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DeepSeek V3.2 Exp vs GPT-4.1

DeepSeek V3.2 Exp leads GPT-4.1 on the Artificial Analysis Intelligence Index, 16.6 to 12.7, and DeepSeek V3.2 Exp costs 19.5x less per output token ($0.41 vs $8.00 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

Replace DeepSeek V3.2 Exp Replace GPT-4.1
DeepSeek V3.2 ExpDeepSeek
Coding
No data
Overall
No data
Output $/M
$0.41
51
GPT-4.1OpenAI
Coding
No data
Overall
36.5
Output $/M
$8.00
2
vs boards won of 53 shared

DeepSeek V3.2 Exp or GPT-4.1: 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 19.5x cheaper ($0.41 vs $8.00 per million) and work measured by τ²-Bench Telecom or Kagi LLM Benchmark, where it leads.

Model ADeepSeek V3.2 ExpDeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-4.1OpenAINot benchmarkedNo coding benchmark$0.37 per solved task
Shared results
53
DeepSeek V3.2 Exp only
6
GPT-4.1 only
39
Like-for-like categories
8 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-4.1 not benchmarked.
Widest category
Math, 31.8 points apart on average over 4 shared benchmarks.
Widest single gap
AA Math Index: DeepSeek V3.2 Exp 87.7 against GPT-4.1 34.7, 53.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 Exp $0.41 against GPT-4.1 $8.00 per million output tokens, 19.5x apart.
Context window
DeepSeek V3.2 Exp takes 164K tokens, GPT-4.1 1.05M.

