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DeepSeek V4 Flash 0423 vs GPT-5.4

GPT-5.4 leads DeepSeek V4 Flash 0423 on the Artificial Analysis Intelligence Index, 39.0 to 24.4, and DeepSeek V4 Flash 0423 costs 53.6x less per output token ($0.28 vs $15.00 per million). Updated October 21, 2026; 47 benchmarks have a result for both.

Replace DeepSeek V4 Flash 0423 Replace GPT-5.4
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
8
GPT-5.4OpenAI
Coding
64.4
Overall
69.6
Output $/M
$15.00
39
vs boards won of 47 shared

DeepSeek V4 Flash 0423 or GPT-5.4: which to pick

Only GPT-5.4 has a coding score, 64.4 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding.

Pick DeepSeek V4 Flash 0423 for output tokens 53.6x cheaper ($0.28 vs $15.00 per million) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.

Model ADeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-5.4OpenAI64.4/1003 independent benchmarks$1.02 per solved task
Shared results
47
DeepSeek V4 Flash 0423 only
2
GPT-5.4 only
63
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-5.4 64.4 from 3 benchmarks.
Widest category
Coding, 18.4 points apart on average over 8 shared benchmarks.
Widest single gap
WeirdML: DeepSeek V4 Flash 0423 45.6% against GPT-5.4 77.7%, 32.1 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash 0423 $0.28 against GPT-5.4 $15.00 per million output tokens, 53.6x apart.
Context window
DeepSeek V4 Flash 0423 takes 1.05M tokens, GPT-5.4 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-5.4Ties
Coding35
Intelligence02
Reasoning04
Math02
Knowledge04
Web design53
General019
All shared boards839
CodingLike-for-likeSix of these boards feed the Vibe Coding Index35
Coding benchmarks for DeepSeek V4 Flash 0423 and GPT-5.4
BenchmarkDeepSeek V4 Flash 0423GPT-5.4Leader
LMArena WebDev15821464DeepSeek V4 Flash 0423
AA Coding Index52.071.1GPT-5.4
LiveCodeBench (Vals AI)Not measured84.1%Only GPT-5.4 measured
SWE-bench Verified (Vals AI)Not measured78.2%Only GPT-5.4 measured
Vibe Code Bench (Vals AI)Not measured67.4%Only GPT-5.4 measured
Code migration (Vals AI)Not measured35.0%Only GPT-5.4 measured
ProgramBench (Vals AI)Not measured0.5%Only GPT-5.4 measured
SkillsBench (Vals AI)Not measured51.7%Only GPT-5.4 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured57.6%Only GPT-5.4 measured
Terminal-BenchNot measured81.8%Only GPT-5.4 measured
GSO-BenchNot measured31.4%Only GPT-5.4 measured
WeirdML45.6%77.7%GPT-5.4
MirrorCodeNot measured15.6%Only GPT-5.4 measured
ALE-Bench678.21607.0GPT-5.4
LMArena Text: coding14571496GPT-5.4
LMArena Text: software and IT14531491GPT-5.4
LMArena WebDev: React15851454DeepSeek V4 Flash 0423
LMArena WebDev: HTML15581478DeepSeek V4 Flash 0423
LMArena WebDev: from an imageNot measured1436Only GPT-5.4 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for DeepSeek V4 Flash 0423 and GPT-5.4
BenchmarkDeepSeek V4 Flash 0423GPT-5.4Leader
AA Intelligence Index24.439.0GPT-5.4
Epoch Capabilities Index146.1157.3GPT-5.4
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for DeepSeek V4 Flash 0423 and GPT-5.4
BenchmarkDeepSeek V4 Flash 0423GPT-5.4Leader
AA Agentic Index26.3Not measuredOnly DeepSeek V4 Flash 0423 measured
Design Arena: agents building web appsNot measured1059Only GPT-5.4 measured
Design Arena: agents building full-stack appsNot measured1017Only GPT-5.4 measured
Design Arena: agents building mobile appsNot measured1087Only GPT-5.4 measured
Design Arena: agents building Android appsNot measured1030Only GPT-5.4 measured
Design Arena: agents building Godot gamesNot measured1135Only GPT-5.4 measured
τ²-Bench TelecomNot measured87.1%Only GPT-5.4 measured
APEX-AgentsNot measured52.4%Only GPT-5.4 measured
METR time horizonsNot measured74.3%Only GPT-5.4 measured
DeepResearch BenchNot measured35.1%Only GPT-5.4 measured
PostTrainBenchNot measured19.0%Only GPT-5.4 measured
Vending-Bench 2Not measured$6,144Only GPT-5.4 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for DeepSeek V4 Flash 0423 and GPT-5.4
BenchmarkDeepSeek V4 Flash 0423GPT-5.4Leader
GPQA DiamondNot measured91.7%Only GPT-5.4 measured
MMMU Pro (Vals AI)Not measured87.5%Only GPT-5.4 measured
GPQA Diamond (Artificial Analysis run)Not measured92.0%Only GPT-5.4 measured
Humanity's Last Exam (Artificial Analysis run)Not measured43.7%Only GPT-5.4 measured
GPQA Diamond (Epoch AI run)Not measured93.3%Only GPT-5.4 measured
ARC-AGINot measured93.7%Only GPT-5.4 measured
ARC-AGI-2Not measured74.0%Only GPT-5.4 measured
SimpleBench46.3%Not measuredOnly DeepSeek V4 Flash 0423 measured
