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DeepSeek V3.2 Exp vs GPT-4.1 Mini

DeepSeek V3.2 Exp leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 16.6 to 10.2, and DeepSeek V3.2 Exp costs 3.9x less per output token ($0.41 vs $1.60 per million). Updated October 21, 2026; 53 benchmarks have a result for both.

Replace DeepSeek V3.2 Exp Replace GPT-4.1 Mini
DeepSeek V3.2 ExpDeepSeek
Coding
No data
Overall
No data
Output $/M
$0.41
52
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
1
vs boards won of 53 shared

DeepSeek V3.2 Exp or GPT-4.1 Mini: 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 3.9x cheaper ($0.41 vs $1.60 per million) and work measured by τ²-Bench Telecom, where it leads.

Model ADeepSeek V3.2 ExpDeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved task
Shared results
53
DeepSeek V3.2 Exp only
6
GPT-4.1 Mini only
33
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 Mini not benchmarked.
Widest category
Math, 27.6 points apart on average over 4 shared benchmarks.
Widest single gap
Aider polyglot: DeepSeek V3.2 Exp 74.2% against GPT-4.1 Mini 32.4%, 41.8 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 Exp $0.41 against GPT-4.1 Mini $1.60 per million output tokens, 3.9x apart.
Context window
DeepSeek V3.2 Exp takes 164K tokens, GPT-4.1 Mini 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-4.1 MiniTies
Coding60
Intelligence20
Agentic work11
Reasoning60
Math40
Knowledge50
Web design60
General220
All shared boards521
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for DeepSeek V3.2 Exp and GPT-4.1 Mini
BenchmarkDeepSeek V3.2 ExpGPT-4.1 MiniLeader
Aider polyglot74.2%32.4%DeepSeek V3.2 Exp
SWE-bench VerifiedNot measured23.9%Only GPT-4.1 Mini measured
LMArena WebDev1272Not measuredOnly DeepSeek V3.2 Exp measured
AA Coding IndexNot measured20.2Only GPT-4.1 Mini measured
LiveCodeBench (Vals AI)Not measured58.2%Only GPT-4.1 Mini measured
LiveCodeBench (Artificial Analysis run)78.9%48.3%DeepSeek V3.2 Exp
Terminal-Bench Hard (Artificial Analysis run)31.1%7.6%DeepSeek V3.2 Exp
WeirdML39.5%37.6%DeepSeek V3.2 Exp
LMArena Text: coding14381367DeepSeek V3.2 Exp
LMArena Text: software and IT14381360DeepSeek V3.2 Exp
LMArena WebDev: HTML1281Not measuredOnly DeepSeek V3.2 Exp measured
Neither model has a result on the other 28 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 Mini
BenchmarkDeepSeek V3.2 ExpGPT-4.1 MiniLeader
AA Intelligence Index16.610.2DeepSeek V3.2 Exp
Epoch Capabilities Index144.9134.9DeepSeek 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 Mini
BenchmarkDeepSeek V3.2 ExpGPT-4.1 MiniLeader
τ²-Bench Telecom33.9%52.9%GPT-4.1 Mini
TheAgentCompany42.9%Not measuredOnly DeepSeek V3.2 Exp measured
Berkeley Function Calling Leaderboard (BFCL)56.7%50.4%DeepSeek V3.2 Exp
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for DeepSeek V3.2 Exp and GPT-4.1 Mini
BenchmarkDeepSeek V3.2 ExpGPT-4.1 MiniLeader
GPQA DiamondNot measured67.9%Only GPT-4.1 Mini measured
MMMU Pro (Vals AI)Not measured70.5%Only GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)79.7%66.4%DeepSeek V3.2 Exp
Humanity's Last Exam (Artificial Analysis run)14.9%5.0%DeepSeek V3.2 Exp
GPQA Diamond (Epoch AI run)Not measured65.8%Only GPT-4.1 Mini measured
ARC-AGINot measured3.5%Only GPT-4.1 Mini measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Mini measured
Chess puzzlesNot measured1.0%Only GPT-4.1 Mini measured
Mystery game puzzlesNot measured7.0%Only GPT-4.1 Mini measured
LMArena Text: hard prompts14291349DeepSeek V3.2 Exp
LMArena Text: expert14221338DeepSeek V3.2 Exp
LMArena Text: hard prompts in English14441362DeepSeek V3.2 Exp
LMArena Vision: diagramsNot measured1182Only GPT-4.1 Mini measured
LMArena Vision: homeworkNot measured1214Only GPT-4.1 Mini measured
Kagi LLM Benchmark52.2%48.6%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 index40
Math benchmarks for DeepSeek V3.2 Exp and GPT-4.1 Mini
BenchmarkDeepSeek V3.2 ExpGPT-4.1 MiniLeader
AIMENot measured49.4%Only GPT-4.1 Mini measured
MATH 500 (Vals AI)Not measured88.0%Only GPT-4.1 Mini measured
MGSM (Vals AI)Not measured87.8%Only GPT-4.1 Mini measured
AA Math Index87.746.3DeepSeek V3.2 Exp
AIME 2025 (Artificial Analysis run)87.7%46.3%DeepSeek V3.2 Exp
OTIS Mock AIMENot measured44.7%Only GPT-4.1 Mini measured
FrontierMath, tiers 1 to 3Not measured6.7%Only GPT-4.1 Mini measured
MATH level 5Not measured87.3%Only GPT-4.1 Mini measured
LMArena Text: math14221343DeepSeek V3.2 Exp
