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GPT-4.1 Nano vs o3 Mini

o3 Mini leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 12.5 to 7.8, and GPT-4.1 Nano costs 11.0x less per output token ($0.40 vs $4.40 per million). Updated October 22, 2026; 56 benchmarks have a result for both.

Replace GPT-4.1 Nano Replace o3 Mini
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
o3 MiniOpenAI
Coding
No data
Overall
38.0
Output $/M
$4.40
56
vs boards won of 56 shared

GPT-4.1 Nano or o3 Mini: 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 11.0x cheaper ($0.40 vs $4.40 per million) and a larger context window (1.05M against 200K tokens).

Model AGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel Bo3 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
56
GPT-4.1 Nano only
15
o3 Mini only
15
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
GPT-4.1 Nano not benchmarked, o3 Mini not benchmarked.
Widest category
Math, 29.9 points apart on average over 7 shared benchmarks.
Widest single gap
AIME: GPT-4.1 Nano 26.5% against o3 Mini 86.5%, 60.0 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against o3 Mini $4.40 per million output tokens, 11.0x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, o3 Mini 200K.

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 NanoBarso3 MiniTies
Coding07
Intelligence02
Agentic work01
Reasoning010
Math07
Knowledge011
General018
All shared boards056
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for GPT-4.1 Nano and o3 Mini
BenchmarkGPT-4.1 Nanoo3 MiniLeader
Aider polyglot8.9%60.4%o3 Mini
SWE-bench VerifiedNot measured42.4%Only o3 Mini measured
SWE-bench LiteNot measured32.3%Only o3 Mini measured
AA Coding Index11.1Not measuredOnly GPT-4.1 Nano measured
LiveCodeBench (Vals AI)42.7%71.5%o3 Mini
LiveCodeBench (Artificial Analysis run)32.6%73.4%o3 Mini
SciCodeNot measured42.8%Only o3 Mini measured
Terminal-Bench Hard (Artificial Analysis run)3.8%6.8%o3 Mini
GSO-BenchNot measured1.3%Only o3 Mini measured
WeirdML19.0%43.7%o3 Mini
CybenchNot measured22.5%Only o3 Mini measured
LMArena Text: coding13061378o3 Mini
LMArena Text: software and IT13051364o3 Mini
SciCodeNot measured7.7%Only o3 Mini measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Nano and o3 Mini
BenchmarkGPT-4.1 Nanoo3 MiniLeader
AA Intelligence Index7.812.5o3 Mini
Epoch Capabilities Index129.5140.2o3 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4.1 Nano and o3 Mini
BenchmarkGPT-4.1 Nanoo3 MiniLeader
τ²-Bench Telecom17.3%31.3%o3 Mini
Berkeley Function Calling Leaderboard (BFCL)33.1%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index010
Reasoning benchmarks for GPT-4.1 Nano and o3 Mini
BenchmarkGPT-4.1 Nanoo3 MiniLeader
GPQA Diamond50.8%75.5%o3 Mini
MMMU Pro (Vals AI)55.0%Not measuredOnly GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)51.2%77.3%o3 Mini
Humanity's Last Exam (Artificial Analysis run)3.8%12.0%o3 Mini
GPQA Diamond (Epoch AI run)48.9%77.0%o3 Mini
ARC-AGI0.0%34.5%o3 Mini
ARC-AGI-20.0%3.0%o3 Mini
SimpleBenchNot measured22.8%Only o3 Mini measured
Chess puzzles0.0%15.0%o3 Mini
Mystery game puzzlesNot measured7.0%Only o3 Mini measured
LMArena Text: hard prompts12861365o3 Mini
LMArena Text: expert12711364o3 Mini
LMArena Text: hard prompts in English12931375o3 Mini
Kagi LLM Benchmark33.3%Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index07
Math benchmarks for GPT-4.1 Nano and o3 Mini
BenchmarkGPT-4.1 Nanoo3 MiniLeader
AIME26.5%86.5%o3 Mini
MATH 500 (Vals AI)80.2%91.8%o3 Mini
MGSM (Vals AI)69.3%91.3%o3 Mini
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%76.9%o3 Mini