Chess puzzlesNot measured48.0%Only GPT-5.4 measured
Mystery game puzzlesNot measured37.0%Only GPT-5.4 measured
EBR-benchNot measured25.4%Only GPT-5.4 measured
LMArena Text: hard prompts14441485GPT-5.4
LMArena Text: expert14411507GPT-5.4
LMArena Text: hard prompts in English14491479GPT-5.4
LMArena Vision: diagramsNot measured1327Only GPT-5.4 measured
LMArena Vision: homeworkNot measured1336Only GPT-5.4 measured
Kagi LLM Benchmark52.2%63.8%GPT-5.4
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for DeepSeek V4 Flash 0423 and GPT-5.4
BenchmarkDeepSeek V4 Flash 0423GPT-5.4Leader
AIMENot measured96.7%Only GPT-5.4 measured
OTIS Mock AIMENot measured97.8%Only GPT-5.4 measured
FrontierMath, tiers 1 to 3Not measured78.6%Only GPT-5.4 measured
FrontierMath, tier 4Not measured49.0%Only GPT-5.4 measured
ProofBenchNot measured56.0%Only GPT-5.4 measured
LMArena Text: math14261488GPT-5.4
LMArena Text: mathematical work14321497GPT-5.4
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for DeepSeek V4 Flash 0423 and GPT-5.4
BenchmarkDeepSeek V4 Flash 0423GPT-5.4Leader
MMLU ProNot measured87.5%Only GPT-5.4 measured
LegalBench (Vals AI)Not measured86.0%Only GPT-5.4 measured
CaseLaw (Vals AI)Not measured63.8%Only GPT-5.4 measured
CorpFin (Vals AI)Not measured65.3%Only GPT-5.4 measured
TaxEval (Vals AI)Not measured74.0%Only GPT-5.4 measured
MortgageTax (Vals AI)Not measured68.3%Only GPT-5.4 measured
MedQA (Vals AI)Not measured96.1%Only GPT-5.4 measured
MedCode (Vals AI)Not measured41.3%Only GPT-5.4 measured
SimpleQA VerifiedNot measured45.1%Only GPT-5.4 measured
LMArena Text: science14461479GPT-5.4
LMArena Text: medicine and healthcare14481458GPT-5.4
LMArena Text: legal and government14391486GPT-5.4
LMArena Text: business and finance14251474GPT-5.4
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index53
Web design benchmarks for DeepSeek V4 Flash 0423 and GPT-5.4
BenchmarkDeepSeek V4 Flash 0423GPT-5.4Leader
Design Arena: websites12081199DeepSeek V4 Flash 0423
Design Arena: UI components11651215GPT-5.4
Design Arena: game dev11971195DeepSeek V4 Flash 0423
Design Arena: data viz11271196GPT-5.4
Design Arena: 3D11891066DeepSeek V4 Flash 0423
Design Arena: all code categories12051180DeepSeek V4 Flash 0423
Design Arena: SVG11551142DeepSeek V4 Flash 0423
Design Arena: ASCII art11091188GPT-5.4
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for DeepSeek V4 Flash 0423 and GPT-5.4
BenchmarkDeepSeek V4 Flash 0423GPT-5.4Leader
SAGE (Vals AI)Not measured43.3%Only GPT-5.4 measured
MedScribe (Vals AI)Not measured77.5%Only GPT-5.4 measured
IFBenchNot measured73.9%Only GPT-5.4 measured
Long context reasoning (AA-LCR)Not measured82.0%Only GPT-5.4 measured
DTBench86.4%94.4%GPT-5.4
LMCA35.9%52.0%GPT-5.4
CL-benchNot measured27.9%Only GPT-5.4 measured
Furniture assemblyNot measured37.5%Only GPT-5.4 measured
CL-bench LifeNot measured21.7%Only GPT-5.4 measured
LMArena Text14321469GPT-5.4
LMArena Text: instruction following14211469GPT-5.4
LMArena Text: creative writing14031439GPT-5.4
LMArena VisionNot measured1303Only GPT-5.4 measured
LMArena Text: English14411467GPT-5.4
LMArena Text: non-English14191465GPT-5.4
LMArena Text: Chinese14631520GPT-5.4
LMArena Text: German14191472GPT-5.4
LMArena Text: Japanese13891485GPT-5.4
LMArena Text: Korean13831449GPT-5.4
LMArena Text: French14391493GPT-5.4
LMArena Text: Spanish14361452GPT-5.4
LMArena Text: Russian14271480GPT-5.4
LMArena Text: Polish14361472GPT-5.4
LMArena Text: multi-turn14491482GPT-5.4
LMArena Text: longer queries14341473GPT-5.4
LMArena Text: writing and language14101458GPT-5.4
LMArena Text: entertainment and media14001438GPT-5.4
LMArena Vision: EnglishNot measured1301Only GPT-5.4 measured
LMArena Vision: ChineseNot measured1354Only GPT-5.4 measured
LMArena Vision: reading textNot measured1312Only GPT-5.4 measured
LMArena Vision: humorNot measured1284Only GPT-5.4 measured
LMArena Vision: recognizing thingsNot measured1251Only GPT-5.4 measured
LMArena Vision: creative writingNot measured1283Only GPT-5.4 measured
LMArena DocumentNot measured1471Only GPT-5.4 measured
Neither model has a result on the other 12 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-5.4
BenchmarkDeepSeek V4 Flash 0423GPT-5.4Leader
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-5.4$0.010Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Flash 0423$0.0073Fits in one request
GPT-5.4$0.170Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Flash 0423$0.029Fits in one request
GPT-5.4$0.650Fits in one request

