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DeepSeek V3.2 Exp vs GPT-5.4 Nano

GPT-5.4 Nano leads DeepSeek V3.2 Exp on the Artificial Analysis Intelligence Index, 20.7 to 16.6, and DeepSeek V3.2 Exp costs 3.0x less per output token ($0.41 vs $1.25 per million). Updated October 22, 2026; 40 benchmarks have a result for both.

Replace DeepSeek V3.2 Exp Replace GPT-5.4 Nano
DeepSeek V3.2 ExpDeepSeek
Coding
No data
Overall
No data
Output $/M
$0.41
29
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
11
vs boards won of 40 shared

DeepSeek V3.2 Exp or GPT-5.4 Nano: which to pick

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; DeepSeek V3.2 Exp has none, so the two cannot be ranked on coding.

Pick DeepSeek V3.2 Exp for output tokens 3.0x cheaper ($0.41 vs $1.25 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model ADeepSeek V3.2 ExpDeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved task
Shared results
40
DeepSeek V3.2 Exp only
19
GPT-5.4 Nano only
45
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, GPT-5.4 Nano 44.8 from 2 benchmarks.
Widest category
Agentic work, 42.1 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: DeepSeek V3.2 Exp 33.9% against GPT-5.4 Nano 76.0%, 42.1 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 Exp $0.41 against GPT-5.4 Nano $1.25 per million output tokens, 3.0x apart.
Context window
DeepSeek V3.2 Exp takes 164K tokens, GPT-5.4 Nano 400K.

