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DeepSeek V3 0324 vs DeepSeek V3.2 Exp

DeepSeek V3.2 Exp leads DeepSeek V3 0324 on the Artificial Analysis Intelligence Index, 16.6 to 9.7, and DeepSeek V3.2 Exp costs 2.6x less per output token ($0.41 vs $1.07 per million). Updated October 22, 2026; 15 benchmarks have a result for both.

Replace DeepSeek V3 0324 Replace DeepSeek V3.2 Exp
DeepSeek V3 0324DeepSeek
Coding
No data
Overall
No data
Output $/M
$1.07
1
DeepSeek V3.2 ExpDeepSeek
Coding
No data
Overall
No data
Output $/M
$0.41
14
vs boards won of 15 shared

DeepSeek V3 0324 or DeepSeek V3.2 Exp: which to pick

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

Pick DeepSeek V3 0324 for work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model ADeepSeek V3 0324DeepSeekNot benchmarkedNo coding benchmarkNo cost per solved taskModel BDeepSeek V3.2 ExpDeepSeekNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
15
DeepSeek V3 0324 only
20
DeepSeek V3.2 Exp only
44
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 0324 not benchmarked, DeepSeek V3.2 Exp not benchmarked.
Widest category
Math, 46.7 points apart on average over 2 shared benchmarks.
Widest single gap
AA Math Index: DeepSeek V3 0324 41.0 against DeepSeek V3.2 Exp 87.7, 46.7 points apart on a 0 to 100 scale.
Output price
DeepSeek V3 0324 $1.07 against DeepSeek V3.2 Exp $0.41 per million output tokens, 2.6x apart.
Context window
Both take 164K tokens.

