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DeepSeek V4 Pro 0813 vs GPT-5.4 Nano

DeepSeek V4 Pro 0813 leads GPT-5.4 Nano on coding, 56.1 to 44.8 on the Vibe Coding Index, and GPT-5.4 Nano costs 1.6x less per output token ($1.25 vs $1.98 per million). Updated October 22, 2026; 63 benchmarks have a result for both.

Replace DeepSeek V4 Pro 0813 Replace GPT-5.4 Nano
DeepSeek V4 Pro 0813DeepSeek
Coding
56.1
Overall
60.8
Output $/M
$1.98
63
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
0
vs boards won of 63 shared

DeepSeek V4 Pro 0813 or GPT-5.4 Nano: which to pick

Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano.

Pick GPT-5.4 Nano for output tokens 1.6x cheaper ($1.25 vs $1.98 per million).

Model ADeepSeek V4 Pro 0813DeepSeek56.1/1005 independent benchmarks$0.10 per solved taskModel BGPT-5.4 NanoOpenAI44.8/1002 independent benchmarks$0.14 per solved task
Shared results
63
DeepSeek V4 Pro 0813 only
15
GPT-5.4 Nano only
22
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 0813 56.1 from 5 benchmarks, GPT-5.4 Nano 44.8 from 2 benchmarks.
Widest category
Agentic work, 20.4 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): DeepSeek V4 Pro 0813 82.3% against GPT-5.4 Nano 26.1%, 56.2 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Pro 0813 $1.98 against GPT-5.4 Nano $1.25 per million output tokens, 1.6x apart.
Context window
DeepSeek V4 Pro 0813 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 0813BarsGPT-5.4 NanoTies
Coding110
Intelligence20
Agentic work50
Reasoning110
Math60
Knowledge100
General180
All shared boards630
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
Coding benchmarks for DeepSeek V4 Pro 0813 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0813GPT-5.4 NanoLeader
LMArena WebDev1582Not measuredOnly DeepSeek V4 Pro 0813 measured
AA Coding Index68.856.1DeepSeek V4 Pro 0813
LiveCodeBench (Vals AI)87.5%84.0%DeepSeek V4 Pro 0813
SWE-bench Verified (Vals AI)96.4%69.8%DeepSeek V4 Pro 0813
Terminal-Bench 4 (Vals AI)14.1%Not measuredOnly DeepSeek V4 Pro 0813 measured
Vibe Code Bench (Vals AI)82.3%26.1%DeepSeek V4 Pro 0813
Code migration (Vals AI)41.5%14.5%DeepSeek V4 Pro 0813
ProgramBench (Vals AI)0.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
IOI (Vals AI)51.6%Not measuredOnly DeepSeek V4 Pro 0813 measured
Terminal-Bench 2.1 (Vals AI)54.7%41.6%DeepSeek V4 Pro 0813
Vibe Code Bench 1-100 (Vals AI)17.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
SkillsBench (Vals AI)53.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
CyberBench (Vals AI)72.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
SciCode51.0%47.2%DeepSeek V4 Pro 0813
Terminal-Bench Hard (Artificial Analysis run)Not measured42.4%Only GPT-5.4 Nano measured
FrontierCode28.5%Not measuredOnly DeepSeek V4 Pro 0813 measured
WeirdML66.2%49.2%DeepSeek V4 Pro 0813
ALE-Bench1403.21004.5DeepSeek V4 Pro 0813
LMArena Text: coding14691404DeepSeek V4 Pro 0813
LMArena Text: software and IT14621402DeepSeek V4 Pro 0813
LMArena WebDev: React1588Not measuredOnly DeepSeek V4 Pro 0813 measured
LMArena WebDev: HTML1566Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for DeepSeek V4 Pro 0813 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0813GPT-5.4 NanoLeader
