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DeepSeek V3.2 Exp vs GPT-4.1 Nano

DeepSeek V3.2 Exp leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 16.6 to 7.8, at about the same output price ($0.41 vs $0.40 per million). Updated October 22, 2026; 49 benchmarks have a result for both.

Replace DeepSeek V3.2 Exp Replace GPT-4.1 Nano
DeepSeek V3.2 ExpDeepSeek
Coding
No data
Overall
No data
Output $/M
$0.41
49
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
vs boards won of 49 shared

DeepSeek V3.2 Exp or GPT-4.1 Nano: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model ADeepSeek V3.2 ExpDeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
49
DeepSeek V3.2 Exp only
10
GPT-4.1 Nano only
22
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 Nano not benchmarked.
Widest category
Math, 44.6 points apart on average over 4 shared benchmarks.
Widest single gap
Aider polyglot: DeepSeek V3.2 Exp 74.2% against GPT-4.1 Nano 8.9%, 65.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V3.2 Exp $0.41 against GPT-4.1 Nano $0.40 per million output tokens, 1.0x apart.
Context window
DeepSeek V3.2 Exp takes 164K tokens, GPT-4.1 Nano 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 NanoTies
Coding60
Intelligence20
Agentic work20
Reasoning60
Math40
Knowledge50
Web design60
General180
All shared boards490
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for DeepSeek V3.2 Exp and GPT-4.1 Nano
BenchmarkDeepSeek V3.2 ExpGPT-4.1 NanoLeader
Aider polyglot74.2%8.9%DeepSeek V3.2 Exp
LMArena WebDev1272Not measuredOnly DeepSeek V3.2 Exp measured
AA Coding IndexNot measured11.1Only GPT-4.1 Nano measured
LiveCodeBench (Vals AI)Not measured42.7%Only GPT-4.1 Nano measured
LiveCodeBench (Artificial Analysis run)78.9%32.6%DeepSeek V3.2 Exp
Terminal-Bench Hard (Artificial Analysis run)31.1%3.8%DeepSeek V3.2 Exp
WeirdML39.5%19.0%DeepSeek V3.2 Exp
LMArena Text: coding14381306DeepSeek V3.2 Exp
LMArena Text: software and IT14381305DeepSeek V3.2 Exp
LMArena WebDev: HTML1281Not measuredOnly DeepSeek V3.2 Exp measured
Neither model has a result on the other 29 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 Nano
BenchmarkDeepSeek V3.2 ExpGPT-4.1 NanoLeader
AA Intelligence Index16.67.8DeepSeek V3.2 Exp
Epoch Capabilities Index144.9129.5DeepSeek V3.2 Exp
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for DeepSeek V3.2 Exp and GPT-4.1 Nano
BenchmarkDeepSeek V3.2 ExpGPT-4.1 NanoLeader
τ²-Bench Telecom33.9%17.3%DeepSeek V3.2 Exp
TheAgentCompany42.9%Not measuredOnly DeepSeek V3.2 Exp measured
Berkeley Function Calling Leaderboard (BFCL)56.7%33.1%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 Nano
BenchmarkDeepSeek V3.2 ExpGPT-4.1 NanoLeader
GPQA DiamondNot measured50.8%Only GPT-4.1 Nano measured
MMMU Pro (Vals AI)Not measured55.0%Only GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)79.7%51.2%DeepSeek V3.2 Exp
Humanity's Last Exam (Artificial Analysis run)14.9%3.8%DeepSeek V3.2 Exp
GPQA Diamond (Epoch AI run)Not measured48.9%Only GPT-4.1 Nano measured
ARC-AGINot measured0.0%Only GPT-4.1 Nano measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Nano measured
Chess puzzlesNot measured0.0%Only GPT-4.1 Nano measured
LMArena Text: hard prompts14291286DeepSeek V3.2 Exp
LMArena Text: expert14221271DeepSeek V3.2 Exp
LMArena Text: hard prompts in English14441293DeepSeek V3.2 Exp
Kagi LLM Benchmark52.2%33.3%DeepSeek V3.2 Exp
Neither model has a result on the other 10 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 Nano
BenchmarkDeepSeek V3.2 ExpGPT-4.1 NanoLeader
AIMENot measured26.5%Only GPT-4.1 Nano measured
MATH 500 (Vals AI)Not measured80.2%Only GPT-4.1 Nano measured
MGSM (Vals AI)Not measured69.3%Only GPT-4.1 Nano measured
AA Math Index87.724.0DeepSeek V3.2 Exp
AIME 2025 (Artificial Analysis run)87.7%24.0%DeepSeek V3.2 Exp
OTIS Mock AIMENot measured28.9%Only GPT-4.1 Nano measured
MATH level 5Not measured70.0%Only GPT-4.1 Nano measured
LMArena Text: math14221274DeepSeek V3.2 Exp
LMArena Text: mathematical work14331274DeepSeek 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 index50
