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GPT-4.1 Nano vs GPT-4o (2024-05-13)

GPT-4.1 Nano leads GPT-4o (2024-05-13) on the Artificial Analysis Intelligence Index, 7.8 to 7.3, and GPT-4.1 Nano costs 37.5x less per output token ($0.40 vs $15.00 per million). Updated October 22, 2026; 36 benchmarks have a result for both.

Replace GPT-4.1 Nano Replace GPT-4o (2024-05-13)
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
13
GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
23
vs boards won of 36 shared

GPT-4.1 Nano or GPT-4o (2024-05-13): which to pick

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

Pick GPT-4.1 Nano for output tokens 37.5x cheaper ($0.40 vs $15.00 per million) and a larger context window (1.05M against 128K tokens).

Model AGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-4o (2024-05-13)OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
36
GPT-4.1 Nano only
35
GPT-4o (2024-05-13) only
8
Like-for-like categories
6 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
GPT-4.1 Nano not benchmarked, GPT-4o (2024-05-13) not benchmarked.
Widest category
Math, 11.2 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: GPT-4.1 Nano 28.9% against GPT-4o (2024-05-13) 6.3%, 22.6 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against GPT-4o (2024-05-13) $15.00 per million output tokens, 37.5x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, GPT-4o (2024-05-13) 128K.

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
CategoryGPT-4.1 NanoBarsGPT-4o (2024-05-13)Ties
Coding22
Intelligence10
Reasoning52
Math22
Knowledge23
General114
All shared boards1323
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
Coding benchmarks for GPT-4.1 Nano and GPT-4o (2024-05-13)
BenchmarkGPT-4.1 NanoGPT-4o (2024-05-13)Leader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano measured
AA Coding Index11.124.2GPT-4o (2024-05-13)
LiveCodeBench (Vals AI)42.7%Not measuredOnly GPT-4.1 Nano measured
LiveCodeBench (Artificial Analysis run)32.6%33.4%GPT-4o (2024-05-13)
Terminal-Bench Hard (Artificial Analysis run)3.8%Not measuredOnly GPT-4.1 Nano measured
WeirdML19.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: coding13061297GPT-4.1 Nano
LMArena Text: software and IT13051297GPT-4.1 Nano
Neither model has a result on the other 35 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-4.1 Nano and GPT-4o (2024-05-13)
BenchmarkGPT-4.1 NanoGPT-4o (2024-05-13)Leader
AA Intelligence Index7.87.3GPT-4.1 Nano
Epoch Capabilities Index129.5Not measuredOnly GPT-4.1 Nano measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for GPT-4.1 Nano and GPT-4o (2024-05-13)
BenchmarkGPT-4.1 NanoGPT-4o (2024-05-13)Leader
τ²-Bench Telecom17.3%Not measuredOnly GPT-4.1 Nano measured
METR time horizonsNot measured40.8%Only GPT-4o (2024-05-13) measured
BALROGNot measured32.3%Only GPT-4o (2024-05-13) measured
Berkeley Function Calling Leaderboard (BFCL)33.1%Not measuredOnly 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 index52
Reasoning benchmarks for GPT-4.1 Nano and GPT-4o (2024-05-13)
BenchmarkGPT-4.1 NanoGPT-4o (2024-05-13)Leader
GPQA Diamond50.8%50.2%GPT-4.1 Nano
MMMU Pro (Vals AI)55.0%Not measuredOnly GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)51.2%52.6%GPT-4o (2024-05-13)
Humanity's Last Exam (Artificial Analysis run)3.8%1.8%GPT-4.1 Nano
GPQA Diamond (Epoch AI run)48.9%48.9%GPT-4.1 Nano
ARC-AGI0.0%Not measuredOnly GPT-4.1 Nano measured
ARC-AGI-20.0%Not measuredOnly GPT-4.1 Nano measured
Chess puzzles0.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: hard prompts12861281GPT-4.1 Nano
LMArena Text: expert12711250GPT-4.1 Nano
LMArena Text: hard prompts in English12931293GPT-4o (2024-05-13)
Kagi LLM Benchmark33.3%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index22
Math benchmarks for GPT-4.1 Nano and GPT-4o (2024-05-13)
BenchmarkGPT-4.1 NanoGPT-4o (2024-05-13)Leader
AIME26.5%Not measuredOnly GPT-4.1 Nano measured
MATH 500 (Vals AI)80.2%Not measuredOnly GPT-4.1 Nano measured
MGSM (Vals AI)69.3%Not measuredOnly GPT-4.1 Nano measured
AA Math Index24.0Not measuredOnly GPT-4.1 Nano measured
AIME 2025 (Artificial Analysis run)24.0%Not measuredOnly GPT-4.1 Nano measured
OTIS Mock AIME28.9%6.3%GPT-4.1 Nano
MATH level 570.0%51.0%GPT-4.1 Nano
LMArena Text: math12741284GPT-4o (2024-05-13)
LMArena Text: mathematical work12741284GPT-4o (2024-05-13)
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for GPT-4.1 Nano and GPT-4o (2024-05-13)
BenchmarkGPT-4.1 NanoGPT-4o (2024-05-13)Leader
MMLU Pro63.5%Not measuredOnly GPT-4.1 Nano measured
LegalBench (Vals AI)61.1%Not measuredOnly GPT-4.1 Nano measured
CorpFin (Vals AI)42.1%Not measuredOnly GPT-4.1 Nano measured
TaxEval (Vals AI)60.8%Not measuredOnly GPT-4.1 Nano measured
MortgageTax (Vals AI)52.8%Not measuredOnly GPT-4.1 Nano measured
MedQA (Vals AI)68.2%Not measuredOnly GPT-4.1 Nano measured
MMLU Pro (Artificial Analysis run)65.7%74.0%GPT-4o (2024-05-13)
SimpleQA Verified6.0%Not measuredOnly GPT-4.1 Nano measured
MMLUNot measured84.2%Only GPT-4o (2024-05-13) measured
LMArena Text: science12971295GPT-4.1 Nano
LMArena Text: medicine and healthcare12761278GPT-4o (2024-05-13)
LMArena Text: legal and government13001314GPT-4o (2024-05-13)
LMArena Text: business and finance12671262GPT-4.1 Nano
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4.1 Nano and GPT-4o (2024-05-13)
BenchmarkGPT-4.1 NanoGPT-4o (2024-05-13)Leader
Design Arena: websites973Not measuredOnly GPT-4.1 Nano measured
Design Arena: UI components913Not measuredOnly GPT-4.1 Nano measured
Design Arena: game dev970Not measuredOnly GPT-4.1 Nano measured
Design Arena: data viz891Not measuredOnly GPT-4.1 Nano measured
Design Arena: 3D924Not measuredOnly GPT-4.1 Nano measured
Design Arena: all code categories962Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index114
General benchmarks for GPT-4.1 Nano and GPT-4o (2024-05-13)
BenchmarkGPT-4.1 NanoGPT-4o (2024-05-13)Leader
IFBench32.0%Not measuredOnly GPT-4.1 Nano measured
Long context reasoning (AA-LCR)20.3%Not measuredOnly GPT-4.1 Nano measured
DTBench52.5%Not measuredOnly GPT-4.1 Nano measured
LMCA5.5%Not measuredOnly GPT-4.1 Nano measured
Fiction.LiveBench25.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text12851300GPT-4o (2024-05-13)
LMArena Text: instruction following12661278GPT-4o (2024-05-13)
LMArena Text: creative writing12601291GPT-4o (2024-05-13)
LMArena Vision10631137GPT-4o (2024-05-13)
LMArena Text: English13031312GPT-4o (2024-05-13)
LMArena Text: non-English12601283GPT-4o (2024-05-13)
LMArena Text: Chinese12701277GPT-4o (2024-05-13)
LMArena Text: German12881283GPT-4.1 Nano
LMArena Text: Japanese11981257GPT-4o (2024-05-13)
LMArena Text: KoreanNot measured1234Only GPT-4o (2024-05-13) measured
LMArena Text: FrenchNot measured1304Only GPT-4o (2024-05-13) measured
LMArena Text: SpanishNot measured1292Only GPT-4o (2024-05-13) measured
LMArena Text: Russian12611285GPT-4o (2024-05-13)
LMArena Text: PolishNot measured1365Only GPT-4o (2024-05-13) measured
LMArena Text: multi-turn12771302GPT-4o (2024-05-13)
LMArena Text: longer queries12831288GPT-4o (2024-05-13)
LMArena Text: writing and language12611298GPT-4o (2024-05-13)
LMArena Text: entertainment and media12431289GPT-4o (2024-05-13)
LMArena Vision: English11011147GPT-4o (2024-05-13)
LMArena Vision: ChineseNot measured1132Only GPT-4o (2024-05-13) measured
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 Nano and GPT-4o (2024-05-13)
BenchmarkGPT-4.1 NanoGPT-4o (2024-05-13)Leader
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