AA Intelligence Index36.020.7DeepSeek V4 Pro 0813
Epoch Capabilities Index155.6146.0DeepSeek V4 Pro 0813
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for DeepSeek V4 Pro 0813 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0813GPT-5.4 NanoLeader
AA Agentic Index41.316.0DeepSeek V4 Pro 0813
SREBench (Vals AI)1.9%Not measuredOnly DeepSeek V4 Pro 0813 measured
Finance Agent (Vals AI)50.4%38.2%DeepSeek V4 Pro 0813
Tax Agent Bench (Vals AI)26.8%5.0%DeepSeek V4 Pro 0813
Legal Research Bench (Vals AI)40.9%6.3%DeepSeek V4 Pro 0813
Harvey's Legal Agent Benchmark (Vals AI)10.8%Not measuredOnly DeepSeek V4 Pro 0813 measured
Excel Modeling Benchmark (Vals AI)52.8%44.8%DeepSeek V4 Pro 0813
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
τ²-Bench TelecomNot measured76.0%Only GPT-5.4 Nano measured
APEX-Agents47.3%Not measuredOnly DeepSeek V4 Pro 0813 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
Reasoning benchmarks for DeepSeek V4 Pro 0813 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0813GPT-5.4 NanoLeader
GPQA Diamond92.4%77.5%DeepSeek V4 Pro 0813
MMMU Pro (Vals AI)Not measured73.6%Only GPT-5.4 Nano measured
GPQA Diamond (Artificial Analysis run)92.8%81.7%DeepSeek V4 Pro 0813
Humanity's Last Exam (Artificial Analysis run)41.0%28.3%DeepSeek V4 Pro 0813
GPQA Diamond (Epoch AI run)91.7%78.5%DeepSeek V4 Pro 0813
ARC-AGI90.5%51.5%DeepSeek V4 Pro 0813
ARC-AGI-261.3%5.7%DeepSeek V4 Pro 0813
Chess puzzles46.0%45.0%DeepSeek V4 Pro 0813
Mystery game puzzles43.0%9.0%DeepSeek V4 Pro 0813
LMArena Text: hard prompts14581381DeepSeek V4 Pro 0813
LMArena Text: expert14591396DeepSeek V4 Pro 0813
LMArena Text: hard prompts in English14631387DeepSeek V4 Pro 0813
LMArena Vision: diagramsNot measured1210Only GPT-5.4 Nano measured
LMArena Vision: homeworkNot measured1225Only GPT-5.4 Nano measured
Kagi LLM BenchmarkNot measured39.7%Only GPT-5.4 Nano measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for DeepSeek V4 Pro 0813 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0813GPT-5.4 NanoLeader
AIMENot measured88.8%Only GPT-5.4 Nano measured
OTIS Mock AIME98.6%87.8%DeepSeek V4 Pro 0813
FrontierMath, tiers 1 to 364.6%44.9%DeepSeek V4 Pro 0813
FrontierMath, tier 426.8%12.2%DeepSeek V4 Pro 0813
ProofBench50.0%5.0%DeepSeek V4 Pro 0813
LMArena Text: math14411405DeepSeek V4 Pro 0813
LMArena Text: mathematical work14431409DeepSeek V4 Pro 0813
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for DeepSeek V4 Pro 0813 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0813GPT-5.4 NanoLeader
MMLU Pro87.0%77.2%DeepSeek V4 Pro 0813
LegalBench (Vals AI)82.4%77.9%DeepSeek V4 Pro 0813
CaseLaw (Vals AI)Not measured51.9%Only GPT-5.4 Nano measured
CorpFin (Vals AI)65.4%61.2%DeepSeek V4 Pro 0813
TaxEval (Vals AI)73.1%67.4%DeepSeek V4 Pro 0813
MortgageTax (Vals AI)Not measured59.1%Only GPT-5.4 Nano measured
MedCode (Vals AI)42.5%41.0%DeepSeek V4 Pro 0813
SimpleQA Verified52.9%11.7%DeepSeek V4 Pro 0813
LMArena Text: science14571374DeepSeek V4 Pro 0813
LMArena Text: medicine and healthcare14461369DeepSeek V4 Pro 0813
LMArena Text: legal and government14591368DeepSeek V4 Pro 0813
LMArena Text: business and finance14421366DeepSeek V4 Pro 0813
