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DeepSeek V4 Pro 0423 vs GPT-5.4 Nano

GPT-5.4 Nano leads DeepSeek V4 Pro 0423 on coding, 44.8 to 38.7 on the Vibe Coding Index, and GPT-5.4 Nano costs 2.2x less per output token ($1.25 vs $2.716 per million). Updated October 21, 2026; 62 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0423 Replace GPT-5.4 Nano
DeepSeek V4 Pro 0423DeepSeek
Coding
38.7
Overall
50.0
Output $/M
$2.716
57
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
5
vs boards won of 62 shared

DeepSeek V4 Pro 0423 or GPT-5.4 Nano: which to pick

Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423, though on 2 benchmarks against 5.

Pick DeepSeek V4 Pro 0423 for a larger context window (1.05M against 400K tokens) and work measured by AA Coding Index or LiveCodeBench (Vals AI), where it leads.

Model ADeepSeek V4 Pro 0423DeepSeek38.7/1005 independent benchmarks$0.57 per solved taskModel BGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved task
Shared results
62
DeepSeek V4 Pro 0423 only
22
GPT-5.4 Nano only
23
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 Pro 0423 38.7 from 5 benchmarks, GPT-5.4 Nano 44.8 from 2 benchmarks.
Widest category
General, 13.9 points apart on average over 20 shared benchmarks.
Widest single gap
SimpleQA Verified: DeepSeek V4 Pro 0423 47.0% against GPT-5.4 Nano 11.7%, 35.3 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0423 $2.716 against GPT-5.4 Nano $1.25 per million output tokens, 2.2x apart.
Context window
DeepSeek V4 Pro 0423 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 Pro 0423BarsGPT-5.4 NanoTies
Coding91
Intelligence20
Agentic work50
Reasoning71
Math51
Knowledge101
General191
All shared boards575
CodingLike-for-likeSix of these boards feed the Vibe Coding Index91
Coding benchmarks for DeepSeek V4 Pro 0423 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-5.4 NanoLeader
LMArena WebDev1447Not measuredOnly DeepSeek V4 Pro 0423 measured
AA Coding Index59.456.1DeepSeek V4 Pro 0423
LiveCodeBench (Vals AI)87.5%84.0%DeepSeek V4 Pro 0423
SWE-bench Verified (Vals AI)77.4%69.8%DeepSeek V4 Pro 0423
Terminal-Bench 4 (Vals AI)11.1%Not measuredOnly DeepSeek V4 Pro 0423 measured
Vibe Code Bench (Vals AI)49.9%26.1%DeepSeek V4 Pro 0423
Code migration (Vals AI)26.2%14.5%DeepSeek V4 Pro 0423
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
Terminal-Bench 2.1 (Vals AI)50.2%41.6%DeepSeek V4 Pro 0423
SkillsBench (Vals AI)51.3%Not measuredOnly DeepSeek V4 Pro 0423 measured
SciCodeNot measured47.2%Only GPT-5.4 Nano measured
Terminal-Bench Hard (Artificial Analysis run)Not measured42.4%Only GPT-5.4 Nano measured
FrontierCode17.6%Not measuredOnly DeepSeek V4 Pro 0423 measured
WeirdML48.9%49.2%GPT-5.4 Nano
ALE-Bench1006.11004.5DeepSeek V4 Pro 0423
LMArena Text: coding14701404DeepSeek V4 Pro 0423
LMArena Text: software and IT14691402DeepSeek 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 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Pro 0423 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-5.4 NanoLeader
AA Intelligence Index30.420.7DeepSeek V4 Pro 0423
Epoch Capabilities Index149.1146.0DeepSeek V4 Pro 0423
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for DeepSeek V4 Pro 0423 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-5.4 NanoLeader
AA Agentic Index26.316.0DeepSeek V4 Pro 0423
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%38.2%DeepSeek V4 Pro 0423
Tax Agent Bench (Vals AI)25.2%5.0%DeepSeek V4 Pro 0423
Legal Research Bench (Vals AI)23.1%6.3%DeepSeek V4 Pro 0423
Excel Modeling Benchmark (Vals AI)51.6%44.8%DeepSeek V4 Pro 0423
τ²-Bench TelecomNot measured76.0%Only GPT-5.4 Nano measured
Vending-Bench 2$3,285Not measuredOnly DeepSeek V4 Pro 0423 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index71
Reasoning benchmarks for DeepSeek V4 Pro 0423 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-5.4 NanoLeader
GPQA Diamond89.4%77.5%DeepSeek V4 Pro 0423
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)Not measured28.3%Only GPT-5.4 Nano measured
GPQA Diamond (Epoch AI run)90.9%78.5%DeepSeek V4 Pro 0423
ARC-AGINot measured51.5%Only GPT-5.4 Nano measured
ARC-AGI-2Not measured5.7%Only GPT-5.4 Nano measured
Chess puzzles19.0%45.0%GPT-5.4 Nano
Mystery game puzzles17.0%9.0%DeepSeek V4 Pro 0423
LMArena Text: hard prompts14611381DeepSeek V4 Pro 0423
LMArena Text: expert14631396DeepSeek V4 Pro 0423
LMArena Text: hard prompts in English14661387DeepSeek V4 Pro 0423
