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DeepSeek V3.2 Exp vs GPT-5.4 Mini

GPT-5.4 Mini leads DeepSeek V3.2 Exp on the Artificial Analysis Intelligence Index, 24.1 to 16.6, and DeepSeek V3.2 Exp costs 11.0x less per output token ($0.41 vs $4.50 per million). Updated October 21, 2026; 42 benchmarks have a result for both.

Replace DeepSeek V3.2 Exp Replace GPT-5.4 Mini
DeepSeek V3.2 ExpDeepSeek
Coding
No data
Overall
No data
Output $/M
$0.41
22
GPT-5.4 MiniOpenAI
Coding
35.8
Overall
44.0
Output $/M
$4.50
20
vs boards won of 42 shared

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

Only GPT-5.4 Mini has a coding score, 35.8 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 11.0x cheaper ($0.41 vs $4.50 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 MiniOpenAI35.8/1005 independent benchmarks$0.70 per solved task
Shared results
42
DeepSeek V3.2 Exp only
17
GPT-5.4 Mini only
47
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 Mini 35.8 from 5 benchmarks.
Widest category
Agentic work, 49.4 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: DeepSeek V3.2 Exp 33.9% against GPT-5.4 Mini 83.3%, 49.4 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 Exp $0.41 against GPT-5.4 Mini $4.50 per million output tokens, 11.0x apart.
Context window
DeepSeek V3.2 Exp takes 164K tokens, GPT-5.4 Mini 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 MiniTies
Coding24
Intelligence02
Agentic work01
Reasoning33
Math20
Knowledge31
General129
All shared boards2220
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
Coding benchmarks for DeepSeek V3.2 Exp and GPT-5.4 Mini
BenchmarkDeepSeek V3.2 ExpGPT-5.4 MiniLeader
Aider polyglot74.2%Not measuredOnly DeepSeek V3.2 Exp measured
LMArena WebDev12721397GPT-5.4 Mini
AA Coding IndexNot measured56.1Only GPT-5.4 Mini measured
LiveCodeBench (Vals AI)Not measured81.5%Only GPT-5.4 Mini measured
SWE-bench Verified (Vals AI)Not measured73.0%Only GPT-5.4 Mini measured
Terminal-Bench 4 (Vals AI)Not measured2.5%Only GPT-5.4 Mini measured
Vibe Code Bench (Vals AI)Not measured48.0%Only GPT-5.4 Mini measured
Code migration (Vals AI)Not measured12.9%Only GPT-5.4 Mini measured
ProgramBench (Vals AI)Not measured0.0%Only GPT-5.4 Mini measured
Terminal-Bench 2.1 (Vals AI)Not measured54.7%Only GPT-5.4 Mini measured
LiveCodeBench (Artificial Analysis run)78.9%Not measuredOnly DeepSeek V3.2 Exp measured
SciCodeNot measured52.1%Only GPT-5.4 Mini measured
Terminal-Bench Hard (Artificial Analysis run)31.1%52.3%GPT-5.4 Mini
FrontierCodeNot measured27.0%Only GPT-5.4 Mini measured
WeirdML39.5%60.3%GPT-5.4 Mini
ALE-BenchNot measured1188.6Only GPT-5.4 Mini measured
LMArena Text: coding14381438DeepSeek V3.2 Exp
LMArena Text: software and IT14381436DeepSeek V3.2 Exp
LMArena WebDev: ReactNot measured1386Only GPT-5.4 Mini measured
LMArena WebDev: HTML12811419GPT-5.4 Mini
Neither model has a result on the other 19 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 Mini
BenchmarkDeepSeek V3.2 ExpGPT-5.4 MiniLeader
AA Intelligence Index16.624.1GPT-5.4 Mini
Epoch Capabilities Index144.9148.7GPT-5.4 Mini
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 Mini
BenchmarkDeepSeek V3.2 ExpGPT-5.4 MiniLeader
AA Agentic IndexNot measured17.9Only GPT-5.4 Mini measured
Finance Agent (Vals AI)Not measured45.4%Only GPT-5.4 Mini measured
Tax Agent Bench (Vals AI)Not measured8.8%Only GPT-5.4 Mini measured
Legal Research Bench (Vals AI)Not measured12.5%Only GPT-5.4 Mini measured
Excel Modeling Benchmark (Vals AI)Not measured45.4%Only GPT-5.4 Mini measured
τ²-Bench Telecom33.9%83.3%GPT-5.4 Mini
DeepResearch BenchNot measured36.3%Only GPT-5.4 Mini measured
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 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
Reasoning benchmarks for DeepSeek V3.2 Exp and GPT-5.4 Mini
BenchmarkDeepSeek V3.2 ExpGPT-5.4 MiniLeader
GPQA DiamondNot measured83.1%Only GPT-5.4 Mini measured
MMMU Pro (Vals AI)Not measured79.3%Only GPT-5.4 Mini measured
GPQA Diamond (Artificial Analysis run)79.7%87.5%GPT-5.4 Mini
Humanity's Last Exam (Artificial Analysis run)14.9%28.1%GPT-5.4 Mini
GPQA Diamond (Epoch AI run)Not measured86.9%Only GPT-5.4 Mini measured
ARC-AGINot measured63.7%Only GPT-5.4 Mini measured
ARC-AGI-2Not measured18.9%Only GPT-5.4 Mini measured
Chess puzzlesNot measured23.0%Only GPT-5.4 Mini measured
Mystery game puzzlesNot measured11.0%Only GPT-5.4 Mini measured
LMArena Text: hard prompts14291424DeepSeek V3.2 Exp
LMArena Text: expert14221435GPT-5.4 Mini
LMArena Text: hard prompts in English14441420DeepSeek V3.2 Exp
LMArena Vision: diagramsNot measured1266Only GPT-5.4 Mini measured
LMArena Vision: homeworkNot measured1285Only GPT-5.4 Mini measured
Kagi LLM Benchmark52.2%37.9%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 Mini
BenchmarkDeepSeek V3.2 ExpGPT-5.4 MiniLeader