Neither model has a result on the other 6 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for DeepSeek V4 Pro 0813 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0813GPT-5.4 NanoLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for DeepSeek V4 Pro 0813 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0813GPT-5.4 NanoLeader
Vals Index53.0%Not measuredOnly DeepSeek V4 Pro 0813 measured
SAGE (Vals AI)Not measured38.1%Only GPT-5.4 Nano measured
MedScribe (Vals AI)80.2%77.1%DeepSeek V4 Pro 0813
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)80.3%76.7%DeepSeek V4 Pro 0813
DTBench93.9%80.3%DeepSeek V4 Pro 0813
LMCA45.5%36.9%DeepSeek V4 Pro 0813
LMArena Text14461372DeepSeek V4 Pro 0813
LMArena Text: instruction following14481362DeepSeek V4 Pro 0813
LMArena Text: creative writing14391315DeepSeek V4 Pro 0813
LMArena VisionNot measured1196Only GPT-5.4 Nano measured
LMArena Text: English14571381DeepSeek V4 Pro 0813
LMArena Text: non-English14311359DeepSeek V4 Pro 0813
LMArena Text: Chinese14811391DeepSeek V4 Pro 0813
LMArena Text: GermanNot measured1368Only GPT-5.4 Nano measured
LMArena Text: JapaneseNot measured1343Only GPT-5.4 Nano measured
LMArena Text: Korean14491321DeepSeek V4 Pro 0813
LMArena Text: French14461395DeepSeek V4 Pro 0813
LMArena Text: Spanish14351371DeepSeek V4 Pro 0813
LMArena Text: Russian14481363DeepSeek V4 Pro 0813
LMArena Text: PolishNot measured1366Only GPT-5.4 Nano measured
LMArena Text: multi-turn14541382DeepSeek V4 Pro 0813
LMArena Text: longer queries14581365DeepSeek V4 Pro 0813
LMArena Text: writing and language14431338DeepSeek V4 Pro 0813
LMArena Text: entertainment and media14241325DeepSeek V4 Pro 0813
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 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for DeepSeek V4 Pro 0813 and GPT-5.4 Nano
BenchmarkDeepSeek V4 Pro 0813GPT-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 0813$0.0016Fits 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 0813$0.039Fits 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 0813$0.152Fits 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 0813 and GPT-5.4 Nano
SpecificationDeepSeek V4 Pro 0813OpenAI GPT-5.4 Nano
MakerDeepSeekOpenAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 12, 2026March 17, 2026
Context window1.05M400K
Input $/Mtok$0.66$0.20
Output $/Mtok$1.98$1.25
Coding index56.144.8
Independent measurements behind it52
Cost per solved task$0.10$0.14
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Pro 0813 better than GPT-5.4 Nano for coding?

Pick DeepSeek V4 Pro 0813 for coding: it scores 56.1 on the Vibe Coding Index against 44.8 for GPT-5.4 Nano. Pick GPT-5.4 Nano for output tokens 1.6x cheaper ($1.25 vs $1.98 per million).

Which is cheaper, DeepSeek V4 Pro 0813 or GPT-5.4 Nano?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Per solved SWE-bench Verified task, DeepSeek V4 Pro 0813 costs $0.10 and GPT-5.4 Nano $0.14.

Which has the bigger context window, DeepSeek V4 Pro 0813 or GPT-5.4 Nano?

DeepSeek V4 Pro 0813, with 1.05M tokens against 400K.

How many benchmarks is the DeepSeek V4 Pro 0813 vs GPT-5.4 Nano comparison based on?

63 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Pro 0813'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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