LMArena Vision: diagramsNot measured1210Only GPT-5.4 Nano measured
LMArena Vision: homeworkNot measured1225Only GPT-5.4 Nano measured
Kagi LLM Benchmark53.5%39.7%DeepSeek V4 Pro 0423
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for DeepSeek V4 Pro 0423 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-5.4 NanoLeader
AIMENot measured88.8%Only GPT-5.4 Nano measured
OTIS Mock AIME96.7%87.8%DeepSeek V4 Pro 0423
FrontierMath, tiers 1 to 345.3%44.9%DeepSeek V4 Pro 0423
FrontierMath, tier 42.4%12.2%GPT-5.4 Nano
ProofBench16.0%5.0%DeepSeek V4 Pro 0423
LMArena Text: math14431405DeepSeek V4 Pro 0423
LMArena Text: mathematical work14551409DeepSeek V4 Pro 0423
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index101
Knowledge benchmarks for DeepSeek V4 Pro 0423 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-5.4 NanoLeader
MMLU Pro87.3%77.2%DeepSeek V4 Pro 0423
LegalBench (Vals AI)80.3%77.9%DeepSeek V4 Pro 0423
CaseLaw (Vals AI)59.4%51.9%DeepSeek V4 Pro 0423
CorpFin (Vals AI)61.4%61.2%DeepSeek V4 Pro 0423
TaxEval (Vals AI)72.1%67.4%DeepSeek V4 Pro 0423
MortgageTax (Vals AI)Not measured59.1%Only GPT-5.4 Nano measured
MedCode (Vals AI)40.5%41.0%GPT-5.4 Nano
SimpleQA Verified47.0%11.7%DeepSeek V4 Pro 0423
LMArena Text: science14701374DeepSeek V4 Pro 0423
LMArena Text: medicine and healthcare14661369DeepSeek V4 Pro 0423
LMArena Text: legal and government14641368DeepSeek V4 Pro 0423
LMArena Text: business and finance14431366DeepSeek V4 Pro 0423
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for DeepSeek V4 Pro 0423 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-5.4 NanoLeader
Design Arena: websites1234Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: UI components1222Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: game dev1229Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: data viz1203Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: 3D1254Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: all code categories1240Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: SVG1140Not measuredOnly DeepSeek V4 Pro 0423 measured
Design Arena: ASCII art1149Not 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 index191
General benchmarks for DeepSeek V4 Pro 0423 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-5.4 NanoLeader
Public Benefits Bench (Vals AI)62.9%Not measuredOnly DeepSeek V4 Pro 0423 measured
SAGE (Vals AI)Not measured38.1%Only GPT-5.4 Nano measured
MedScribe (Vals AI)75.1%77.1%GPT-5.4 Nano
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)Not measured76.7%Only GPT-5.4 Nano measured
DTBench90.7%80.3%DeepSeek V4 Pro 0423
LMCA41.2%36.9%DeepSeek V4 Pro 0423
Surface Evolver Bench40.0%Not measuredOnly DeepSeek V4 Pro 0423 measured
CL-bench Life13.5%Not measuredOnly DeepSeek V4 Pro 0423 measured
LMArena Text14511372DeepSeek V4 Pro 0423
LMArena Text: instruction following14451362DeepSeek V4 Pro 0423
LMArena Text: creative writing14461315DeepSeek V4 Pro 0423
LMArena VisionNot measured1196Only GPT-5.4 Nano measured
LMArena Text: English14591381DeepSeek V4 Pro 0423
LMArena Text: non-English14391359DeepSeek V4 Pro 0423
LMArena Text: Chinese14811391DeepSeek V4 Pro 0423
LMArena Text: German14581368DeepSeek V4 Pro 0423
LMArena Text: Japanese14461343DeepSeek V4 Pro 0423
LMArena Text: Korean14091321DeepSeek V4 Pro 0423
LMArena Text: French14731395DeepSeek V4 Pro 0423
LMArena Text: Spanish14571371DeepSeek V4 Pro 0423
LMArena Text: Russian14531363DeepSeek V4 Pro 0423
LMArena Text: Polish14611366DeepSeek V4 Pro 0423
LMArena Text: multi-turn14681382DeepSeek V4 Pro 0423
LMArena Text: longer queries14581365DeepSeek V4 Pro 0423
LMArena Text: writing and language14471338DeepSeek V4 Pro 0423
LMArena Text: entertainment and media14311325DeepSeek V4 Pro 0423
LMArena Vision: EnglishNot measured1202Only GPT-5.4 Nano measured
LMArena Vision: ChineseNot measured1232Only GPT-5.4 Nano measured
LMArena Vision: reading textNot measured1204Only GPT-5.4 Nano measured
LMArena Vision: humorNot measured1161Only GPT-5.4 Nano measured
LMArena Vision: recognizing thingsNot measured1141Only GPT-5.4 Nano measured
LMArena Vision: creative writingNot measured1159Only GPT-5.4 Nano 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 Pro 0423 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0423GPT-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 Pro 0423$0.0026Fits in one request
GPT-5.4 Nano$0.0008Fits in one request

