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DeepSeek V3.2 vs GPT-5.4 Nano

GPT-5.4 Nano leads DeepSeek V3.2 on coding, 44.8 to 30.0 on the Vibe Coding Index, and DeepSeek V3.2 costs 1.4x less per output token ($0.88 vs $1.25 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Replace DeepSeek V3.2 Replace GPT-5.4 Nano
DeepSeek V3.2DeepSeek
Coding
30.0
Overall
37.9
Output $/M
$0.88
38
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
13
vs boards won of 51 shared

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

Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 30.0 for DeepSeek V3.2, though on 2 benchmarks against 3.

Pick DeepSeek V3.2 for output tokens 1.4x cheaper ($0.88 vs $1.25 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model ADeepSeek V3.2DeepSeek30.0/1003 independent benchmarks$0.99 per solved taskModel BGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved task
Shared results
51
DeepSeek V3.2 only
24
GPT-5.4 Nano only
34
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 30.0 from 3 benchmarks, GPT-5.4 Nano 44.8 from 2 benchmarks.
Widest category
Agentic work, 14.6 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V3.2 5.1% against GPT-5.4 Nano 26.1%, 21.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 $0.88 against GPT-5.4 Nano $1.25 per million output tokens, 1.4x apart.
Context window
DeepSeek V3.2 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 V3.2BarsGPT-5.4 NanoTies
Coding25
Intelligence20
Agentic work10
Reasoning62
Math21
Knowledge72
General183
All shared boards3813
CodingLike-for-likeSix of these boards feed the Vibe Coding Index25
Coding benchmarks for DeepSeek V3.2 and GPT-5.4 Nano
BenchmarkDeepSeek V3.2GPT-5.4 NanoLeader
SWE-bench Verified70.0%Not measuredOnly DeepSeek V3.2 measured
SWE-bench Multilingual59.0%Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev1362Not measuredOnly DeepSeek V3.2 measured
AA Coding Index44.256.1GPT-5.4 Nano
LiveCodeBench (Vals AI)80.7%84.0%GPT-5.4 Nano
SWE-bench Verified (Vals AI)67.6%69.8%GPT-5.4 Nano
Vibe Code Bench (Vals AI)5.1%26.1%GPT-5.4 Nano
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)86.2%Not measuredOnly DeepSeek V3.2 measured
SciCodeNot measured47.2%Only GPT-5.4 Nano measured
Terminal-Bench Hard (Artificial Analysis run)35.6%42.4%GPT-5.4 Nano
Terminal-Bench39.6%Not measuredOnly DeepSeek V3.2 measured
WeirdMLNot measured49.2%Only GPT-5.4 Nano measured
ALE-BenchNot measured1004.5Only GPT-5.4 Nano measured
LMArena Text: coding14531404DeepSeek V3.2
LMArena Text: software and IT14491402DeepSeek V3.2
LMArena WebDev: React1350Not measuredOnly DeepSeek V3.2 measured
LMArena WebDev: HTML1371Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V3.2 and GPT-5.4 Nano
BenchmarkDeepSeek V3.2GPT-5.4 NanoLeader
AA Intelligence Index21.520.7DeepSeek V3.2
Epoch Capabilities Index146.1146.0DeepSeek V3.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for DeepSeek V3.2 and GPT-5.4 Nano
BenchmarkDeepSeek V3.2GPT-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 Telecom90.6%76.0%DeepSeek V3.2
APEX-Agents21.3%Not measuredOnly DeepSeek V3.2 measured
Vending-Bench 2$1,034Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index62
Reasoning benchmarks for DeepSeek V3.2 and GPT-5.4 Nano
BenchmarkDeepSeek V3.2GPT-5.4 NanoLeader
GPQA Diamond80.3%77.5%DeepSeek V3.2
MMMU Pro (Vals AI)Not measured73.6%Only GPT-5.4 Nano measured
GPQA Diamond (Artificial Analysis run)84.0%81.7%DeepSeek V3.2
Humanity's Last Exam (Artificial Analysis run)24.6%28.3%GPT-5.4 Nano
GPQA Diamond (Epoch AI run)Not measured78.5%Only GPT-5.4 Nano measured
ARC-AGI57.0%51.5%DeepSeek V3.2
ARC-AGI-24.0%5.7%GPT-5.4 Nano
Chess puzzlesNot measured45.0%Only GPT-5.4 Nano measured
Mystery game puzzlesNot measured9.0%Only GPT-5.4 Nano measured
LMArena Text: hard prompts14341381DeepSeek V3.2
LMArena Text: expert14361396DeepSeek V3.2
LMArena Text: hard prompts in English14461387DeepSeek V3.2
LMArena Vision: diagramsNot measured1210Only GPT-5.4 Nano measured
LMArena Vision: homeworkNot measured1225Only GPT-5.4 Nano measured
Kagi LLM BenchmarkNot measured39.7%Only GPT-5.4 Nano measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for DeepSeek V3.2 and GPT-5.4 Nano
BenchmarkDeepSeek V3.2GPT-5.4 NanoLeader
AIME84.6%88.8%GPT-5.4 Nano
MGSM (Vals AI)86.0%Not measuredOnly DeepSeek V3.2 measured
AA Math Index92.0Not measuredOnly DeepSeek V3.2 measured
AIME 2025 (Artificial Analysis run)92.0%Not measuredOnly DeepSeek V3.2 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: math14351405DeepSeek V3.2