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 ExpBarsGPT-5.4 NanoTies
Coding22
Intelligence02
Agentic work01
Reasoning42
Math20
Knowledge40
General174
All shared boards2911
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
Coding benchmarks for DeepSeek V3.2 Exp and GPT-5.4 Nano
BenchmarkDeepSeek V3.2 ExpGPT-5.4 NanoLeader
Aider polyglot74.2%Not measuredOnly DeepSeek V3.2 Exp measured
LMArena WebDev1272Not measuredOnly DeepSeek V3.2 Exp measured
AA Coding IndexNot measured56.1Only GPT-5.4 Nano measured
LiveCodeBench (Vals AI)Not measured84.0%Only GPT-5.4 Nano measured
SWE-bench Verified (Vals AI)Not measured69.8%Only GPT-5.4 Nano measured
Vibe Code Bench (Vals AI)Not measured26.1%Only GPT-5.4 Nano measured
Code migration (Vals AI)Not measured14.5%Only GPT-5.4 Nano measured
Terminal-Bench 2.1 (Vals AI)Not measured41.6%Only GPT-5.4 Nano measured
LiveCodeBench (Artificial Analysis run)78.9%Not measuredOnly DeepSeek V3.2 Exp measured
SciCodeNot measured47.2%Only GPT-5.4 Nano measured
Terminal-Bench Hard (Artificial Analysis run)31.1%42.4%GPT-5.4 Nano
WeirdML39.5%49.2%GPT-5.4 Nano
ALE-BenchNot measured1004.5Only GPT-5.4 Nano measured
LMArena Text: coding14381404DeepSeek V3.2 Exp
LMArena Text: software and IT14381402DeepSeek V3.2 Exp
LMArena WebDev: HTML1281Not measuredOnly DeepSeek V3.2 Exp measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for DeepSeek V3.2 Exp and GPT-5.4 Nano
BenchmarkDeepSeek V3.2 ExpGPT-5.4 NanoLeader
AA Intelligence Index16.620.7GPT-5.4 Nano
Epoch Capabilities Index144.9146.0GPT-5.4 Nano
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for DeepSeek V3.2 Exp and GPT-5.4 Nano
BenchmarkDeepSeek V3.2 ExpGPT-5.4 NanoLeader
AA Agentic IndexNot measured16.0Only GPT-5.4 Nano measured
Finance Agent (Vals AI)Not measured38.2%Only GPT-5.4 Nano measured
Tax Agent Bench (Vals AI)Not measured5.0%Only GPT-5.4 Nano measured
Legal Research Bench (Vals AI)Not measured6.3%Only GPT-5.4 Nano measured
Excel Modeling Benchmark (Vals AI)Not measured44.8%Only GPT-5.4 Nano measured
τ²-Bench Telecom33.9%76.0%GPT-5.4 Nano
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 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index42
Reasoning benchmarks for DeepSeek V3.2 Exp and GPT-5.4 Nano
BenchmarkDeepSeek V3.2 ExpGPT-5.4 NanoLeader
GPQA DiamondNot measured77.5%Only GPT-5.4 Nano measured
MMMU Pro (Vals AI)Not measured73.6%Only GPT-5.4 Nano measured
GPQA Diamond (Artificial Analysis run)79.7%81.7%GPT-5.4 Nano
Humanity's Last Exam (Artificial Analysis run)14.9%28.3%GPT-5.4 Nano
GPQA Diamond (Epoch AI run)Not measured78.5%Only GPT-5.4 Nano measured
ARC-AGINot measured51.5%Only GPT-5.4 Nano measured
ARC-AGI-2Not measured5.7%Only GPT-5.4 Nano measured
Chess puzzlesNot measured45.0%Only GPT-5.4 Nano measured
Mystery game puzzlesNot measured9.0%Only GPT-5.4 Nano measured
LMArena Text: hard prompts14291381DeepSeek V3.2 Exp
LMArena Text: expert14221396DeepSeek V3.2 Exp
LMArena Text: hard prompts in English14441387DeepSeek V3.2 Exp
LMArena Vision: diagramsNot measured1210Only GPT-5.4 Nano measured
LMArena Vision: homeworkNot measured1225Only GPT-5.4 Nano measured
Kagi LLM Benchmark52.2%39.7%DeepSeek V3.2 Exp
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V3.2 Exp and GPT-5.4 Nano
BenchmarkDeepSeek V3.2 ExpGPT-5.4 NanoLeader
AIMENot measured88.8%Only GPT-5.4 Nano 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 measured87.8%Only GPT-5.4 Nano measured
FrontierMath, tiers 1 to 3Not measured44.9%Only GPT-5.4 Nano measured
FrontierMath, tier 4Not measured12.2%Only GPT-5.4 Nano measured
ProofBenchNot measured5.0%Only GPT-5.4 Nano measured
LMArena Text: math14221405DeepSeek V3.2 Exp
LMArena Text: mathematical work14331409DeepSeek V3.2 Exp
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V3.2 Exp and GPT-5.4 Nano
BenchmarkDeepSeek V3.2 ExpGPT-5.4 NanoLeader
MMLU ProNot measured77.2%Only GPT-5.4 Nano measured
LegalBench (Vals AI)Not measured77.9%Only GPT-5.4 Nano measured
CaseLaw (Vals AI)Not measured51.9%Only GPT-5.4 Nano measured
CorpFin (Vals AI)Not measured61.2%Only GPT-5.4 Nano measured
TaxEval (Vals AI)Not measured67.4%Only GPT-5.4 Nano measured
MortgageTax (Vals AI)Not measured59.1%Only GPT-5.4 Nano measured
MedCode (Vals AI)Not measured41.0%Only GPT-5.4 Nano measured