GPT-5.4 Nano costs less

Repository review

50K input + 3K output tokens

DeepSeek V4 Pro 0423$0.069Fits in one request
GPT-5.4 Nano$0.014Fits in one request

GPT-5.4 Nano costs less

Agent loop

200K input + 10K output tokens

DeepSeek V4 Pro 0423$0.272Fits 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 Pro 0423 and GPT-5.4 Nano
SpecificationDeepSeek V4 Pro 0423OpenAI GPT-5.4 Nano
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 24, 2026March 17, 2026
Context window1.05M400K
Input $/Mtok$1.225$0.20
Output $/Mtok$2.716$1.25
Coding index38.744.8
Independent measurements behind it52
Cost per solved task$0.57$0.14
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-5.4 Nano for coding: it scores 44.8 on the Vibe Coding Index against 38.7 for DeepSeek V4 Pro 0423, though on 2 benchmarks against 5. Pick DeepSeek V4 Pro 0423 for a larger context window (1.05M against 400K tokens) and work measured by AA Coding Index or LiveCodeBench (Vals AI), where it leads.

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

DeepSeek V4 Pro 0423 costs $1.225 per million input tokens and $2.716 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0423 costs $0.57 and GPT-5.4 Nano $0.14.

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

DeepSeek V4 Pro 0423, with 1.05M tokens against 400K.

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

62 benchmarks have a result for both models as of October 21, 2026. DeepSeek V4 Pro 0423'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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/deepseek-v4-pro-vs-gpt-5-4-nano">LLMBenchmark.ai, DeepSeek V4 Pro 0423 vs GPT-5.4 Nano</a></p>