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DeepSeek V4 Pro 0423 vs GPT-4.1 Nano

Updated October 21, 2026. 46 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace DeepSeek V4 Pro 0423 Replace GPT-4.1 Nano
DeepSeek V4 Pro 0423DeepSeek
Coding
35.3
Overall
30.4
Output $/M
$1.9105
46
GPT-4.1 NanoOpenAI
Coding
8.9
Overall
7.8
Output $/M
$0.40
0
vs boards won of 46 shared

Decision reading

Pick DeepSeek V4 Pro 0423 for coding: it scores 35.3 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano.

Pick GPT-4.1 Nano when output tokens cost 4.8x less.

Model ADeepSeek V4 Pro 0423DeepSeek35.3/1001 independent benchmark$0.57 per solved taskModel BGPT-4.1 NanoOpenAI8.9/1001 independent benchmarkNo cost per solved task
Shared results
46
DeepSeek V4 Pro 0423 only
37
GPT-4.1 Nano only
23
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 V4 Pro 0423 35.3 from 1 benchmark, GPT-4.1 Nano 8.9 from 1 benchmark.
Widest category
Math, 42.0 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: DeepSeek V4 Pro 0423 96.7% against GPT-4.1 Nano 28.9%, 67.8 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0423 $1.9105 against GPT-4.1 Nano $0.40 per million output tokens, 4.8x apart.
Context window
DeepSeek V4 Pro 0423 takes 1.05M 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 V4 Pro 0423BarsGPT-4.1 NanoTies
Coding50
Intelligence20
Reasoning60
Math30
Knowledge90
Web design60
General150
All shared boards460
CodingLike-for-likeFour of these boards feed the Vibe Coding Index50
Coding benchmarks for DeepSeek V4 Pro 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-4.1 NanoLeader
Aider polyglotNot measured8.9%Only GPT-4.1 Nano measured
LMArena WebDev1447Not measuredOnly DeepSeek V4 Pro 0423 measured
AA Coding Index59.411.1DeepSeek V4 Pro 0423
LiveCodeBench (Vals AI)87.5%42.7%DeepSeek V4 Pro 0423
SWE-bench Verified (Vals AI)77.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
Terminal-Bench 4 (Vals AI)11.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
Vibe Code Bench (Vals AI)49.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
Code migration (Vals AI)26.2%Not measuredOnly DeepSeek V4 Pro 0423 measured
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
Terminal-Bench 2.1 (Vals AI)50.2%Not measuredOnly DeepSeek V4 Pro 0423 measured
SkillsBench (Vals AI)51.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
LiveCodeBench (Artificial Analysis run)Not measured32.6%Only GPT-4.1 Nano measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only GPT-4.1 Nano measured
FrontierCode17.6%Not measuredOnly DeepSeek V4 Pro 0423 measured
WeirdML48.9%19.0%DeepSeek V4 Pro 0423
ALE-Bench1006.1Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: coding14701306DeepSeek V4 Pro 0423
LMArena Text: software and IT14691305DeepSeek V4 Pro 0423
LMArena WebDev: React1441Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena WebDev: HTML1435Not measuredOnly DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Pro 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-4.1 NanoLeader
AA Intelligence Index30.47.8DeepSeek V4 Pro 0423
Epoch Capabilities Index149.1129.5DeepSeek V4 Pro 0423
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Agentic work benchmarks for DeepSeek V4 Pro 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-4.1 NanoLeader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building web apps1000Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building full-stack apps948Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: agents building Godot games1059Not measuredOnly DeepSeek V4 Pro 0423 measured
Finance Agent (Vals AI)44.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
Tax Agent Bench (Vals AI)25.2%Not measuredOnly DeepSeek V4 Pro 0423 measured
Legal Research Bench (Vals AI)23.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
Excel Modeling Benchmark (Vals AI)51.6%Not measuredOnly DeepSeek V4 Pro 0423 measured
τ²-Bench TelecomNot measured17.3%Only GPT-4.1 Nano measured
Vending-Bench 2$3,285Not measuredOnly DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for DeepSeek V4 Pro 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-4.1 NanoLeader
GPQA Diamond89.4%50.8%DeepSeek V4 Pro 0423
MMMU Pro (Vals AI)Not measured55.0%Only GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)Not measured51.2%Only GPT-4.1 Nano measured
Humanity's Last Exam (Artificial Analysis run)Not measured3.8%Only GPT-4.1 Nano measured
GPQA Diamond (Epoch AI run)90.9%48.9%DeepSeek V4 Pro 0423
ARC-AGINot measured0.0%Only GPT-4.1 Nano measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Nano measured
Chess puzzles19.0%0.0%DeepSeek V4 Pro 0423
Mystery game puzzles17.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: hard prompts14611286DeepSeek V4 Pro 0423
LMArena Text: expert14631271DeepSeek V4 Pro 0423
LMArena Text: hard prompts in English14661293DeepSeek V4 Pro 0423
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for DeepSeek V4 Pro 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-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 IndexNot measured24.0Only GPT-4.1 Nano measured
AIME 2025 (Artificial Analysis run)Not measured24.0%Only GPT-4.1 Nano measured
OTIS Mock AIME96.7%28.9%DeepSeek V4 Pro 0423
FrontierMath, tiers 1 to 345.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