MMLU Pro (Artificial Analysis run)85.0%Not measuredOnly DeepSeek V3.2 Exp measured
SimpleQA VerifiedNot measured11.7%Only GPT-5.4 Nano measured
LMArena Text: science14431374DeepSeek V3.2 Exp
LMArena Text: medicine and healthcare14681369DeepSeek V3.2 Exp
LMArena Text: legal and government14191368DeepSeek V3.2 Exp
LMArena Text: business and finance14121366DeepSeek V3.2 Exp
Neither model has a result on the other 5 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 GPT-5.4 Nano
BenchmarkDeepSeek V3.2 ExpGPT-5.4 NanoLeader
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 index174
General benchmarks for DeepSeek V3.2 Exp and GPT-5.4 Nano
BenchmarkDeepSeek V3.2 ExpGPT-5.4 NanoLeader
SAGE (Vals AI)Not measured38.1%Only GPT-5.4 Nano measured
MedScribe (Vals AI)Not measured77.1%Only GPT-5.4 Nano measured
Vals Multimodal IndexNot measured47.6%Only GPT-5.4 Nano measured
IFBench54.1%75.9%GPT-5.4 Nano
Long context reasoning (AA-LCR)72.3%76.7%GPT-5.4 Nano
DTBench87.7%80.3%DeepSeek V3.2 Exp
LMCA29.1%36.9%GPT-5.4 Nano
Fiction.LiveBench83.3%Not measuredOnly DeepSeek V3.2 Exp measured
CL-bench13.2%Not measuredOnly DeepSeek V3.2 Exp measured
CL-bench Life9.5%Not measuredOnly DeepSeek V3.2 Exp measured
LMArena Text14251372DeepSeek V3.2 Exp
LMArena Text: instruction following14011362DeepSeek V3.2 Exp
LMArena Text: creative writing14041315DeepSeek V3.2 Exp
LMArena VisionNot measured1196Only GPT-5.4 Nano measured
LMArena Text: English14411381DeepSeek V3.2 Exp
LMArena Text: non-English14041359DeepSeek V3.2 Exp
LMArena Text: Chinese14611391DeepSeek V3.2 Exp
LMArena Text: German14401368DeepSeek V3.2 Exp
LMArena Text: Japanese13311343GPT-5.4 Nano
LMArena Text: Korean13721321DeepSeek V3.2 Exp
LMArena Text: French14341395DeepSeek V3.2 Exp
LMArena Text: Spanish14411371DeepSeek V3.2 Exp
LMArena Text: Russian14121363DeepSeek V3.2 Exp
LMArena Text: Polish14351366DeepSeek V3.2 Exp
LMArena Text: multi-turn14221382DeepSeek V3.2 Exp
LMArena Text: longer queries14181365DeepSeek V3.2 Exp
LMArena Text: writing and language14071338DeepSeek V3.2 Exp
LMArena Text: entertainment and media14071325DeepSeek V3.2 Exp
LMArena Vision: EnglishNot measured1202Only GPT-5.4 Nano measured
LMArena Vision: ChineseNot measured1232Only GPT-5.4 Nano measured
LMArena Vision: reading textNot measured1204Only GPT-5.4 Nano measured
LMArena Vision: humorNot measured1161Only GPT-5.4 Nano measured
LMArena Vision: recognizing thingsNot measured1141Only GPT-5.4 Nano measured
LMArena Vision: creative writingNot measured1159Only GPT-5.4 Nano measured
Neither model has a result on the other 12 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 GPT-5.4 Nano
BenchmarkDeepSeek V3.2 ExpGPT-5.4 NanoLeader
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
GPT-5.4 Nano$0.0008Fits 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
GPT-5.4 Nano$0.014Fits in one request

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2 Exp$0.058Exceeds the context window
GPT-5.4 Nano$0.052Fits in one request

GPT-5.4 Nano 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 GPT-5.4 Nano
SpecificationDeepSeek V3.2 ExpOpenAI GPT-5.4 Nano
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 29, 2025March 17, 2026
Context window164K400K
Input $/Mtok$0.27$0.20
Output $/Mtok$0.41$1.25
Coding indexNot benchmarked44.8
Independent measurements behind it12
Cost per solved taskNot computable$0.14
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 Exp better than GPT-5.4 Nano for coding?

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; DeepSeek V3.2 Exp has none, so the two cannot be ranked on coding. Pick DeepSeek V3.2 Exp for output tokens 3.0x cheaper ($0.41 vs $1.25 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, DeepSeek V3.2 Exp or GPT-5.4 Nano?

DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Cost per solved task is known for GPT-5.4 Nano only.

Which has the bigger context window, DeepSeek V3.2 Exp or GPT-5.4 Nano?

GPT-5.4 Nano, with 400K tokens against 164K.

How many benchmarks is the DeepSeek V3.2 Exp vs GPT-5.4 Nano comparison based on?

40 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 GPT-5.4 Nano's on 2. Where only one model has a result, the page says so instead of naming a winner.

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