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DeepSeek V3.2 Exp vs o4 Mini

o4 Mini leads DeepSeek V3.2 Exp on the Artificial Analysis Intelligence Index, 16.7 to 16.6, and DeepSeek V3.2 Exp costs 10.7x less per output token ($0.41 vs $4.40 per million). Updated October 21, 2026; 53 benchmarks have a result for both.

Replace DeepSeek V3.2 Exp Replace o4 Mini
DeepSeek V3.2 ExpDeepSeek
Coding
No data
Overall
No data
Output $/M
$0.41
43
o4 MiniOpenAI
Coding
No data
Overall
43.0
Output $/M
$4.40
10
vs boards won of 53 shared

DeepSeek V3.2 Exp or o4 Mini: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick DeepSeek V3.2 Exp for output tokens 10.7x cheaper ($0.41 vs $4.40 per million) and work measured by LiveCodeBench (Artificial Analysis run) or WeirdML, where it leads.

Model ADeepSeek V3.2 ExpDeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel Bo4 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
53
DeepSeek V3.2 Exp only
6
o4 Mini only
45
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 not benchmarked, o4 Mini not benchmarked.
Widest category
Web design, 24.4 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: 3D: DeepSeek V3.2 Exp 1148 against o4 Mini 854, 36.8 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 Exp $0.41 against o4 Mini $4.40 per million output tokens, 10.7x apart.
Context window
DeepSeek V3.2 Exp takes 164K tokens, o4 Mini 200K.