FrontierMath, tier 42.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
ProofBench16.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
MATH level 5Not measured70.0%Only GPT-4.1 Nano measured
LMArena Text: math14431274DeepSeek V4 Pro 0423
LMArena Text: mathematical work14551274DeepSeek V4 Pro 0423
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for DeepSeek V4 Pro 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-4.1 NanoLeader
MMLU Pro87.3%63.5%DeepSeek V4 Pro 0423
LegalBench (Vals AI)80.3%61.1%DeepSeek V4 Pro 0423
CaseLaw (Vals AI)59.4%Not measuredOnly DeepSeek V4 Pro 0423 measured
CorpFin (Vals AI)61.4%42.1%DeepSeek V4 Pro 0423
TaxEval (Vals AI)72.1%60.8%DeepSeek V4 Pro 0423
MortgageTax (Vals AI)Not measured52.8%Only GPT-4.1 Nano measured
MedQA (Vals AI)Not measured68.2%Only GPT-4.1 Nano measured
MedCode (Vals AI)40.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
MMLU Pro (Artificial Analysis run)Not measured65.7%Only GPT-4.1 Nano measured
SimpleQA Verified47.0%6.0%DeepSeek V4 Pro 0423
LMArena Text: science14701297DeepSeek V4 Pro 0423
LMArena Text: medicine and healthcare14661276DeepSeek V4 Pro 0423
LMArena Text: legal and government14641300DeepSeek V4 Pro 0423
LMArena Text: business and finance14431267DeepSeek V4 Pro 0423
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 V4 Pro 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-4.1 NanoLeader
Design Arena: websites1235973DeepSeek V4 Pro 0423
Design Arena: UI components1221916DeepSeek V4 Pro 0423
Design Arena: game dev1229971DeepSeek V4 Pro 0423
Design Arena: data viz1203891DeepSeek V4 Pro 0423
Design Arena: 3D1254925DeepSeek V4 Pro 0423
Design Arena: all code categories1240963DeepSeek V4 Pro 0423
Design Arena: SVG1139Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: ASCII art1148Not measuredOnly DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for DeepSeek V4 Pro 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-4.1 NanoLeader
Public Benefits Bench (Vals AI)62.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
MedScribe (Vals AI)75.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
IFBenchNot measured32.0%Only GPT-4.1 Nano measured
Long context reasoning (AA-LCR)Not measured20.3%Only GPT-4.1 Nano measured
DTBench90.7%52.5%DeepSeek V4 Pro 0423
LMCA41.2%5.5%DeepSeek V4 Pro 0423
Fiction.LiveBenchNot measured25.0%Only GPT-4.1 Nano measured
Surface Evolver Bench40.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
CL-bench Life13.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text14511285DeepSeek V4 Pro 0423
LMArena Text: instruction following14451266DeepSeek V4 Pro 0423
LMArena Text: creative writing14461260DeepSeek V4 Pro 0423
LMArena VisionNot measured1063Only GPT-4.1 Nano measured
LMArena Text: English14591303DeepSeek V4 Pro 0423
LMArena Text: non-English14391260DeepSeek V4 Pro 0423
LMArena Text: Chinese14811270DeepSeek V4 Pro 0423
LMArena Text: German14581288DeepSeek V4 Pro 0423
LMArena Text: Japanese14461198DeepSeek V4 Pro 0423
LMArena Text: Korean1409Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: French1473Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: Spanish1457Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: Russian14531261DeepSeek V4 Pro 0423
LMArena Text: Polish1461Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text: multi-turn14681277DeepSeek V4 Pro 0423
LMArena Text: longer queries14581283DeepSeek V4 Pro 0423
LMArena Text: writing and language14471261DeepSeek V4 Pro 0423
LMArena Text: entertainment and media14311243DeepSeek V4 Pro 0423
LMArena Vision: EnglishNot measured1101Only GPT-4.1 Nano measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Pro 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-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 V4 Pro 0423$0.0019Fits 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 V4 Pro 0423$0.053Fits 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 V4 Pro 0423$0.210Fits in one request
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 V4 Pro 0423 and GPT-4.1 Nano
SpecificationDeepSeek V4 Pro 0423OpenAI GPT-4.1 Nano
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026April 14, 2025
Context window1.05M1.05M
Input $/Mtok$0.9553$0.10
Output $/Mtok$1.9105$0.40
Coding index35.38.9
Independent measurements behind it11
Cost per solved task$0.57Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0423 better than GPT-4.1 Nano for coding?

Pick DeepSeek V4 Pro 0423 for coding: it scores 35.3 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano. Pick GPT-4.1 Nano when output tokens cost 4.8x less.

Which is cheaper, DeepSeek V4 Pro 0423 or GPT-4.1 Nano?

DeepSeek V4 Pro 0423 costs $0.9553 per million input tokens and $1.9105 per million output tokens; GPT-4.1 Nano costs $0.10 and $0.40. Cost per solved task is known for DeepSeek V4 Pro 0423 only.

Which has the bigger context window, DeepSeek V4 Pro 0423 or GPT-4.1 Nano?

DeepSeek V4 Pro 0423, with 1.05M tokens against 1.05M.

How many benchmarks is the DeepSeek V4 Pro 0423 vs GPT-4.1 Nano comparison based on?

46 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Pro 0423's coding index rests on 1 independent benchmark and GPT-4.1 Nano's on 1. Where only one model has a result, the page says so instead of naming a winner.

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