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DeepSeek V3.2 Exp vs MiniMax M3

Updated October 21, 2026. 47 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V3.2 Exp Replace MiniMax M3
DeepSeek V3.2 ExpDeepSeek
Coding
55.0
Overall
16.6
Output $/M
$0.41
6
MiniMax M3MiniMax
Coding
57.8
Overall
29.2
Output $/M
$1.20
41
vs boards won of 47 shared

Decision reading

Pick MiniMax M3 for coding: it scores 57.8 on the Vibe Coding Index against 55.0 for DeepSeek V3.2 Exp.

Pick DeepSeek V3.2 Exp when output tokens cost 2.9x less, or when what matters is LMArena Text: medicine and healthcare or DTBench, where it leads.

Model ADeepSeek V3.2 ExpDeepSeek55.0/1002 independent benchmarksNo cost per solved taskModel BMiniMax M3MiniMax57.8/1002 independent benchmarks$0.56 per solved task
Shared results
47
DeepSeek V3.2 Exp only
10
MiniMax M3 only
69
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
DeepSeek V3.2 Exp 55.0 from 2 benchmarks, MiniMax M3 57.8 from 2 benchmarks.
Widest category
Agentic work, 55.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: DeepSeek V3.2 Exp 33.9% against MiniMax M3 88.9%, 55.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 Exp $0.41 against MiniMax M3 $1.20 per million output tokens, 2.9x apart.
Context window
DeepSeek V3.2 Exp takes 164K tokens, MiniMax M3 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryDeepSeek V3.2 ExpBarsMiniMax M3Ties
Coding05
Intelligence02
Agentic work01
Reasoning05
Math02
Knowledge13
Web design07
General516
All shared boards641
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for DeepSeek V3.2 Exp and MiniMax M3
BenchmarkDeepSeek V3.2 ExpMiniMax M3Leader
Aider polyglot74.2%Not measuredOnly DeepSeek V3.2 Exp measured
LiveBench codingNot measured70.9%Only MiniMax M3 measured
LMArena WebDev12721482MiniMax M3
AA Coding IndexNot measured58.6Only MiniMax M3 measured
LiveCodeBench (Vals AI)Not measured82.2%Only MiniMax M3 measured
SWE-bench Verified (Vals AI)Not measured75.0%Only MiniMax M3 measured
Terminal-Bench 4 (Vals AI)Not measured1.0%Only MiniMax M3 measured
Vibe Code Bench (Vals AI)Not measured47.6%Only MiniMax M3 measured
Code migration (Vals AI)Not measured19.9%Only MiniMax M3 measured
Terminal-Bench 2.1 (Vals AI)Not measured53.6%Only MiniMax M3 measured
SWE-bench Multimodal (Vals AI)Not measured33.3%Only MiniMax M3 measured
Vibe Code Bench 1-100 (Vals AI)Not measured9.2%Only MiniMax M3 measured
SkillsBench (Vals AI)Not measured51.5%Only MiniMax M3 measured
CyberBench (Vals AI)Not measured65.0%Only MiniMax M3 measured
LiveCodeBench (Artificial Analysis run)78.9%Not measuredOnly DeepSeek V3.2 Exp measured
SciCodeNot measured47.1%Only MiniMax M3 measured
Terminal-Bench Hard (Artificial Analysis run)31.1%42.4%MiniMax M3
FrontierCodeNot measured14.7%Only MiniMax M3 measured
WeirdML39.5%Not measuredOnly DeepSeek V3.2 Exp measured
ALE-BenchNot measured640.0Only MiniMax M3 measured
LMArena Text: coding14381470MiniMax M3
LMArena Text: software and IT14381466MiniMax M3
LMArena WebDev: ReactNot measured1478Only MiniMax M3 measured
LMArena WebDev: HTML12811455MiniMax M3
LMArena WebDev: from an imageNot measured1470Only MiniMax M3 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for DeepSeek V3.2 Exp and MiniMax M3
BenchmarkDeepSeek V3.2 ExpMiniMax M3Leader
AA Intelligence Index16.629.2MiniMax M3
Epoch Capabilities Index144.9146.9MiniMax M3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for DeepSeek V3.2 Exp and MiniMax M3
BenchmarkDeepSeek V3.2 ExpMiniMax M3Leader
AA Agentic IndexNot measured29.5Only MiniMax M3 measured
Design Arena: agents building web appsNot measured1200Only MiniMax M3 measured
Design Arena: agents building full-stack appsNot measured1197Only MiniMax M3 measured
Design Arena: agents building mobile appsNot measured1169Only MiniMax M3 measured
Design Arena: agents building Android appsNot measured1164Only MiniMax M3 measured
Design Arena: agents building gamesNot measured1158Only MiniMax M3 measured
Design Arena: HTML slidesNot measured1180Only MiniMax M3 measured
Design Arena: PowerPoint slidesNot measured1205Only MiniMax M3 measured
Design Arena: spreadsheetsNot measured1021Only MiniMax M3 measured
LiveBench researchNot measured68.0%Only MiniMax M3 measured
LiveBench browserNot measured8.0%Only MiniMax M3 measured
LiveBench long agenticNot measured12.4%Only MiniMax M3 measured
Finance Agent (Vals AI)Not measured48.3%Only MiniMax M3 measured
Tax Agent Bench (Vals AI)Not measured20.6%Only MiniMax M3 measured
Legal Research Bench (Vals AI)Not measured29.8%Only MiniMax M3 measured
Excel Modeling Benchmark (Vals AI)Not measured47.8%Only MiniMax M3 measured
τ²-Bench Telecom33.9%88.9%MiniMax M3
APEX-AgentsNot measured37.7%Only MiniMax M3 measured
OSWorld 2.0Not measured4.6%Only MiniMax M3 measured
TheAgentCompany42.9%Not measuredOnly DeepSeek V3.2 Exp measured
Vending-Bench 2Not measured$2,158Only MiniMax M3 measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for DeepSeek V3.2 Exp and MiniMax M3
