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DeepSeek V4.1 Flash vs GPT-5.4 Nano

DeepSeek V4.1 Flash leads GPT-5.4 Nano on coding, 62.5 to 44.8 on the Vibe Coding Index, and DeepSeek V4.1 Flash costs 1.5x less per output token ($0.84 vs $1.25 per million). Updated October 22, 2026; 65 benchmarks have a result for both.

Replace DeepSeek V4.1 Flash Replace GPT-5.4 Nano
DeepSeek V4.1 FlashDeepSeek
Coding
62.5
Overall
62.4
Output $/M
$0.84
65
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
0
vs boards won of 65 shared

DeepSeek V4.1 Flash or GPT-5.4 Nano: which to pick

Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano.

GPT-5.4 Nano is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Model ADeepSeek V4.1 FlashDeepSeek62.5/1005 independent benchmarksNo cost per solved taskModel BGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved task
Shared results
65
DeepSeek V4.1 Flash only
36
GPT-5.4 Nano only
20
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 V4.1 Flash 62.5 from 5 benchmarks, GPT-5.4 Nano 44.8 from 2 benchmarks.
Widest category
Coding, 23.2 points apart on average over 7 shared benchmarks.
Widest single gap
ARC-AGI-2: DeepSeek V4.1 Flash 72.9% against GPT-5.4 Nano 5.7%, 67.2 points apart on a 0 to 100 scale.
Output price
DeepSeek V4.1 Flash $0.84 against GPT-5.4 Nano $1.25 per million output tokens, 1.5x apart.
Context window
DeepSeek V4.1 Flash takes 1.05M tokens, GPT-5.4 Nano 400K.