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 ExpBarso4 MiniTies
Coding42
Intelligence02
Agentic work11
Reasoning42
Math22
Knowledge50
Web design60
General211
All shared boards4310
CodingLike-for-likeSix of these boards feed the Vibe Coding Index42
Coding benchmarks for DeepSeek V3.2 Exp and o4 Mini
BenchmarkDeepSeek V3.2 Expo4 MiniLeader
Aider polyglot74.2%72.0%DeepSeek V3.2 Exp
SWE-bench VerifiedNot measured64.6%Only o4 Mini measured
SWE-bench MultimodalNot measured33.9%Only o4 Mini measured
LMArena WebDev1272Not measuredOnly DeepSeek V3.2 Exp measured
LiveCodeBench (Vals AI)Not measured82.2%Only o4 Mini measured
LiveCodeBench (Artificial Analysis run)78.9%85.9%o4 Mini
Terminal-Bench Hard (Artificial Analysis run)31.1%15.2%DeepSeek V3.2 Exp
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdML39.5%52.6%o4 Mini
LMArena Text: coding14381368DeepSeek V3.2 Exp
LMArena Text: software and IT14381367DeepSeek V3.2 Exp
LMArena WebDev: HTML1281Not measuredOnly DeepSeek V3.2 Exp measured
SciCodeNot measured10.8%Only o4 Mini measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for DeepSeek V3.2 Exp and o4 Mini
BenchmarkDeepSeek V3.2 Expo4 MiniLeader
AA Intelligence Index16.616.7o4 Mini
Epoch Capabilities Index144.9145.5o4 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for DeepSeek V3.2 Exp and o4 Mini
BenchmarkDeepSeek V3.2 Expo4 MiniLeader
τ²-Bench Telecom33.9%55.6%o4 Mini
METR time horizonsNot measured63.9%Only o4 Mini measured
TheAgentCompany42.9%Not measuredOnly DeepSeek V3.2 Exp measured
Berkeley Function Calling Leaderboard (BFCL)56.7%53.2%DeepSeek V3.2 Exp
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index42
Reasoning benchmarks for DeepSeek V3.2 Exp and o4 Mini
BenchmarkDeepSeek V3.2 Expo4 MiniLeader
GPQA DiamondNot measured74.5%Only o4 Mini measured
MMMU Pro (Vals AI)Not measured79.7%Only o4 Mini measured
GPQA Diamond (Artificial Analysis run)79.7%78.4%DeepSeek V3.2 Exp
Humanity's Last Exam (Artificial Analysis run)14.9%16.5%o4 Mini
GPQA Diamond (Epoch AI run)Not measured79.6%Only o4 Mini measured
ARC-AGINot measured58.7%Only o4 Mini measured
ARC-AGI-2Not measured6.1%Only o4 Mini measured
SimpleBenchNot measured38.7%Only o4 Mini measured
Chess puzzlesNot measured22.0%Only o4 Mini measured
Mystery game puzzlesNot measured5.0%Only o4 Mini measured
VPCTNot measured57.5%Only o4 Mini measured
LMArena Text: hard prompts14291351DeepSeek V3.2 Exp
LMArena Text: expert14221343DeepSeek V3.2 Exp
LMArena Text: hard prompts in English14441366DeepSeek V3.2 Exp
LMArena Vision: diagramsNot measured1197Only o4 Mini measured
LMArena Vision: homeworkNot measured1234Only o4 Mini measured
Kagi LLM Benchmark52.2%67.6%o4 Mini
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for DeepSeek V3.2 Exp and o4 Mini
BenchmarkDeepSeek V3.2 Expo4 MiniLeader
AIMENot measured83.7%Only o4 Mini measured
MATH 500 (Vals AI)Not measured94.2%Only o4 Mini measured
MGSM (Vals AI)Not measured93.4%Only o4 Mini measured
AA Math Index87.790.7o4 Mini
AIME 2025 (Artificial Analysis run)87.7%90.7%o4 Mini
OTIS Mock AIMENot measured81.7%Only o4 Mini measured
FrontierMath, tiers 1 to 3Not measured36.1%Only o4 Mini measured
FrontierMath, tier 4Not measured4.9%Only o4 Mini measured
MATH level 5Not measured97.8%Only o4 Mini measured
LMArena Text: math14221389DeepSeek V3.2 Exp
LMArena Text: mathematical work14331379DeepSeek V3.2 Exp
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for DeepSeek V3.2 Exp and o4 Mini
BenchmarkDeepSeek V3.2 Expo4 MiniLeader
MMLU ProNot measured80.6%Only o4 Mini measured
LegalBench (Vals AI)Not measured79.2%Only o4 Mini measured
CorpFin (Vals AI)Not measured59.0%Only o4 Mini measured
TaxEval (Vals AI)Not measured74.8%Only o4 Mini measured
MortgageTax (Vals AI)Not measured64.8%Only o4 Mini measured
MedQA (Vals AI)Not measured96.0%Only o4 Mini measured
MedCode (Vals AI)Not measured33.8%Only o4 Mini measured
MMLU Pro (Artificial Analysis run)85.0%83.2%DeepSeek V3.2 Exp
SimpleQA VerifiedNot measured19.6%Only o4 Mini measured
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science14431354DeepSeek V3.2 Exp
LMArena Text: medicine and healthcare14681361DeepSeek V3.2 Exp
LMArena Text: legal and government14191350DeepSeek V3.2 Exp
LMArena Text: business and finance14121325DeepSeek V3.2 Exp
FACTS Benchmark SuiteNot measured28.1%Only o4 Mini measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for DeepSeek V3.2 Exp and o4 Mini
BenchmarkDeepSeek V3.2 Expo4 MiniLeader
Design Arena: websites1179985DeepSeek V3.2 Exp
Design Arena: UI components1167983DeepSeek V3.2 Exp
Design Arena: game dev11441003DeepSeek V3.2 Exp
Design Arena: data viz1152990DeepSeek V3.2 Exp
Design Arena: 3D1148854DeepSeek V3.2 Exp
Design Arena: all code categories1171976DeepSeek V3.2 Exp
Design Arena: SVG1032Not measuredOnly DeepSeek V3.2 Exp measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index211
General benchmarks for DeepSeek V3.2 Exp and o4 Mini
BenchmarkDeepSeek V3.2 Expo4 MiniLeader
SAGE (Vals AI)Not measured41.1%Only o4 Mini measured
MedScribe (Vals AI)Not measured69.1%Only o4 Mini measured
IFBench54.1%68.7%o4 Mini
Long context reasoning (AA-LCR)72.3%61.0%DeepSeek V3.2 Exp
DTBench87.7%77.6%DeepSeek V3.2 Exp
LMCA29.1%26.5%DeepSeek V3.2 Exp
Fiction.LiveBench83.3%77.8%DeepSeek V3.2 Exp
Creative writing (Lech Mazur)Not measured75.0%Only o4 Mini measured
CL-bench13.2%Not measuredOnly DeepSeek V3.2 Exp measured
CL-bench Life9.5%Not measuredOnly DeepSeek V3.2 Exp measured
LMArena Text14251353DeepSeek V3.2 Exp
LMArena Text: instruction following14011320DeepSeek V3.2 Exp
LMArena Text: creative writing14041294DeepSeek V3.2 Exp
LMArena VisionNot measured1194Only o4 Mini measured
LMArena Text: English14411367DeepSeek V3.2 Exp
LMArena Text: non-English14041337DeepSeek V3.2 Exp
LMArena Text: Chinese14611354DeepSeek V3.2 Exp
LMArena Text: German14401336DeepSeek V3.2 Exp
LMArena Text: Japanese13311308DeepSeek V3.2 Exp
LMArena Text: Korean13721312DeepSeek V3.2 Exp
LMArena Text: French14341364DeepSeek V3.2 Exp
LMArena Text: Spanish14411346DeepSeek V3.2 Exp
LMArena Text: Russian14121334DeepSeek V3.2 Exp
LMArena Text: Polish14351358DeepSeek V3.2 Exp
LMArena Text: multi-turn14221350DeepSeek V3.2 Exp
LMArena Text: longer queries14181315DeepSeek V3.2 Exp
LMArena Text: writing and language14071316DeepSeek V3.2 Exp
LMArena Text: entertainment and media14071308DeepSeek V3.2 Exp
LMArena Vision: EnglishNot measured1200Only o4 Mini measured
LMArena Vision: ChineseNot measured1218Only o4 Mini measured
LMArena Vision: reading textNot measured1197Only o4 Mini measured
LMArena Vision: humorNot measured1199Only o4 Mini measured
LMArena Vision: captioningNot measured1204Only o4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only o4 Mini measured
LMArena Vision: creative writingNot measured1166Only o4 Mini measured
Neither model has a result on the other 11 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 o4 Mini
BenchmarkDeepSeek V3.2 Expo4 MiniLeader
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
o4 Mini$0.0033Fits 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
o4 Mini$0.068Fits 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
o4 Mini$0.264Exceeds the context window

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 o4 Mini
SpecificationDeepSeek V3.2 ExpOpenAI o4 Mini
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 29, 2025April 16, 2025
Context window164K200K
Input $/Mtok$0.27$1.10
Output $/Mtok$0.41$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 Exp better than o4 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3.2 Exp for output tokens 10.7x cheaper ($0.41 vs $4.40 per million) and work measured by LiveCodeBench (Artificial Analysis run) or WeirdML, where it leads.

Which is cheaper, DeepSeek V3.2 Exp or o4 Mini?

DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3.2 Exp or o4 Mini?

o4 Mini, with 200K tokens against 164K.

How many benchmarks is the DeepSeek V3.2 Exp vs o4 Mini comparison based on?

53 benchmarks have a result for both models as of October 21, 2026. DeepSeek V3.2 Exp's coding index rests on 1 independent benchmark and o4 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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