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 0324BarsDeepSeek V3.2 ExpTies
Coding03
Intelligence01
Agentic work10
Reasoning02
Math02
Knowledge01
General05
All shared boards114
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for DeepSeek V3 0324 and DeepSeek V3.2 Exp
BenchmarkDeepSeek V3 0324DeepSeek V3.2 ExpLeader
Aider polyglotNot measured74.2%Only DeepSeek V3.2 Exp measured
SWE-bench Verified42.0%Not measuredOnly DeepSeek V3 0324 measured
LMArena WebDevNot measured1272Only DeepSeek V3.2 Exp measured
AA Coding Index21.2Not measuredOnly DeepSeek V3 0324 measured
LiveCodeBench (Vals AI)65.5%Not measuredOnly DeepSeek V3 0324 measured
LiveCodeBench (Artificial Analysis run)40.5%78.9%DeepSeek V3.2 Exp
SciCode39.0%Not measuredOnly DeepSeek V3 0324 measured
Terminal-Bench Hard (Artificial Analysis run)15.2%31.1%DeepSeek V3.2 Exp
WeirdML36.1%39.5%DeepSeek V3.2 Exp
LMArena Text: codingNot measured1438Only DeepSeek V3.2 Exp measured
LMArena Text: software and ITNot measured1438Only DeepSeek V3.2 Exp measured
LMArena WebDev: HTMLNot measured1281Only DeepSeek V3.2 Exp measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for DeepSeek V3 0324 and DeepSeek V3.2 Exp
BenchmarkDeepSeek V3 0324DeepSeek V3.2 ExpLeader
AA Intelligence Index9.716.6DeepSeek V3.2 Exp
Epoch Capabilities IndexNot measured144.9Only DeepSeek V3.2 Exp measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V3 0324 and DeepSeek V3.2 Exp
BenchmarkDeepSeek V3 0324DeepSeek V3.2 ExpLeader
AA Agentic Index0.8Not measuredOnly DeepSeek V3 0324 measured
τ²-Bench Telecom47.1%33.9%DeepSeek V3 0324
METR time horizons49.6%Not measuredOnly DeepSeek V3 0324 measured
TheAgentCompanyNot measured42.9%Only DeepSeek V3.2 Exp measured
Berkeley Function Calling Leaderboard (BFCL)Not measured56.7%Only DeepSeek V3.2 Exp measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for DeepSeek V3 0324 and DeepSeek V3.2 Exp
BenchmarkDeepSeek V3 0324DeepSeek V3.2 ExpLeader
GPQA Diamond61.6%Not measuredOnly DeepSeek V3 0324 measured
GPQA Diamond (Artificial Analysis run)65.5%79.7%DeepSeek V3.2 Exp
Humanity's Last Exam (Artificial Analysis run)4.7%14.9%DeepSeek V3.2 Exp
GPQA Diamond (Epoch AI run)67.6%Not measuredOnly DeepSeek V3 0324 measured
SimpleBench27.2%Not measuredOnly DeepSeek V3 0324 measured
LMArena Text: hard promptsNot measured1429Only DeepSeek V3.2 Exp measured
LMArena Text: expertNot measured1422Only DeepSeek V3.2 Exp measured
LMArena Text: hard prompts in EnglishNot measured1444Only DeepSeek V3.2 Exp measured
Kagi LLM BenchmarkNot measured52.2%Only DeepSeek V3.2 Exp measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for DeepSeek V3 0324 and DeepSeek V3.2 Exp
BenchmarkDeepSeek V3 0324DeepSeek V3.2 ExpLeader
AIME52.2%Not measuredOnly DeepSeek V3 0324 measured
MATH 500 (Vals AI)88.6%Not measuredOnly DeepSeek V3 0324 measured
MGSM (Vals AI)91.7%Not measuredOnly DeepSeek V3 0324 measured
AA Math Index41.087.7DeepSeek V3.2 Exp
AIME 2025 (Artificial Analysis run)41.0%87.7%DeepSeek V3.2 Exp
OTIS Mock AIME37.8%Not measuredOnly DeepSeek V3 0324 measured
MATH level 575.5%Not measuredOnly DeepSeek V3 0324 measured
LMArena Text: mathNot measured1422Only DeepSeek V3.2 Exp measured
LMArena Text: mathematical workNot measured1433Only DeepSeek V3.2 Exp measured
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for DeepSeek V3 0324 and DeepSeek V3.2 Exp
BenchmarkDeepSeek V3 0324DeepSeek V3.2 ExpLeader
MMLU Pro79.5%Not measuredOnly DeepSeek V3 0324 measured
LegalBench (Vals AI)77.7%Not measuredOnly DeepSeek V3 0324 measured
CorpFin (Vals AI)54.7%Not measuredOnly DeepSeek V3 0324 measured
TaxEval (Vals AI)71.1%Not measuredOnly DeepSeek V3 0324 measured
MedQA (Vals AI)82.0%Not measuredOnly DeepSeek V3 0324 measured
MMLU Pro (Artificial Analysis run)81.9%85.0%DeepSeek V3.2 Exp
LMArena Text: scienceNot measured1443Only DeepSeek V3.2 Exp measured
LMArena Text: medicine and healthcareNot measured1468Only DeepSeek V3.2 Exp measured
LMArena Text: legal and governmentNot measured1419Only DeepSeek V3.2 Exp measured
LMArena Text: business and financeNot measured1412Only DeepSeek V3.2 Exp measured
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for DeepSeek V3 0324 and DeepSeek V3.2 Exp
BenchmarkDeepSeek V3 0324DeepSeek V3.2 ExpLeader
Design Arena: websitesNot measured1178Only DeepSeek V3.2 Exp measured
Design Arena: UI componentsNot measured1164Only DeepSeek V3.2 Exp measured
Design Arena: game devNot measured1144Only DeepSeek V3.2 Exp measured
Design Arena: data vizNot measured1152Only DeepSeek V3.2 Exp measured
Design Arena: 3DNot measured1148Only DeepSeek V3.2 Exp measured
Design Arena: all code categoriesNot measured1170Only DeepSeek V3.2 Exp measured
Design Arena: SVGNot measured1031Only 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 index05
General benchmarks for DeepSeek V3 0324 and DeepSeek V3.2 Exp
BenchmarkDeepSeek V3 0324DeepSeek V3.2 ExpLeader
IFBench41.0%54.1%DeepSeek V3.2 Exp
Long context reasoning (AA-LCR)40.7%72.3%DeepSeek V3.2 Exp
DTBench64.8%87.7%DeepSeek V3.2 Exp
LMCA15.5%29.1%DeepSeek V3.2 Exp
Fiction.LiveBench50.0%83.3%DeepSeek V3.2 Exp
Creative writing (Lech Mazur)77.0%Not measuredOnly DeepSeek V3 0324 measured
CL-benchNot measured13.2%Only DeepSeek V3.2 Exp measured
CL-bench LifeNot measured9.5%Only DeepSeek V3.2 Exp measured
LMArena TextNot measured1425Only DeepSeek V3.2 Exp measured
LMArena Text: instruction followingNot measured1401Only DeepSeek V3.2 Exp measured
LMArena Text: creative writingNot measured1404Only DeepSeek V3.2 Exp measured
LMArena Text: EnglishNot measured1441Only DeepSeek V3.2 Exp measured
LMArena Text: non-EnglishNot measured1404Only DeepSeek V3.2 Exp measured
LMArena Text: ChineseNot measured1461Only DeepSeek V3.2 Exp measured
LMArena Text: GermanNot measured1440Only DeepSeek V3.2 Exp measured
LMArena Text: JapaneseNot measured1331Only DeepSeek V3.2 Exp measured
LMArena Text: KoreanNot measured1372Only DeepSeek V3.2 Exp measured
LMArena Text: FrenchNot measured1434Only DeepSeek V3.2 Exp measured
LMArena Text: SpanishNot measured1441Only DeepSeek V3.2 Exp measured
LMArena Text: RussianNot measured1412Only DeepSeek V3.2 Exp measured
LMArena Text: PolishNot measured1435Only DeepSeek V3.2 Exp measured
LMArena Text: multi-turnNot measured1422Only DeepSeek V3.2 Exp measured
LMArena Text: longer queriesNot measured1418Only DeepSeek V3.2 Exp measured
LMArena Text: writing and languageNot measured1407Only DeepSeek V3.2 Exp measured
LMArena Text: entertainment and mediaNot measured1407Only DeepSeek V3.2 Exp measured
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 0324 and DeepSeek V3.2 Exp
BenchmarkDeepSeek V3 0324DeepSeek V3.2 ExpLeader
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 0324$0.0008Fits in one request
DeepSeek V3.2 Exp$0.0005Fits in one request