DeepSeek V4 Flash 0423 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-5.4
SpecificationDeepSeek V4 Flash 0423OpenAI GPT-5.4
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026March 5, 2026
Context window1.05M1.05M
Input $/Mtok$0.13$2.50
Output $/Mtok$0.28$15.00
Coding indexNot benchmarked64.4
Independent measurements behind it13
Cost per solved taskNot computable$1.02
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash 0423 better than GPT-5.4 for coding?

Only GPT-5.4 has a coding score, 64.4 on the Vibe Coding Index; DeepSeek V4 Flash 0423 has none, so the two cannot be ranked on coding. Pick DeepSeek V4 Flash 0423 for output tokens 53.6x cheaper ($0.28 vs $15.00 per million) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.

Which is cheaper, DeepSeek V4 Flash 0423 or GPT-5.4?

DeepSeek V4 Flash 0423 costs $0.13 per million input tokens and $0.28 per million output tokens; GPT-5.4 costs $2.50 and $15.00. Cost per solved task is known for GPT-5.4 only.

Which has the bigger context window, DeepSeek V4 Flash 0423 or GPT-5.4?

GPT-5.4, with 1.05M tokens against 1.05M.

How many benchmarks is the DeepSeek V4 Flash 0423 vs GPT-5.4 comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Flash 0423's coding index rests on 1 independent benchmark and GPT-5.4's on 3. Where only one model has a result, the page says so instead of naming a winner.

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