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 V4.1 FlashBarsGPT-5.4 NanoTies
Coding70
Intelligence20
Agentic work40
Reasoning110
Math60
Knowledge70
General280
All shared boards650
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
Coding benchmarks for DeepSeek V4.1 Flash and GPT-5.4 Nano
BenchmarkDeepSeek V4.1 FlashGPT-5.4 NanoLeader
LiveBench coding90.2%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena WebDev1618Not measuredOnly DeepSeek V4.1 Flash measured
AA Coding IndexNot measured56.1Only GPT-5.4 Nano measured
LiveCodeBench (Vals AI)Not measured84.0%Only GPT-5.4 Nano measured
SWE-bench Verified (Vals AI)Not measured69.8%Only GPT-5.4 Nano measured
Terminal-Bench 4 (Vals AI)19.7%Not measuredOnly DeepSeek V4.1 Flash measured
Vibe Code Bench (Vals AI)84.7%26.1%DeepSeek V4.1 Flash
Code migration (Vals AI)45.6%14.5%DeepSeek V4.1 Flash
ProgramBench (Vals AI)0.5%Not measuredOnly DeepSeek V4.1 Flash measured
IOI (Vals AI)40.3%Not measuredOnly DeepSeek V4.1 Flash measured
Terminal-Bench 2.1 (Vals AI)74.5%41.6%DeepSeek V4.1 Flash
SWE-bench Multimodal (Vals AI)46.5%Not measuredOnly DeepSeek V4.1 Flash measured
Vibe Code Bench 1-100 (Vals AI)16.4%Not measuredOnly DeepSeek V4.1 Flash measured
SkillsBench (Vals AI)69.8%Not measuredOnly DeepSeek V4.1 Flash measured
CyberBench (Vals AI)73.7%Not measuredOnly DeepSeek V4.1 Flash measured
SciCode51.9%47.2%DeepSeek V4.1 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured42.4%Only GPT-5.4 Nano measured
FrontierCode43.9%Not measuredOnly DeepSeek V4.1 Flash measured
WeirdMLNot measured49.2%Only GPT-5.4 Nano measured
ALE-Bench1092.31004.5DeepSeek V4.1 Flash
LMArena Text: coding15021404DeepSeek V4.1 Flash
LMArena Text: software and IT14961402DeepSeek V4.1 Flash
LMArena WebDev: React1628Not measuredOnly DeepSeek V4.1 Flash measured
LMArena WebDev: HTML1612Not measuredOnly DeepSeek V4.1 Flash measured
LMArena WebDev: from an image1606Not measuredOnly DeepSeek V4.1 Flash measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4.1 Flash and GPT-5.4 Nano
BenchmarkDeepSeek V4.1 FlashGPT-5.4 NanoLeader
AA Intelligence Index24.720.7DeepSeek V4.1 Flash
Epoch Capabilities Index155.9146.0DeepSeek V4.1 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for DeepSeek V4.1 Flash and GPT-5.4 Nano
BenchmarkDeepSeek V4.1 FlashGPT-5.4 NanoLeader
AA Agentic IndexNot measured16.0Only GPT-5.4 Nano measured
LiveBench research86.8%Not measuredOnly DeepSeek V4.1 Flash measured
LiveBench browser84.0%Not measuredOnly DeepSeek V4.1 Flash measured
LiveBench long agentic40.1%Not measuredOnly DeepSeek V4.1 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly DeepSeek V4.1 Flash measured
Finance Agent (Vals AI)53.5%38.2%DeepSeek V4.1 Flash
Tax Agent Bench (Vals AI)26.6%5.0%DeepSeek V4.1 Flash
Legal Research Bench (Vals AI)41.4%6.3%DeepSeek V4.1 Flash
Excel Modeling Benchmark (Vals AI)57.2%44.8%DeepSeek V4.1 Flash
BioMysteryBench (Vals AI)67.8%Not measuredOnly DeepSeek V4.1 Flash measured
Terminal-Bench-Science (Vals AI)0.0%Not measuredOnly DeepSeek V4.1 Flash measured
Vals Science Index29.6%Not measuredOnly DeepSeek V4.1 Flash measured
τ²-Bench TelecomNot measured76.0%Only GPT-5.4 Nano measured
APEX-Agents39.5%Not measuredOnly DeepSeek V4.1 Flash measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
Reasoning benchmarks for DeepSeek V4.1 Flash and GPT-5.4 Nano
BenchmarkDeepSeek V4.1 FlashGPT-5.4 NanoLeader
GPQA DiamondNot measured77.5%Only GPT-5.4 Nano measured
LiveBench reasoning86.7%Not measuredOnly DeepSeek V4.1 Flash measured
MysteryMechanism (Vals AI)21.2%Not measuredOnly DeepSeek V4.1 Flash measured
MMMU Pro (Vals AI)Not measured73.6%Only GPT-5.4 Nano measured
GPQA Diamond (Artificial Analysis run)Not measured81.7%Only GPT-5.4 Nano measured
Humanity's Last Exam (Artificial Analysis run)39.2%28.3%DeepSeek V4.1 Flash
GPQA Diamond (Epoch AI run)89.8%78.5%DeepSeek V4.1 Flash
ARC-AGI94.5%51.5%DeepSeek V4.1 Flash
ARC-AGI-272.9%5.7%DeepSeek V4.1 Flash
Chess puzzles48.0%45.0%DeepSeek V4.1 Flash
Mystery game puzzles43.0%9.0%DeepSeek V4.1 Flash
LMArena Text: hard prompts14831381DeepSeek V4.1 Flash
LMArena Text: expert15011396DeepSeek V4.1 Flash
LMArena Text: hard prompts in English14881387DeepSeek V4.1 Flash
LMArena Vision: diagrams12971210DeepSeek V4.1 Flash
LMArena Vision: homework13071225DeepSeek V4.1 Flash
Kagi LLM BenchmarkNot measured39.7%Only GPT-5.4 Nano measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for DeepSeek V4.1 Flash and GPT-5.4 Nano
BenchmarkDeepSeek V4.1 FlashGPT-5.4 NanoLeader
AIMENot measured88.8%Only GPT-5.4 Nano measured
OTIS Mock AIME98.3%87.8%DeepSeek V4.1 Flash
FrontierMath, tiers 1 to 367.4%44.9%DeepSeek V4.1 Flash
FrontierMath, tier 426.8%12.2%DeepSeek V4.1 Flash
ProofBench54.0%5.0%DeepSeek V4.1 Flash
LMArena Text: math14781405DeepSeek V4.1 Flash
LMArena Text: mathematical work14851409DeepSeek V4.1 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for DeepSeek V4.1 Flash and GPT-5.4 Nano
BenchmarkDeepSeek V4.1 FlashGPT-5.4 NanoLeader
MMLU ProNot measured77.2%Only GPT-5.4 Nano measured
LegalBench (Vals AI)83.3%77.9%DeepSeek V4.1 Flash
CaseLaw (Vals AI)Not measured51.9%Only GPT-5.4 Nano measured
CorpFin (Vals AI)Not measured61.2%Only GPT-5.4 Nano measured
TaxEval (Vals AI)Not measured67.4%Only GPT-5.4 Nano measured
MortgageTax (Vals AI)Not measured59.1%Only GPT-5.4 Nano measured
MedCode (Vals AI)41.2%41.0%DeepSeek V4.1 Flash
SimpleQA Verified42.9%11.7%DeepSeek V4.1 Flash
LMArena Text: science14691374DeepSeek V4.1 Flash
LMArena Text: medicine and healthcare14841369DeepSeek V4.1 Flash
LMArena Text: legal and government14431368DeepSeek V4.1 Flash
LMArena Text: business and finance14611366DeepSeek V4.1 Flash
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for DeepSeek V4.1 Flash and GPT-5.4 Nano
BenchmarkDeepSeek V4.1 FlashGPT-5.4 NanoLeader
Design Arena: websites1308Not measuredOnly DeepSeek V4.1 Flash measured
Design Arena: UI components1312Not measuredOnly DeepSeek V4.1 Flash measured
Design Arena: game dev1330Not measuredOnly DeepSeek V4.1 Flash measured
Design Arena: data viz1291Not measuredOnly DeepSeek V4.1 Flash measured
Design Arena: 3D1355Not measuredOnly DeepSeek V4.1 Flash measured
Design Arena: all code categories1320Not measuredOnly DeepSeek V4.1 Flash measured
Design Arena: SVG1245Not measuredOnly DeepSeek V4.1 Flash measured
Design Arena: ASCII art1265Not measuredOnly DeepSeek V4.1 Flash measured
LiveBench design79.2%Not measuredOnly DeepSeek V4.1 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index280
General benchmarks for DeepSeek V4.1 Flash and GPT-5.4 Nano
BenchmarkDeepSeek V4.1 FlashGPT-5.4 NanoLeader
LiveBench data analysis79.3%Not measuredOnly DeepSeek V4.1 Flash measured
Public Benefits Bench (Vals AI)64.3%Not measuredOnly DeepSeek V4.1 Flash measured
SAGE (Vals AI)47.9%38.1%DeepSeek V4.1 Flash
MedScribe (Vals AI)85.5%77.1%DeepSeek V4.1 Flash
Vals Multimodal IndexNot measured47.6%Only GPT-5.4 Nano measured
IFBenchNot measured75.9%Only GPT-5.4 Nano measured
Long context reasoning (AA-LCR)84.0%76.7%DeepSeek V4.1 Flash
DTBench89.9%80.3%DeepSeek V4.1 Flash
LMCA47.0%36.9%DeepSeek V4.1 Flash
Surface Evolver Bench46.3%Not measuredOnly DeepSeek V4.1 Flash measured
Furniture assembly34.2%Not measuredOnly DeepSeek V4.1 Flash measured
LMArena Text14641372DeepSeek V4.1 Flash
LMArena Text: instruction following14731362DeepSeek V4.1 Flash
LMArena Text: creative writing14371315DeepSeek V4.1 Flash
LMArena Vision12781196DeepSeek V4.1 Flash
LMArena Text: English14731381DeepSeek V4.1 Flash
LMArena Text: non-English14491359DeepSeek V4.1 Flash
LMArena Text: Chinese15011391DeepSeek V4.1 Flash
LMArena Text: German14701368DeepSeek V4.1 Flash
LMArena Text: Japanese14321343DeepSeek V4.1 Flash
LMArena Text: Korean14361321DeepSeek V4.1 Flash
LMArena Text: French14651395DeepSeek V4.1 Flash
LMArena Text: Spanish14591371DeepSeek V4.1 Flash
LMArena Text: Russian14671363DeepSeek V4.1 Flash
LMArena Text: Polish14571366DeepSeek V4.1 Flash
LMArena Text: multi-turn14611382DeepSeek V4.1 Flash
LMArena Text: longer queries14731365DeepSeek V4.1 Flash
LMArena Text: writing and language14501338DeepSeek V4.1 Flash
LMArena Text: entertainment and media14451325DeepSeek V4.1 Flash
LMArena Vision: English12881202DeepSeek V4.1 Flash
LMArena Vision: Chinese13271232DeepSeek V4.1 Flash
LMArena Vision: reading text12821204DeepSeek V4.1 Flash
LMArena Vision: humor12601161DeepSeek V4.1 Flash
LMArena Vision: recognizing thingsNot measured1141Only GPT-5.4 Nano measured
LMArena Vision: creative writing12751159DeepSeek V4.1 Flash
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4.1 Flash and GPT-5.4 Nano
BenchmarkDeepSeek V4.1 FlashGPT-5.4 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 V4.1 Flash$0.0006Fits in one request
GPT-5.4 Nano$0.0008Fits in one request