AIMENot measured95.6%Only GPT-5.4 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 measured88.9%Only GPT-5.4 Mini measured
FrontierMath, tiers 1 to 3Not measured51.2%Only GPT-5.4 Mini measured
FrontierMath, tier 4Not measured9.8%Only GPT-5.4 Mini measured
ProofBenchNot measured21.0%Only GPT-5.4 Mini measured
LMArena Text: math14221418DeepSeek V3.2 Exp
LMArena Text: mathematical work14331429DeepSeek 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 index31
Knowledge benchmarks for DeepSeek V3.2 Exp and GPT-5.4 Mini
BenchmarkDeepSeek V3.2 ExpGPT-5.4 MiniLeader
MMLU ProNot measured84.5%Only GPT-5.4 Mini measured
CaseLaw (Vals AI)Not measured51.7%Only GPT-5.4 Mini measured
CorpFin (Vals AI)Not measured60.9%Only GPT-5.4 Mini measured
TaxEval (Vals AI)Not measured71.2%Only GPT-5.4 Mini measured
MortgageTax (Vals AI)Not measured63.5%Only GPT-5.4 Mini measured
MMLU Pro (Artificial Analysis run)85.0%Not measuredOnly DeepSeek V3.2 Exp measured
SimpleQA VerifiedNot measured29.4%Only GPT-5.4 Mini measured
LMArena Text: science14431417DeepSeek V3.2 Exp
LMArena Text: medicine and healthcare14681395DeepSeek V3.2 Exp
LMArena Text: legal and government14191414DeepSeek V3.2 Exp
LMArena Text: business and finance14121418GPT-5.4 Mini
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 GPT-5.4 Mini
BenchmarkDeepSeek V3.2 ExpGPT-5.4 MiniLeader
Design Arena: websites1179Not measuredOnly DeepSeek V3.2 Exp measured
Design Arena: UI components1167Not 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 categories1171Not measuredOnly DeepSeek V3.2 Exp measured
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 index129
General benchmarks for DeepSeek V3.2 Exp and GPT-5.4 Mini
BenchmarkDeepSeek V3.2 ExpGPT-5.4 MiniLeader
SAGE (Vals AI)Not measured50.8%Only GPT-5.4 Mini measured
Vals Multimodal IndexNot measured54.2%Only GPT-5.4 Mini measured
IFBench54.1%73.3%GPT-5.4 Mini
Long context reasoning (AA-LCR)72.3%77.0%GPT-5.4 Mini
DTBench87.7%80.0%DeepSeek V3.2 Exp
LMCA29.1%40.8%GPT-5.4 Mini
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 Text14251412DeepSeek V3.2 Exp
LMArena Text: instruction following14011405GPT-5.4 Mini
LMArena Text: creative writing14041370DeepSeek V3.2 Exp
LMArena VisionNot measured1245Only GPT-5.4 Mini measured
LMArena Text: English14411412DeepSeek V3.2 Exp
LMArena Text: non-English14041405GPT-5.4 Mini
LMArena Text: Chinese14611446DeepSeek V3.2 Exp
LMArena Text: German14401408DeepSeek V3.2 Exp
LMArena Text: Japanese13311375GPT-5.4 Mini
LMArena Text: Korean13721370DeepSeek V3.2 Exp
LMArena Text: French14341441GPT-5.4 Mini
LMArena Text: Spanish14411405DeepSeek V3.2 Exp
LMArena Text: Russian14121417GPT-5.4 Mini
LMArena Text: Polish14351415DeepSeek V3.2 Exp
LMArena Text: multi-turn14221429GPT-5.4 Mini
LMArena Text: longer queries14181408DeepSeek V3.2 Exp
LMArena Text: writing and language14071393DeepSeek V3.2 Exp
LMArena Text: entertainment and media14071373DeepSeek V3.2 Exp
LMArena Vision: EnglishNot measured1244Only GPT-5.4 Mini measured
LMArena Vision: ChineseNot measured1286Only GPT-5.4 Mini measured
LMArena Vision: reading textNot measured1253Only GPT-5.4 Mini measured
LMArena Vision: humorNot measured1235Only GPT-5.4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only GPT-5.4 Mini measured
LMArena Vision: creative writingNot measured1222Only GPT-5.4 Mini 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 Exp and GPT-5.4 Mini
BenchmarkDeepSeek V3.2 ExpGPT-5.4 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
GPT-5.4 Mini$0.0030Fits 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 Mini$0.051Fits 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
GPT-5.4 Mini$0.195Fits in one request

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 GPT-5.4 Mini
SpecificationDeepSeek V3.2 ExpOpenAI GPT-5.4 Mini
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 29, 2025March 17, 2026
Context window164K400K
Input $/Mtok$0.27$0.75
Output $/Mtok$0.41$4.50
Coding indexNot benchmarked35.8
Independent measurements behind it15
Cost per solved taskNot computable$0.70
SourceOpenRouter listingOpenRouter listing

Questions

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

Only GPT-5.4 Mini has a coding score, 35.8 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 11.0x cheaper ($0.41 vs $4.50 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 Mini?

DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens; GPT-5.4 Mini costs $0.75 and $4.50. Cost per solved task is known for GPT-5.4 Mini only.

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

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

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

42 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 GPT-5.4 Mini's on 5. Where only one model has a result, the page says so instead of naming a winner.

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