DeepSeek V3.2 Exp costs less

Repository review

50K input + 3K output tokens

DeepSeek V3 0324$0.017Fits in one request
DeepSeek V3.2 Exp$0.015Fits in one request

DeepSeek V3.2 Exp costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3 0324$0.065Exceeds the context window
DeepSeek V3.2 Exp$0.058Exceeds 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 0324 and DeepSeek V3.2 Exp
SpecificationDeepSeek V3 0324DeepSeek V3.2 Exp
MakerDeepSeekDeepSeek
WeightsOpen weightsOpen weights
ReleasedMarch 24, 2025September 29, 2025
Context window164K164K
Input $/Mtok$0.27$0.27
Output $/Mtok$1.07$0.41
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3 0324 better than DeepSeek V3.2 Exp for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V3 0324 for work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, DeepSeek V3 0324 or DeepSeek V3.2 Exp?

DeepSeek V3 0324 costs $0.27 per million input tokens and $1.07 per million output tokens; DeepSeek V3.2 Exp costs $0.27 and $0.41. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V3 0324 or DeepSeek V3.2 Exp?

Neither: both take 164K tokens.

How many benchmarks is the DeepSeek V3 0324 vs DeepSeek V3.2 Exp comparison based on?

15 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3 0324's coding index rests on 0 independent benchmarks and DeepSeek V3.2 Exp's on 1. Where only one model has a result, the page says so instead of naming a winner.

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