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DeepSeek V4 Flash 0423 vs GPT-4.1 Nano

DeepSeek V4 Flash 0423 leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 24.4 to 7.8, and DeepSeek V4 Flash 0423 costs 1.4x less per output token ($0.28 vs $0.40 per million). Updated October 22, 2026; 37 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace GPT-4.1 Nano
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
37
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
vs boards won of 37 shared

DeepSeek V4 Flash 0423 or GPT-4.1 Nano: which to pick

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

Pick DeepSeek V4 Flash 0423 for output tokens 1.4x cheaper ($0.28 vs $0.40 per million) and a larger context window (1.05M against 1.05M tokens).

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
37
DeepSeek V4 Flash 0423 only
12
GPT-4.1 Nano only
34
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 V4 Flash 0423 not benchmarked, GPT-4.1 Nano not benchmarked.
Widest category
Web design, 30.3 points apart on average over 6 shared benchmarks.
Widest single gap
AA Coding Index: DeepSeek V4 Flash 0423 52.0 against GPT-4.1 Nano 11.1, 40.9 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against GPT-4.1 Nano $0.40 per million output tokens, 1.4x apart.
Context window
DeepSeek V4 Flash 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 Flash 0423BarsGPT-4.1 NanoTies
Coding40
Intelligence20
Reasoning40
Math20
Knowledge40
Web design60
General150
All shared boards370
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for DeepSeek V4 Flash 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Flash 0423GPT-4.1 NanoLeader
Aider polyglotNot measured8.9%Only GPT-4.1 Nano measured
LMArena WebDev1582Not measuredOnly DeepSeek V4 Flash 0423 measured
AA Coding Index52.011.1DeepSeek V4 Flash 0423
LiveCodeBench (Vals AI)Not measured42.7%Only GPT-4.1 Nano 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
WeirdML45.6%19.0%DeepSeek V4 Flash 0423
ALE-Bench678.2Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: coding14571306DeepSeek V4 Flash 0423
LMArena Text: software and IT14531305DeepSeek V4 Flash 0423
LMArena WebDev: React1585Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena WebDev: HTML1558Not measuredOnly DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Flash 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Flash 0423GPT-4.1 NanoLeader
AA Intelligence Index24.47.8DeepSeek V4 Flash 0423
Epoch Capabilities Index146.1129.5DeepSeek V4 Flash 0423
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Flash 0423GPT-4.1 NanoLeader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
τ²-Bench TelecomNot measured17.3%Only GPT-4.1 Nano measured
Berkeley Function Calling Leaderboard (BFCL)Not measured33.1%Only GPT-4.1 Nano measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for DeepSeek V4 Flash 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Flash 0423GPT-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)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)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
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
Chess puzzlesNot measured0.0%Only GPT-4.1 Nano measured
LMArena Text: hard prompts14441286DeepSeek V4 Flash 0423
LMArena Text: expert14411271DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English14491293DeepSeek V4 Flash 0423
Kagi LLM Benchmark52.2%33.3%DeepSeek V4 Flash 0423
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for DeepSeek V4 Flash 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Flash 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 AIMENot measured28.9%Only GPT-4.1 Nano measured
MATH level 5Not measured70.0%Only GPT-4.1 Nano measured
LMArena Text: math14261274DeepSeek V4 Flash 0423
LMArena Text: mathematical work14321274DeepSeek V4 Flash 0423
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for DeepSeek V4 Flash 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Flash 0423GPT-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)Not measured65.7%Only GPT-4.1 Nano measured
SimpleQA VerifiedNot measured6.0%Only GPT-4.1 Nano measured
LMArena Text: science14461297DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare14481276DeepSeek V4 Flash 0423
LMArena Text: legal and government14391300DeepSeek V4 Flash 0423
LMArena Text: business and finance14251267DeepSeek V4 Flash 0423
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 V4 Flash 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Flash 0423GPT-4.1 NanoLeader
Design Arena: websites1207972DeepSeek V4 Flash 0423
Design Arena: UI components1162913DeepSeek V4 Flash 0423
Design Arena: game dev1196970DeepSeek V4 Flash 0423
Design Arena: data viz1127891DeepSeek V4 Flash 0423
Design Arena: 3D1188924DeepSeek V4 Flash 0423
Design Arena: all code categories1205962DeepSeek V4 Flash 0423
Design Arena: SVG1155Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: ASCII art1109Not measuredOnly DeepSeek V4 Flash 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 Flash 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Flash 0423GPT-4.1 NanoLeader
IFBenchNot measured32.0%Only GPT-4.1 Nano measured
Long context reasoning (AA-LCR)Not measured20.3%Only GPT-4.1 Nano measured
DTBench86.4%52.5%DeepSeek V4 Flash 0423
LMCA35.9%5.5%DeepSeek V4 Flash 0423
Fiction.LiveBenchNot measured25.0%Only GPT-4.1 Nano measured
LMArena Text14321285DeepSeek V4 Flash 0423
LMArena Text: instruction following14211266DeepSeek V4 Flash 0423
LMArena Text: creative writing14031260DeepSeek V4 Flash 0423
LMArena VisionNot measured1063Only GPT-4.1 Nano measured
LMArena Text: English14411303DeepSeek V4 Flash 0423
LMArena Text: non-English14191260DeepSeek V4 Flash 0423
LMArena Text: Chinese14631270DeepSeek V4 Flash 0423
LMArena Text: German14191288DeepSeek V4 Flash 0423
LMArena Text: Japanese13891198DeepSeek V4 Flash 0423
LMArena Text: Korean1383Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: French1439Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Spanish1436Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: Russian14271261DeepSeek V4 Flash 0423
LMArena Text: Polish1436Not measuredOnly DeepSeek V4 Flash 0423 measured
LMArena Text: multi-turn14491277DeepSeek V4 Flash 0423
LMArena Text: longer queries14341283DeepSeek V4 Flash 0423
LMArena Text: writing and language14101261DeepSeek V4 Flash 0423
LMArena Text: entertainment and media14001243DeepSeek V4 Flash 0423
LMArena Vision: EnglishNot measured1101Only GPT-4.1 Nano measured
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Flash 0423 and GPT-4.1 Nano
BenchmarkDeepSeek V4 Flash 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 Flash 0423$0.0003Fits in one request
GPT-4.1 Nano$0.0003Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0078Fits 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 Flash 0423$0.031Fits 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 Flash 0423 and GPT-4.1 Nano
SpecificationDeepSeek V4 Flash 0423OpenAI GPT-4.1 Nano
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026April 14, 2025
Context window1.05M1.05M
Input $/Mtok$0.14$0.10
Output $/Mtok$0.28$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash 0423 for output tokens 1.4x cheaper ($0.28 vs $0.40 per million) and a larger context window (1.05M against 1.05M tokens).

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

DeepSeek V4 Flash 0423 costs $0.14 per million input tokens and $0.28 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 V4 Flash 0423 or GPT-4.1 Nano?

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

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

37 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Flash 0423'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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