LMArena Text: mathematical work14401409DeepSeek V3.2
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index72
Knowledge benchmarks for DeepSeek V3.2 and GPT-5.4 Nano
BenchmarkDeepSeek V3.2GPT-5.4 NanoLeader
MMLU Pro84.9%77.2%DeepSeek V3.2
LegalBench (Vals AI)76.1%77.9%GPT-5.4 Nano
CaseLaw (Vals AI)55.4%51.9%DeepSeek V3.2
CorpFin (Vals AI)51.0%61.2%GPT-5.4 Nano
TaxEval (Vals AI)68.2%67.4%DeepSeek V3.2
MortgageTax (Vals AI)Not measured59.1%Only GPT-5.4 Nano measured
MedQA (Vals AI)93.9%Not measuredOnly DeepSeek V3.2 measured
MedCode (Vals AI)Not measured41.0%Only GPT-5.4 Nano measured
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly DeepSeek V3.2 measured
SimpleQA VerifiedNot measured11.7%Only GPT-5.4 Nano measured
LMArena Text: science14461374DeepSeek V3.2
LMArena Text: medicine and healthcare14401369DeepSeek V3.2
LMArena Text: legal and government14251368DeepSeek V3.2
LMArena Text: business and finance14101366DeepSeek V3.2
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V3.2 and GPT-5.4 Nano
BenchmarkDeepSeek V3.2GPT-5.4 NanoLeader
Design Arena: websites1175Not measuredOnly DeepSeek V3.2 measured
Design Arena: UI components1146Not measuredOnly DeepSeek V3.2 measured
Design Arena: game dev1131Not measuredOnly DeepSeek V3.2 measured
Design Arena: data viz1158Not measuredOnly DeepSeek V3.2 measured
Design Arena: 3D1132Not measuredOnly DeepSeek V3.2 measured
Design Arena: all code categories1163Not measuredOnly DeepSeek V3.2 measured
Design Arena: SVG1032Not measuredOnly DeepSeek V3.2 measured
Design Arena: ASCII art1083Not measuredOnly DeepSeek V3.2 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index183
General benchmarks for DeepSeek V3.2 and GPT-5.4 Nano
BenchmarkDeepSeek V3.2GPT-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
IFBench60.7%75.9%GPT-5.4 Nano
Long context reasoning (AA-LCR)73.3%76.7%GPT-5.4 Nano
DTBench85.6%80.3%DeepSeek V3.2
LMCA28.8%36.9%GPT-5.4 Nano
CL-bench12.4%Not measuredOnly DeepSeek V3.2 measured
CL-bench Life7.4%Not measuredOnly DeepSeek V3.2 measured
LMArena Text14251372DeepSeek V3.2
LMArena Text: instruction following14131362DeepSeek V3.2
LMArena Text: creative writing14001315DeepSeek V3.2
LMArena VisionNot measured1196Only GPT-5.4 Nano measured
LMArena Text: English14391381DeepSeek V3.2
LMArena Text: non-English14091359DeepSeek V3.2
LMArena Text: Chinese14551391DeepSeek V3.2
LMArena Text: German14131368DeepSeek V3.2
LMArena Text: Japanese13741343DeepSeek V3.2
LMArena Text: Korean13701321DeepSeek V3.2
LMArena Text: French14291395DeepSeek V3.2
LMArena Text: Spanish14241371DeepSeek V3.2
LMArena Text: Russian14241363DeepSeek V3.2
LMArena Text: Polish14191366DeepSeek V3.2
LMArena Text: multi-turn14271382DeepSeek V3.2
LMArena Text: longer queries14281365DeepSeek V3.2
LMArena Text: writing and language14071338DeepSeek V3.2
LMArena Text: entertainment and media13951325DeepSeek V3.2
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 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V3.2 and GPT-5.4 Nano
BenchmarkDeepSeek V3.2GPT-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$0.0007Fits in one request
GPT-5.4 Nano$0.0008Fits in one request

DeepSeek V3.2 costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2$0.017Fits 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$0.067Exceeds 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 and GPT-5.4 Nano
SpecificationDeepSeek V3.2OpenAI GPT-5.4 Nano
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedDecember 1, 2025March 17, 2026
Context window164K400K
Input $/Mtok$0.29$0.20
Output $/Mtok$0.88$1.25
Coding index30.044.8
Independent measurements behind it32
Cost per solved task$0.99$0.14
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 30.0 for DeepSeek V3.2, though on 2 benchmarks against 3. Pick DeepSeek V3.2 for output tokens 1.4x cheaper ($0.88 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 or GPT-5.4 Nano?

DeepSeek V3.2 costs $0.29 per million input tokens and $0.88 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Per solved SWE-bench Verified task, DeepSeek V3.2 costs $0.99 and GPT-5.4 Nano $0.14.

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

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

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

51 benchmarks have a result for both models as of October 22, 2026. DeepSeek V3.2's coding index rests on 3 independent benchmarks 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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