GPT-4.1 Nano$0.0003Fits in one request
GPT-4o (2024-05-13)$0.013Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

GPT-4.1 Nano$0.0062Fits in one request
GPT-4o (2024-05-13)$0.295Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-4.1 Nano$0.024Fits in one request
GPT-4o (2024-05-13)$1.15Exceeds the context window

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 GPT-4.1 Nano and GPT-4o (2024-05-13)
SpecificationOpenAI GPT-4.1 NanoOpenAI GPT-4o (2024-05-13)
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025May 13, 2024
Context window1.05M128K
Input $/Mtok$0.10$5.00
Output $/Mtok$0.40$15.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano better than GPT-4o (2024-05-13) for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 Nano for output tokens 37.5x cheaper ($0.40 vs $15.00 per million) and a larger context window (1.05M against 128K tokens).

Which is cheaper, GPT-4.1 Nano or GPT-4o (2024-05-13)?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; GPT-4o (2024-05-13) costs $5.00 and $15.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4.1 Nano or GPT-4o (2024-05-13)?

GPT-4.1 Nano, with 1.05M tokens against 128K.

How many benchmarks is the GPT-4.1 Nano vs GPT-4o (2024-05-13) comparison based on?

36 benchmarks have a result for both models as of October 22, 2026. GPT-4.1 Nano's coding index rests on 0 independent benchmarks and GPT-4o (2024-05-13)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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