Knowledge benchmarks for DeepSeek V3.2 Exp and GPT-4.1 Nano
BenchmarkDeepSeek V3.2 ExpGPT-4.1 NanoLeader
MMLU ProNot measured63.5%Only GPT-4.1 Nano measured
LegalBench (Vals AI)Not measured61.1%Only GPT-4.1 Nano measured
CorpFin (Vals AI)Not measured42.1%Only GPT-4.1 Nano measured
TaxEval (Vals AI)Not measured60.8%Only GPT-4.1 Nano measured
MortgageTax (Vals AI)Not measured52.8%Only GPT-4.1 Nano measured
MedQA (Vals AI)Not measured68.2%Only GPT-4.1 Nano measured
MMLU Pro (Artificial Analysis run)85.0%65.7%DeepSeek V3.2 Exp
SimpleQA VerifiedNot measured6.0%Only GPT-4.1 Nano measured
LMArena Text: science14431297DeepSeek V3.2 Exp
LMArena Text: medicine and healthcare14681276DeepSeek V3.2 Exp
LMArena Text: legal and government14191300DeepSeek V3.2 Exp
LMArena Text: business and finance14121267DeepSeek 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 Nano
BenchmarkDeepSeek V3.2 ExpGPT-4.1 NanoLeader
Design Arena: websites1178972DeepSeek V3.2 Exp
Design Arena: UI components1164913DeepSeek V3.2 Exp
Design Arena: game dev1144970DeepSeek V3.2 Exp
Design Arena: data viz1152891DeepSeek V3.2 Exp
Design Arena: 3D1148924DeepSeek V3.2 Exp
Design Arena: all code categories1170962DeepSeek 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 index180
General benchmarks for DeepSeek V3.2 Exp and GPT-4.1 Nano
BenchmarkDeepSeek V3.2 ExpGPT-4.1 NanoLeader
IFBench54.1%32.0%DeepSeek V3.2 Exp
Long context reasoning (AA-LCR)72.3%20.3%DeepSeek V3.2 Exp
DTBench87.7%52.5%DeepSeek V3.2 Exp
LMCA29.1%5.5%DeepSeek V3.2 Exp
Fiction.LiveBench83.3%25.0%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 Text14251285DeepSeek V3.2 Exp
LMArena Text: instruction following14011266DeepSeek V3.2 Exp
LMArena Text: creative writing14041260DeepSeek V3.2 Exp
LMArena VisionNot measured1063Only GPT-4.1 Nano measured
LMArena Text: English14411303DeepSeek V3.2 Exp
LMArena Text: non-English14041260DeepSeek V3.2 Exp
LMArena Text: Chinese14611270DeepSeek V3.2 Exp
LMArena Text: German14401288DeepSeek V3.2 Exp
LMArena Text: Japanese13311198DeepSeek V3.2 Exp
LMArena Text: Korean1372Not measuredOnly DeepSeek V3.2 Exp measured
LMArena Text: French1434Not measuredOnly DeepSeek V3.2 Exp measured
LMArena Text: Spanish1441Not measuredOnly DeepSeek V3.2 Exp measured
LMArena Text: Russian14121261DeepSeek V3.2 Exp
LMArena Text: Polish1435Not measuredOnly DeepSeek V3.2 Exp measured
LMArena Text: multi-turn14221277DeepSeek V3.2 Exp
LMArena Text: longer queries14181283DeepSeek V3.2 Exp
LMArena Text: writing and language14071261DeepSeek V3.2 Exp
LMArena Text: entertainment and media14071243DeepSeek V3.2 Exp
LMArena Vision: EnglishNot measured1101Only GPT-4.1 Nano measured
Neither model has a result on the other 20 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 Nano
BenchmarkDeepSeek V3.2 ExpGPT-4.1 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-4.1 Nano$0.0003Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

DeepSeek V3.2 Exp$0.015Fits in one request
GPT-4.1 Nano$0.0062Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

DeepSeek V3.2 Exp$0.058Exceeds the context window
GPT-4.1 Nano$0.024Fits in one request

GPT-4.1 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-4.1 Nano
SpecificationDeepSeek V3.2 ExpOpenAI GPT-4.1 Nano
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 29, 2025April 14, 2025
Context window164K1.05M
Input $/Mtok$0.27$0.10
Output $/Mtok$0.41$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V3.2 Exp better than GPT-4.1 Nano for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

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

DeepSeek V3.2 Exp costs $0.27 per million input tokens and $0.41 per million output tokens; GPT-4.1 Nano costs $0.10 and $0.40. Cost per solved task is known for neither of them.

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

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

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

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

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