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-4.1Ties
Coding60
Intelligence20
Agentic work11
Reasoning51
Math40
Knowledge50
Web design60
General220
All shared boards512
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for DeepSeek V3.2 Exp and GPT-4.1
BenchmarkDeepSeek V3.2 ExpGPT-4.1Leader
Aider polyglot74.2%52.4%DeepSeek V3.2 Exp
SWE-bench VerifiedNot measured39.6%Only GPT-4.1 measured
SWE-bench MultimodalNot measured31.1%Only GPT-4.1 measured
LMArena WebDev1272Not measuredOnly DeepSeek V3.2 Exp measured
LiveCodeBench (Vals AI)Not measured54.7%Only GPT-4.1 measured
LiveCodeBench (Artificial Analysis run)78.9%45.7%DeepSeek V3.2 Exp
Terminal-Bench Hard (Artificial Analysis run)31.1%13.6%DeepSeek V3.2 Exp
WeirdML39.5%39.0%DeepSeek V3.2 Exp
ALE-BenchNot measured558.1Only GPT-4.1 measured
LMArena Text: coding14381390DeepSeek V3.2 Exp
LMArena Text: software and IT14381391DeepSeek V3.2 Exp
LMArena WebDev: HTML1281Not measuredOnly DeepSeek V3.2 Exp measured
SciCodeNot measured4.6%Only GPT-4.1 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V3.2 Exp and GPT-4.1
BenchmarkDeepSeek V3.2 ExpGPT-4.1Leader
AA Intelligence Index16.612.7DeepSeek V3.2 Exp
Epoch Capabilities Index144.9136.7DeepSeek V3.2 Exp
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for DeepSeek V3.2 Exp and GPT-4.1
BenchmarkDeepSeek V3.2 ExpGPT-4.1Leader
τ²-Bench Telecom33.9%47.1%GPT-4.1
TheAgentCompany42.9%Not measuredOnly DeepSeek V3.2 Exp measured
Berkeley Function Calling Leaderboard (BFCL)56.7%54.0%DeepSeek V3.2 Exp
BrowseComp-PlusNot measured36.4%Only GPT-4.1 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
Reasoning benchmarks for DeepSeek V3.2 Exp and GPT-4.1
BenchmarkDeepSeek V3.2 ExpGPT-4.1Leader
GPQA DiamondNot measured65.4%Only GPT-4.1 measured
MMMU Pro (Vals AI)Not measured72.4%Only GPT-4.1 measured
GPQA Diamond (Artificial Analysis run)79.7%66.6%DeepSeek V3.2 Exp
Humanity's Last Exam (Artificial Analysis run)14.9%4.2%DeepSeek V3.2 Exp
GPQA Diamond (Epoch AI run)Not measured66.9%Only GPT-4.1 measured
ARC-AGINot measured5.5%Only GPT-4.1 measured
ARC-AGI-2Not measured0.4%Only GPT-4.1 measured
SimpleBenchNot measured27.0%Only GPT-4.1 measured
Chess puzzlesNot measured3.0%Only GPT-4.1 measured
LMArena Text: hard prompts14291384DeepSeek V3.2 Exp
LMArena Text: expert14221364DeepSeek V3.2 Exp
LMArena Text: hard prompts in English14441393DeepSeek V3.2 Exp
LMArena Vision: diagramsNot measured1215Only GPT-4.1 measured
LMArena Vision: homeworkNot measured1248Only GPT-4.1 measured
Kagi LLM Benchmark52.2%52.3%GPT-4.1
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for DeepSeek V3.2 Exp and GPT-4.1
BenchmarkDeepSeek V3.2 ExpGPT-4.1Leader
AIMENot measured39.6%Only GPT-4.1 measured
MATH 500 (Vals AI)Not measured87.2%Only GPT-4.1 measured
MGSM (Vals AI)Not measured87.7%Only GPT-4.1 measured
AA Math Index87.734.7DeepSeek V3.2 Exp
AIME 2025 (Artificial Analysis run)87.7%34.7%DeepSeek V3.2 Exp
OTIS Mock AIMENot measured38.3%Only GPT-4.1 measured
FrontierMath, tiers 1 to 3Not measured6.0%Only GPT-4.1 measured
MATH level 5Not measured83.0%Only GPT-4.1 measured
LMArena Text: math14221369DeepSeek V3.2 Exp
LMArena Text: mathematical work14331360DeepSeek V3.2 Exp
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for DeepSeek V3.2 Exp and GPT-4.1
BenchmarkDeepSeek V3.2 ExpGPT-4.1Leader
MMLU ProNot measured80.5%Only GPT-4.1 measured
LegalBench (Vals AI)Not measured83.1%Only GPT-4.1 measured
CaseLaw (Vals AI)Not measured69.9%Only GPT-4.1 measured
CorpFin (Vals AI)Not measured63.0%Only GPT-4.1 measured
TaxEval (Vals AI)Not measured75.1%Only GPT-4.1 measured
MortgageTax (Vals AI)Not measured65.9%Only GPT-4.1 measured
MedQA (Vals AI)Not measured91.2%Only GPT-4.1 measured
MMLU Pro (Artificial Analysis run)85.0%80.6%DeepSeek V3.2 Exp
SimpleQA VerifiedNot measured31.1%Only GPT-4.1 measured
GeoBenchNot measured72.0%Only GPT-4.1 measured
LMArena Text: science14431382DeepSeek V3.2 Exp
LMArena Text: medicine and healthcare14681379DeepSeek V3.2 Exp
LMArena Text: legal and government14191399DeepSeek V3.2 Exp
LMArena Text: business and finance14121369DeepSeek V3.2 Exp
FACTS Benchmark SuiteNot measured45.8%Only GPT-4.1 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for DeepSeek V3.2 Exp and GPT-4.1
BenchmarkDeepSeek V3.2 ExpGPT-4.1Leader
Design Arena: websites11781038DeepSeek V3.2 Exp
Design Arena: UI components1164997DeepSeek V3.2 Exp
Design Arena: game dev11441079DeepSeek V3.2 Exp
Design Arena: data viz11521104DeepSeek V3.2 Exp
Design Arena: 3D1148849DeepSeek V3.2 Exp
Design Arena: all code categories11701025DeepSeek V3.2 Exp
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 index220
General benchmarks for DeepSeek V3.2 Exp and GPT-4.1
BenchmarkDeepSeek V3.2 ExpGPT-4.1Leader
IFBench54.1%43.0%DeepSeek V3.2 Exp
Long context reasoning (AA-LCR)72.3%68.3%DeepSeek V3.2 Exp
DTBench87.7%68.3%DeepSeek V3.2 Exp
LMCA29.1%25.6%DeepSeek V3.2 Exp
Fiction.LiveBench83.3%63.9%DeepSeek V3.2 Exp
CL-bench13.2%Not measuredOnly DeepSeek V3.2 Exp measured
CL-bench Life9.5%Not measuredOnly DeepSeek V3.2 Exp measured
LMArena Text14251383DeepSeek V3.2 Exp
LMArena Text: instruction following14011367DeepSeek V3.2 Exp
LMArena Text: creative writing14041363DeepSeek V3.2 Exp
LMArena VisionNot measured1210Only GPT-4.1 measured
LMArena Text: English14411392DeepSeek V3.2 Exp
LMArena Text: non-English14041370DeepSeek V3.2 Exp
LMArena Text: Chinese14611382DeepSeek V3.2 Exp
LMArena Text: German14401381DeepSeek V3.2 Exp
LMArena Text: Japanese13311319DeepSeek V3.2 Exp
LMArena Text: Korean13721338DeepSeek V3.2 Exp
LMArena Text: French14341382DeepSeek V3.2 Exp
LMArena Text: Spanish14411376DeepSeek V3.2 Exp
LMArena Text: Russian14121377DeepSeek V3.2 Exp
LMArena Text: Polish14351389DeepSeek V3.2 Exp
LMArena Text: multi-turn14221397DeepSeek V3.2 Exp
LMArena Text: longer queries14181385DeepSeek V3.2 Exp
LMArena Text: writing and language14071371DeepSeek V3.2 Exp
LMArena Text: entertainment and media14071365DeepSeek V3.2 Exp
LMArena Vision: EnglishNot measured1209Only GPT-4.1 measured
LMArena Vision: ChineseNot measured1226Only GPT-4.1 measured
LMArena Vision: reading textNot measured1218Only GPT-4.1 measured
LMArena Vision: humorNot measured1196Only GPT-4.1 measured
LMArena Vision: captioningNot measured1207Only GPT-4.1 measured
LMArena Vision: recognizing thingsNot measured1208Only GPT-4.1 measured
LMArena Vision: creative writingNot measured1210Only GPT-4.1 measured
Neither model has a result on the other 14 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-4.1
BenchmarkDeepSeek V3.2 ExpGPT-4.1Leader
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-4.1$0.0060Fits 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-4.1$0.124Fits 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-4.1$0.480Fits 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-4.1
SpecificationDeepSeek V3.2 ExpOpenAI GPT-4.1
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 29, 2025April 14, 2025
Context window164K1.05M
Input $/Mtok$0.27$2.00
Output $/Mtok$0.41$8.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computable$0.37
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 Exp better than GPT-4.1 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 19.5x cheaper ($0.41 vs $8.00 per million) and work measured by τ²-Bench Telecom or Kagi LLM Benchmark, where it leads.

Which is cheaper, DeepSeek V3.2 Exp or GPT-4.1?

DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens; GPT-4.1 costs $2.00 and $8.00. Cost per solved task is known for GPT-4.1 only.

Which has the bigger context window, DeepSeek V3.2 Exp or GPT-4.1?

GPT-4.1, with 1.05M tokens against 164K.

How many benchmarks is the DeepSeek V3.2 Exp vs GPT-4.1 comparison based on?

53 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-4.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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