FrontierMath, tiers 1 to 3Not measured18.6%Only o3 Mini measured
FrontierMath, tier 4Not measured0.0%Only o3 Mini measured
MATH level 570.0%96.5%o3 Mini
LMArena Text: math12741396o3 Mini
LMArena Text: mathematical work12741399o3 Mini
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index011
Knowledge benchmarks for GPT-4.1 Nano and o3 Mini
BenchmarkGPT-4.1 Nanoo3 MiniLeader
MMLU Pro63.5%78.7%o3 Mini
LegalBench (Vals AI)61.1%71.5%o3 Mini
CorpFin (Vals AI)42.1%45.3%o3 Mini
TaxEval (Vals AI)60.8%69.4%o3 Mini
MortgageTax (Vals AI)52.8%Not measuredOnly GPT-4.1 Nano measured
MedQA (Vals AI)68.2%94.8%o3 Mini
MMLU Pro (Artificial Analysis run)65.7%80.2%o3 Mini
SimpleQA Verified6.0%15.3%o3 Mini
LMArena Text: science12971339o3 Mini
LMArena Text: medicine and healthcare12761330o3 Mini
LMArena Text: legal and government13001328o3 Mini
LMArena Text: business and finance12671313o3 Mini
Neither model has a result on the other 6 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 o3 Mini
BenchmarkGPT-4.1 Nanoo3 MiniLeader
Design Arena: websites972Not 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 index018
General benchmarks for GPT-4.1 Nano and o3 Mini
BenchmarkGPT-4.1 Nanoo3 MiniLeader
IFBench32.0%67.1%o3 Mini
Long context reasoning (AA-LCR)20.3%43.0%o3 Mini
DTBench52.5%68.8%o3 Mini
LMCA5.5%19.0%o3 Mini
Fiction.LiveBench25.0%50.0%o3 Mini
Creative writing (Lech Mazur)Not measured61.7%Only o3 Mini measured
LMArena Text12851337o3 Mini
LMArena Text: instruction following12661337o3 Mini
LMArena Text: creative writing12601286o3 Mini
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English13031351o3 Mini
LMArena Text: non-English12601319o3 Mini
LMArena Text: Chinese12701379o3 Mini
LMArena Text: German12881303o3 Mini
LMArena Text: Japanese11981286o3 Mini
LMArena Text: KoreanNot measured1313Only o3 Mini measured
LMArena Text: FrenchNot measured1334Only o3 Mini measured
LMArena Text: SpanishNot measured1321Only o3 Mini measured
LMArena Text: Russian12611304o3 Mini
LMArena Text: PolishNot measured1294Only o3 Mini measured
LMArena Text: multi-turn12771320o3 Mini
LMArena Text: longer queries12831343o3 Mini
LMArena Text: writing and language12611313o3 Mini
LMArena Text: entertainment and media12431283o3 Mini
LMArena Vision: English1101Not measuredOnly GPT-4.1 Nano measured
Neither model has a result on the other 21 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 o3 Mini
BenchmarkGPT-4.1 Nanoo3 MiniLeader
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
o3 Mini$0.0033Fits 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
o3 Mini$0.068Fits 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
o3 Mini$0.264Exceeds 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 o3 Mini
SpecificationOpenAI GPT-4.1 NanoOpenAI o3 Mini
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025January 31, 2025
Context window1.05M200K
Input $/Mtok$0.10$1.10
Output $/Mtok$0.40$4.40
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 o3 Mini 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 11.0x cheaper ($0.40 vs $4.40 per million) and a larger context window (1.05M against 200K tokens).

Which is cheaper, GPT-4.1 Nano or o3 Mini?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; o3 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4.1 Nano or o3 Mini?

GPT-4.1 Nano, with 1.05M tokens against 200K.

How many benchmarks is the GPT-4.1 Nano vs o3 Mini comparison based on?

56 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 o3 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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