LMArena Text: mathematical work14331347DeepSeek 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 Mini
BenchmarkDeepSeek V3.2 ExpGPT-4.1 MiniLeader
MMLU ProNot measured77.2%Only GPT-4.1 Mini measured
LegalBench (Vals AI)Not measured78.0%Only GPT-4.1 Mini measured
CorpFin (Vals AI)Not measured57.9%Only GPT-4.1 Mini measured
TaxEval (Vals AI)Not measured71.9%Only GPT-4.1 Mini measured
MortgageTax (Vals AI)Not measured65.5%Only GPT-4.1 Mini measured
MedQA (Vals AI)Not measured84.6%Only GPT-4.1 Mini measured
MMLU Pro (Artificial Analysis run)85.0%78.1%DeepSeek V3.2 Exp
SimpleQA VerifiedNot measured12.7%Only GPT-4.1 Mini measured
LMArena Text: science14431328DeepSeek V3.2 Exp
LMArena Text: medicine and healthcare14681324DeepSeek V3.2 Exp
LMArena Text: legal and government14191343DeepSeek V3.2 Exp
LMArena Text: business and finance14121322DeepSeek V3.2 Exp
Neither model has a result on the other 6 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 Mini
BenchmarkDeepSeek V3.2 ExpGPT-4.1 MiniLeader
Design Arena: websites1179997DeepSeek V3.2 Exp
Design Arena: UI components1167961DeepSeek V3.2 Exp
Design Arena: game dev11441071DeepSeek V3.2 Exp
Design Arena: data viz11521034DeepSeek V3.2 Exp
Design Arena: 3D1148837DeepSeek V3.2 Exp
Design Arena: all code categories1171994DeepSeek V3.2 Exp
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 index220
General benchmarks for DeepSeek V3.2 Exp and GPT-4.1 Mini
BenchmarkDeepSeek V3.2 ExpGPT-4.1 MiniLeader
IFBench54.1%38.3%DeepSeek V3.2 Exp
Long context reasoning (AA-LCR)72.3%44.0%DeepSeek V3.2 Exp
DTBench87.7%68.8%DeepSeek V3.2 Exp
LMCA29.1%21.1%DeepSeek V3.2 Exp
Fiction.LiveBench83.3%44.4%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 Text14251341DeepSeek V3.2 Exp
LMArena Text: instruction following14011333DeepSeek V3.2 Exp
LMArena Text: creative writing14041299DeepSeek V3.2 Exp
LMArena VisionNot measured1181Only GPT-4.1 Mini measured
LMArena Text: English14411356DeepSeek V3.2 Exp
LMArena Text: non-English14041318DeepSeek V3.2 Exp
LMArena Text: Chinese14611329DeepSeek V3.2 Exp
LMArena Text: German14401350DeepSeek V3.2 Exp
LMArena Text: Japanese13311290DeepSeek V3.2 Exp
LMArena Text: Korean13721298DeepSeek V3.2 Exp
LMArena Text: French14341358DeepSeek V3.2 Exp
LMArena Text: Spanish14411319DeepSeek V3.2 Exp
LMArena Text: Russian14121324DeepSeek V3.2 Exp
LMArena Text: Polish14351326DeepSeek V3.2 Exp
LMArena Text: multi-turn14221354DeepSeek V3.2 Exp
LMArena Text: longer queries14181344DeepSeek V3.2 Exp
LMArena Text: writing and language14071319DeepSeek V3.2 Exp
LMArena Text: entertainment and media14071300DeepSeek V3.2 Exp
LMArena Vision: EnglishNot measured1191Only GPT-4.1 Mini measured
LMArena Vision: ChineseNot measured1186Only GPT-4.1 Mini measured
LMArena Vision: reading textNot measured1188Only GPT-4.1 Mini measured
LMArena Vision: humorNot measured1182Only GPT-4.1 Mini measured
LMArena Vision: captioningNot measured1174Only GPT-4.1 Mini measured
LMArena Vision: recognizing thingsNot measured1187Only GPT-4.1 Mini measured
LMArena Vision: creative writingNot measured1182Only GPT-4.1 Mini 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 Mini
BenchmarkDeepSeek V3.2 ExpGPT-4.1 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-4.1 Mini$0.0012Fits 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 Mini$0.025Fits 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 Mini$0.096Fits 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 Mini
SpecificationDeepSeek V3.2 ExpOpenAI GPT-4.1 Mini
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 29, 2025April 14, 2025
Context window164K1.05M
Input $/Mtok$0.27$0.40
Output $/Mtok$0.41$1.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computable$1.818
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 Exp better than GPT-4.1 Mini 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 3.9x cheaper ($0.41 vs $1.60 per million) and work measured by τ²-Bench Telecom, where it leads.

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

DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens; GPT-4.1 Mini costs $0.40 and $1.60. Cost per solved task is known for GPT-4.1 Mini only.

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

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

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

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

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