-ProSource 78.6%Not comparable
Inst. Following
BenchmarkDeepSeek V3.2MiniMax M3Result
AA-IFBenchSource 49.0%82.9%MiniMax M3 leads
Frequently Asked Questions (3)

Which is better, DeepSeek V3.2 or MiniMax M3?

MiniMax M3 is ahead on BenchLM's provisional leaderboard, 70 to 54.

Which is better for coding, DeepSeek V3.2 or MiniMax M3?

MiniMax M3 has the edge for coding in this comparison, averaging 72.2 versus 60.9. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.

Which is better for math, DeepSeek V3.2 or MiniMax M3?

MiniMax M3 has the edge for math in this comparison, averaging 85.7 versus 17.1. DeepSeek V3.2 stays close enough that the answer can still flip depending on your workload.

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Last updated: July 16, 2026

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