BenchmarkDeepSeek V3.2 ExpMiniMax M3Leader
GPQA DiamondNot measured92.7%Only MiniMax M3 measured
LiveBench reasoningNot measured74.5%Only MiniMax M3 measured
MMMU Pro (Vals AI)Not measured81.2%Only MiniMax M3 measured
GPQA Diamond (Artificial Analysis run)79.7%92.9%MiniMax M3
Humanity's Last Exam (Artificial Analysis run)14.9%39.0%MiniMax M3
GPQA Diamond (Epoch AI run)Not measured90.9%Only MiniMax M3 measured
SimpleBenchNot measured45.8%Only MiniMax M3 measured
Chess puzzlesNot measured13.0%Only MiniMax M3 measured
Mystery game puzzlesNot measured8.0%Only MiniMax M3 measured
LMArena Text: hard prompts14291447MiniMax M3
LMArena Text: expert14221461MiniMax M3
LMArena Text: hard prompts in English14441455MiniMax M3
LMArena Vision: diagramsNot measured1266Only MiniMax M3 measured
LMArena Vision: homeworkNot measured1268Only MiniMax M3 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for DeepSeek V3.2 Exp and MiniMax M3
BenchmarkDeepSeek V3.2 ExpMiniMax M3Leader
AA Math Index87.7Not measuredOnly DeepSeek V3.2 Exp measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly DeepSeek V3.2 Exp measured
OTIS Mock AIMENot measured71.1%Only MiniMax M3 measured
ProofBenchNot measured18.0%Only MiniMax M3 measured
LMArena Text: math14221429MiniMax M3
LMArena Text: mathematical work14331448MiniMax M3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
Knowledge benchmarks for DeepSeek V3.2 Exp and MiniMax M3
BenchmarkDeepSeek V3.2 ExpMiniMax M3Leader
MMLU ProNot measured84.2%Only MiniMax M3 measured
LegalBench (Vals AI)Not measured85.4%Only MiniMax M3 measured
CorpFin (Vals AI)Not measured68.1%Only MiniMax M3 measured
TaxEval (Vals AI)Not measured72.7%Only MiniMax M3 measured
MortgageTax (Vals AI)Not measured68.4%Only MiniMax M3 measured
MedCode (Vals AI)Not measured46.3%Only MiniMax M3 measured
MMLU Pro (Artificial Analysis run)85.0%Not measuredOnly DeepSeek V3.2 Exp measured
LMArena Text: science14431452MiniMax M3
LMArena Text: medicine and healthcare14681441DeepSeek V3.2 Exp
LMArena Text: legal and government14191437MiniMax M3
LMArena Text: business and finance14121434MiniMax M3
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for DeepSeek V3.2 Exp and MiniMax M3
BenchmarkDeepSeek V3.2 ExpMiniMax M3Leader
Design Arena: websites11791257MiniMax M3
Design Arena: UI components11661246MiniMax M3
Design Arena: game dev11451210MiniMax M3
Design Arena: data viz11521235MiniMax M3
Design Arena: 3D11481209MiniMax M3
Design Arena: all code categories11711247MiniMax M3
Design Arena: SVG10311161MiniMax M3
Design Arena: ASCII artNot measured1161Only MiniMax M3 measured
LiveBench designNot measured66.2%Only MiniMax M3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index516
General benchmarks for DeepSeek V3.2 Exp and MiniMax M3
BenchmarkDeepSeek V3.2 ExpMiniMax M3Leader
LiveBench data analysisNot measured76.2%Only MiniMax M3 measured
Public Benefits Bench (Vals AI)Not measured64.1%Only MiniMax M3 measured
SAGE (Vals AI)Not measured50.6%Only MiniMax M3 measured
MedScribe (Vals AI)Not measured87.3%Only MiniMax M3 measured
Vals Multimodal IndexNot measured60.0%Only MiniMax M3 measured
IFBench54.1%82.9%MiniMax M3
Long context reasoning (AA-LCR)72.3%83.0%MiniMax M3
DTBench87.7%78.9%DeepSeek V3.2 Exp
LMCA29.1%33.7%MiniMax M3
Fiction.LiveBench83.3%Not measuredOnly DeepSeek V3.2 Exp measured
CL-bench13.2%Not measuredOnly DeepSeek V3.2 Exp measured
Surface Evolver BenchNot measured55.0%Only MiniMax M3 measured
CL-bench Life9.5%Not measuredOnly DeepSeek V3.2 Exp measured
LMArena Text14251433MiniMax M3
LMArena Text: instruction following14011433MiniMax M3
LMArena Text: creative writing14041404MiniMax M3
LMArena VisionNot measured1251Only MiniMax M3 measured
LMArena Text: English14411443MiniMax M3
LMArena Text: non-English14041420MiniMax M3
LMArena Text: Chinese14611466MiniMax M3
LMArena Text: German14401428DeepSeek V3.2 Exp
LMArena Text: Japanese13311380MiniMax M3
LMArena Text: Korean13721373MiniMax M3
LMArena Text: French14341444MiniMax M3
LMArena Text: Spanish14411433DeepSeek V3.2 Exp
LMArena Text: Russian14121426MiniMax M3
LMArena Text: Polish14351423DeepSeek V3.2 Exp
LMArena Text: multi-turn14221443MiniMax M3
LMArena Text: longer queries14181446MiniMax M3
LMArena Text: writing and language14071419MiniMax M3
LMArena Text: entertainment and media14071403DeepSeek V3.2 Exp
LMArena Vision: EnglishNot measured1263Only MiniMax M3 measured
LMArena Vision: ChineseNot measured1311Only MiniMax M3 measured
LMArena Vision: reading textNot measured1259Only MiniMax M3 measured
LMArena Vision: humorNot measured1235Only MiniMax M3 measured
LMArena Vision: recognizing thingsNot measured1197Only MiniMax M3 measured
LMArena Vision: creative writingNot measured1234Only MiniMax M3 measured
LMArena DocumentNot measured1435Only MiniMax M3 measured
Neither model has a result on the other 8 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.2 Exp and MiniMax M3
BenchmarkDeepSeek V3.2 ExpMiniMax M3Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