DeepSeek V4.1 Flash costs less

Repository review

50K input + 3K output tokens

DeepSeek V4.1 Flash$0.014Fits in one request
GPT-5.4 Nano$0.014Fits in one request

DeepSeek V4.1 Flash costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4.1 Flash$0.053Fits in one request
GPT-5.4 Nano$0.052Fits in one request

GPT-5.4 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 V4.1 Flash and GPT-5.4 Nano
SpecificationDeepSeek V4.1 FlashOpenAI GPT-5.4 Nano
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedSeptember 10, 2026March 17, 2026
Context window1.05M400K
Input $/Mtok$0.2225$0.20
Output $/Mtok$0.84$1.25
Coding index62.544.8
Independent measurements behind it52
Cost per solved taskNot computable$0.14
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4.1 Flash better than GPT-5.4 Nano for coding?

Pick DeepSeek V4.1 Flash for coding: it scores 62.5 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano. GPT-5.4 Nano is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, DeepSeek V4.1 Flash or GPT-5.4 Nano?

DeepSeek V4.1 Flash costs $0.2225 per million input tokens and $0.84 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Cost per solved task is known for GPT-5.4 Nano only.

Which has the bigger context window, DeepSeek V4.1 Flash or GPT-5.4 Nano?

DeepSeek V4.1 Flash, with 1.05M tokens against 400K.

How many benchmarks is the DeepSeek V4.1 Flash vs GPT-5.4 Nano comparison based on?

65 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4.1 Flash's coding index rests on 5 independent benchmarks and GPT-5.4 Nano's on 2. Where only one model has a result, the page says so instead of naming a winner.

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