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DeepSeek V3.2 Exp vs o3 Mini

DeepSeek V3.2 Exp leads o3 Mini on the Artificial Analysis Intelligence Index, 16.6 to 12.5, and DeepSeek V3.2 Exp costs 10.7x less per output token ($0.41 vs $4.40 per million). Updated October 22, 2026; 43 benchmarks have a result for both.

Replace DeepSeek V3.2 Exp Replace o3 Mini
DeepSeek V3.2 ExpDeepSeek
Coding
No data
Overall
No data
Output $/M
$0.41
41
o3 MiniOpenAI
Coding
No data
Overall
38.0
Output $/M
$4.40
2
vs boards won of 43 shared

DeepSeek V3.2 Exp or o3 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 WeirdML or IFBench, where it leads.

Model ADeepSeek V3.2 ExpDeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel Bo3 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
43
DeepSeek V3.2 Exp only
16
o3 Mini only
28
Like-for-like categories
7 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, o3 Mini not benchmarked.
Widest category
General, 17.1 points apart on average over 22 shared benchmarks.
Widest single gap
Fiction.LiveBench: DeepSeek V3.2 Exp 83.3% against o3 Mini 50.0%, 33.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 Exp $0.41 against o3 Mini $4.40 per million output tokens, 10.7x apart.
Context window
DeepSeek V3.2 Exp takes 164K tokens, o3 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 ExpBarso3 MiniTies
Coding51
Intelligence20
Agentic work10
Reasoning50
Math20
Knowledge50
General211
All shared boards412
CodingLike-for-likeSix of these boards feed the Vibe Coding Index51
Coding benchmarks for DeepSeek V3.2 Exp and o3 Mini
BenchmarkDeepSeek V3.2 Expo3 MiniLeader
Aider polyglot74.2%60.4%DeepSeek V3.2 Exp
SWE-bench VerifiedNot measured42.4%Only o3 Mini measured
SWE-bench LiteNot measured32.3%Only o3 Mini measured
LMArena WebDev1272Not measuredOnly DeepSeek V3.2 Exp measured
LiveCodeBench (Vals AI)Not measured71.5%Only o3 Mini measured
LiveCodeBench (Artificial Analysis run)78.9%73.4%DeepSeek V3.2 Exp
SciCodeNot measured42.8%Only o3 Mini measured
Terminal-Bench Hard (Artificial Analysis run)31.1%6.8%DeepSeek V3.2 Exp
GSO-BenchNot measured1.3%Only o3 Mini measured
WeirdML39.5%43.7%o3 Mini
CybenchNot measured22.5%Only o3 Mini measured
LMArena Text: coding14381378DeepSeek V3.2 Exp
LMArena Text: software and IT14381364DeepSeek V3.2 Exp
LMArena WebDev: HTML1281Not measuredOnly DeepSeek V3.2 Exp measured
SciCodeNot measured7.7%Only o3 Mini measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V3.2 Exp and o3 Mini
BenchmarkDeepSeek V3.2 Expo3 MiniLeader
AA Intelligence Index16.612.5DeepSeek V3.2 Exp
Epoch Capabilities Index144.9140.2DeepSeek V3.2 Exp
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V3.2 Exp and o3 Mini
BenchmarkDeepSeek V3.2 Expo3 MiniLeader
τ²-Bench Telecom33.9%31.3%DeepSeek V3.2 Exp
TheAgentCompany42.9%Not measuredOnly DeepSeek V3.2 Exp measured
Berkeley Function Calling Leaderboard (BFCL)56.7%Not measuredOnly DeepSeek V3.2 Exp measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for DeepSeek V3.2 Exp and o3 Mini
BenchmarkDeepSeek V3.2 Expo3 MiniLeader
GPQA DiamondNot measured75.5%Only o3 Mini measured
GPQA Diamond (Artificial Analysis run)79.7%77.3%DeepSeek V3.2 Exp
Humanity's Last Exam (Artificial Analysis run)14.9%12.0%DeepSeek V3.2 Exp
GPQA Diamond (Epoch AI run)Not measured77.0%Only o3 Mini measured
ARC-AGINot measured34.5%Only o3 Mini measured
ARC-AGI-2Not measured3.0%Only o3 Mini measured
SimpleBenchNot measured22.8%Only o3 Mini measured
Chess puzzlesNot measured15.0%Only o3 Mini measured
Mystery game puzzlesNot measured7.0%Only o3 Mini measured
LMArena Text: hard prompts14291365DeepSeek V3.2 Exp
LMArena Text: expert14221364DeepSeek V3.2 Exp
LMArena Text: hard prompts in English14441375DeepSeek V3.2 Exp
Kagi LLM Benchmark52.2%Not measuredOnly DeepSeek V3.2 Exp measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V3.2 Exp and o3 Mini
BenchmarkDeepSeek V3.2 Expo3 MiniLeader
AIMENot measured86.5%Only o3 Mini measured
MATH 500 (Vals AI)Not measured91.8%Only o3 Mini measured
MGSM (Vals AI)Not measured91.3%Only o3 Mini measured