DeepSeek V3.2 Exp$0.0005Fits in one request
MiniMax M3$0.0009Fits in one request

DeepSeek V3.2 Exp costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2 Exp$0.015Fits in one request
MiniMax M3$0.019Fits in one request

DeepSeek V3.2 Exp costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2 Exp$0.058Exceeds the context window
MiniMax M3$0.072Fits in one request

DeepSeek V3.2 Exp costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of DeepSeek V3.2 Exp and MiniMax M3
SpecificationDeepSeek V3.2 ExpMiniMax M3
MakerDeepSeekMiniMax
WeightsOpen weightsOpen weights
ReleasedSeptember 29, 2025May 31, 2026
Context window164K1.05M
Input $/Mtok$0.27$0.30
Output $/Mtok$0.41$1.20
Coding index55.057.8
Independent measurements behind it22
Cost per solved taskNot computable$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 Exp better than MiniMax M3 for coding?

Pick MiniMax M3 for coding: it scores 57.8 on the Vibe Coding Index against 55.0 for DeepSeek V3.2 Exp. Pick DeepSeek V3.2 Exp when output tokens cost 2.9x less, or when what matters is LMArena Text: medicine and healthcare or DTBench, where it leads.

Which is cheaper, DeepSeek V3.2 Exp or MiniMax M3?

DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M3 only.

Which has the bigger context window, DeepSeek V3.2 Exp or MiniMax M3?

MiniMax M3, with 1.05M tokens against 164K.

How many benchmarks is the DeepSeek V3.2 Exp vs MiniMax M3 comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.2 Exp's coding index rests on 2 independent benchmarks and MiniMax M3's on 2. Where only one model has a result, the page says so instead of naming a winner.

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