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 measured76.9%Only o3 Mini measured
FrontierMath, tiers 1 to 3Not measured18.6%Only o3 Mini measured
FrontierMath, tier 4Not measured0.0%Only o3 Mini measured
MATH level 5Not measured96.5%Only o3 Mini measured
LMArena Text: math14221396DeepSeek V3.2 Exp
LMArena Text: mathematical work14331399DeepSeek 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 o3 Mini
BenchmarkDeepSeek V3.2 Expo3 MiniLeader
MMLU ProNot measured78.7%Only o3 Mini measured
LegalBench (Vals AI)Not measured71.5%Only o3 Mini measured
CorpFin (Vals AI)Not measured45.3%Only o3 Mini measured
TaxEval (Vals AI)Not measured69.4%Only o3 Mini measured
MedQA (Vals AI)Not measured94.8%Only o3 Mini measured
MMLU Pro (Artificial Analysis run)85.0%80.2%DeepSeek V3.2 Exp
SimpleQA VerifiedNot measured15.3%Only o3 Mini measured
LMArena Text: science14431339DeepSeek V3.2 Exp
LMArena Text: medicine and healthcare14681330DeepSeek V3.2 Exp
LMArena Text: legal and government14191328DeepSeek V3.2 Exp
LMArena Text: business and finance14121313DeepSeek V3.2 Exp
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for DeepSeek V3.2 Exp and o3 Mini
BenchmarkDeepSeek V3.2 Expo3 MiniLeader
Design Arena: websites1178Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: UI components1164Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: game dev1144Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: data viz1152Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: 3D1148Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: all code categories1170Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: SVG1031Not 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 o3 Mini
BenchmarkDeepSeek V3.2 Expo3 MiniLeader
IFBench54.1%67.1%o3 Mini
Long context reasoning (AA-LCR)72.3%43.0%DeepSeek V3.2 Exp
DTBench87.7%68.8%DeepSeek V3.2 Exp
LMCA29.1%19.0%DeepSeek V3.2 Exp
Fiction.LiveBench83.3%50.0%DeepSeek V3.2 Exp
Creative writing (Lech Mazur)Not measured61.7%Only o3 Mini measured
CL-bench13.2%Not measuredOnly DeepSeek V3.2 Exp measured
CL-bench Life9.5%Not measuredOnly DeepSeek V3.2 Exp measured
LMArena Text14251337DeepSeek V3.2 Exp
LMArena Text: instruction following14011337DeepSeek V3.2 Exp
LMArena Text: creative writing14041286DeepSeek V3.2 Exp
LMArena Text: English14411351DeepSeek V3.2 Exp
LMArena Text: non-English14041319DeepSeek V3.2 Exp
LMArena Text: Chinese14611379DeepSeek V3.2 Exp
LMArena Text: German14401303DeepSeek V3.2 Exp
LMArena Text: Japanese13311286DeepSeek V3.2 Exp
LMArena Text: Korean13721313DeepSeek V3.2 Exp
LMArena Text: French14341334DeepSeek V3.2 Exp
LMArena Text: Spanish14411321DeepSeek V3.2 Exp
LMArena Text: Russian14121304DeepSeek V3.2 Exp
LMArena Text: Polish14351294DeepSeek V3.2 Exp
LMArena Text: multi-turn14221320DeepSeek V3.2 Exp
LMArena Text: longer queries14181343DeepSeek V3.2 Exp
LMArena Text: writing and language14071313DeepSeek V3.2 Exp
LMArena Text: entertainment and media14071283DeepSeek V3.2 Exp
Neither model has a result on the other 21 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 o3 Mini
BenchmarkDeepSeek V3.2 Expo3 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
o3 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
o3 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
o3 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 o3 Mini
SpecificationDeepSeek V3.2 ExpOpenAI o3 Mini
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 29, 2025January 31, 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 o3 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 WeirdML or IFBench, where it leads.

Which is cheaper, DeepSeek V3.2 Exp or o3 Mini?

DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens; o3 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 o3 Mini?

o3 Mini, with 200K tokens against 164K.

How many benchmarks is the DeepSeek V3.2 Exp vs o3 Mini comparison based on?

43 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.2 Exp's coding index rests on 1 independent benchmark and o3 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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