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GPT-4.1 vs GPT-4.1 Nano

Updated October 21, 2026. 68 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GPT-4.1OpenAI
Coding
46.5
Overall
12.7
Output $/M
$8.00
67
GPT-4.1 NanoOpenAI
Coding
8.9
Overall
7.8
Output $/M
$0.40
1
vs boards won of 68 shared

Decision reading

Pick GPT-4.1 for coding: it scores 46.5 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano.

Pick GPT-4.1 Nano when output tokens cost 20.0x less, or when the benchmark that matters is Design Arena: 3D, where it leads.

Shared results
68
GPT-4.1 only
19
GPT-4.1 Nano only
1
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 46.5 from 2 benchmarks, GPT-4.1 Nano 8.9 from 1 benchmark.
Widest category
Agentic work, 29.8 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): GPT-4.1 68.3% against GPT-4.1 Nano 20.3%, 48.0 points apart on a 0 to 100 scale.
Output price
GPT-4.1 $8.00 against GPT-4.1 Nano $0.40 per million output tokens, 20.0x apart.
Context window
Both take 1.05M tokens.

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-4.1BarsGPT-4.1 NanoTies
Coding70
Intelligence20
Agentic work10
Reasoning110
Math90
Knowledge120
Web design51
General200
All shared boards671
CodingLike-for-likeFour of these boards feed the Vibe Coding Index70
Coding benchmarks for GPT-4.1 and GPT-4.1 Nano
BenchmarkGPT-4.1GPT-4.1 NanoLeader
Aider polyglot52.4%8.9%GPT-4.1
SWE-bench Verified39.6%Not measuredOnly GPT-4.1 measured
SWE-bench Multimodal31.1%Not measuredOnly GPT-4.1 measured
AA Coding IndexNot measured11.1Only GPT-4.1 Nano measured
LiveCodeBench (Vals AI)54.7%42.7%GPT-4.1
LiveCodeBench (Artificial Analysis run)45.7%32.6%GPT-4.1
Terminal-Bench Hard (Artificial Analysis run)13.6%3.8%GPT-4.1
WeirdML39.0%19.0%GPT-4.1
ALE-Bench558.1Not measuredOnly GPT-4.1 measured
LMArena Text: coding13901306GPT-4.1
LMArena Text: software and IT13911305GPT-4.1
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-4.1 and GPT-4.1 Nano
BenchmarkGPT-4.1GPT-4.1 NanoLeader
AA Intelligence Index12.77.8GPT-4.1
Epoch Capabilities Index136.7129.5GPT-4.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-4.1 and GPT-4.1 Nano
BenchmarkGPT-4.1GPT-4.1 NanoLeader
τ²-Bench Telecom47.1%17.3%GPT-4.1
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
Reasoning benchmarks for GPT-4.1 and GPT-4.1 Nano
BenchmarkGPT-4.1GPT-4.1 NanoLeader
GPQA Diamond65.4%50.8%GPT-4.1
MMMU Pro (Vals AI)72.4%55.0%GPT-4.1
GPQA Diamond (Artificial Analysis run)66.6%51.2%GPT-4.1
Humanity's Last Exam (Artificial Analysis run)4.2%3.8%GPT-4.1
GPQA Diamond (Epoch AI run)66.9%48.9%GPT-4.1
ARC-AGI5.5%0.0%GPT-4.1
ARC-AGI-20.4%0.0%GPT-4.1
SimpleBench27.0%Not measuredOnly GPT-4.1 measured
Chess puzzles3.0%0.0%GPT-4.1
LMArena Text: hard prompts13841286GPT-4.1
LMArena Text: expert13641271GPT-4.1
LMArena Text: hard prompts in English13931293GPT-4.1
LMArena Vision: diagrams1215Not measuredOnly GPT-4.1 measured
LMArena Vision: homework1248Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index90
Math benchmarks for GPT-4.1 and GPT-4.1 Nano
BenchmarkGPT-4.1GPT-4.1 NanoLeader
AIME39.6%26.5%GPT-4.1
MATH 500 (Vals AI)87.2%80.2%GPT-4.1
MGSM (Vals AI)87.7%69.3%GPT-4.1
AA Math Index34.724.0GPT-4.1
AIME 2025 (Artificial Analysis run)34.7%24.0%GPT-4.1
OTIS Mock AIME38.3%28.9%GPT-4.1
FrontierMath, tiers 1 to 36.0%Not measuredOnly GPT-4.1 measured
MATH level 583.0%70.0%GPT-4.1
LMArena Text: math13691274GPT-4.1
LMArena Text: mathematical work13601274GPT-4.1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index120
Knowledge benchmarks for GPT-4.1 and GPT-4.1 Nano
BenchmarkGPT-4.1GPT-4.1 NanoLeader
MMLU Pro80.5%63.5%GPT-4.1
LegalBench (Vals AI)83.1%61.1%GPT-4.1
CaseLaw (Vals AI)69.9%Not measuredOnly GPT-4.1 measured
CorpFin (Vals AI)63.0%42.1%GPT-4.1
TaxEval (Vals AI)75.1%60.8%GPT-4.1
MortgageTax (Vals AI)65.9%52.8%GPT-4.1
MedQA (Vals AI)91.2%68.2%GPT-4.1
MMLU Pro (Artificial Analysis run)80.6%65.7%GPT-4.1
SimpleQA Verified31.1%6.0%GPT-4.1
GeoBench72.0%Not measuredOnly GPT-4.1 measured
LMArena Text: science13821297GPT-4.1
LMArena Text: medicine and healthcare13791276GPT-4.1
LMArena Text: legal and government13991300GPT-4.1
LMArena Text: business and finance13691267GPT-4.1
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index51
Web design benchmarks for GPT-4.1 and GPT-4.1 Nano
BenchmarkGPT-4.1GPT-4.1 NanoLeader
Design Arena: websites1039973GPT-4.1
Design Arena: UI components1000916GPT-4.1
Design Arena: game dev1080971GPT-4.1
Design Arena: data viz1104891GPT-4.1
Design Arena: 3D850925GPT-4.1 Nano
Design Arena: all code categories1026963GPT-4.1
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index200
General benchmarks for GPT-4.1 and GPT-4.1 Nano
BenchmarkGPT-4.1GPT-4.1 NanoLeader
IFBench43.0%32.0%GPT-4.1
Long context reasoning (AA-LCR)68.3%20.3%GPT-4.1
DTBench68.3%52.5%GPT-4.1
LMCA25.6%5.5%GPT-4.1
Fiction.LiveBench63.9%25.0%GPT-4.1
LMArena Text13831285GPT-4.1
LMArena Text: instruction following13671266GPT-4.1
LMArena Text: creative writing13631260GPT-4.1
LMArena Vision12101063GPT-4.1
LMArena Text: English13921303GPT-4.1
LMArena Text: non-English13701260GPT-4.1
LMArena Text: Chinese13821270GPT-4.1
LMArena Text: German13811288GPT-4.1
LMArena Text: Japanese13191198GPT-4.1
LMArena Text: Korean1338Not measuredOnly GPT-4.1 measured
LMArena Text: French1382Not measuredOnly GPT-4.1 measured
LMArena Text: Spanish1376Not measuredOnly GPT-4.1 measured
LMArena Text: Russian13771261GPT-4.1
LMArena Text: Polish1389Not measuredOnly GPT-4.1 measured
LMArena Text: multi-turn13971277GPT-4.1
LMArena Text: longer queries13851283GPT-4.1
LMArena Text: writing and language13711261GPT-4.1
LMArena Text: entertainment and media13651243GPT-4.1
LMArena Vision: English12091101GPT-4.1
LMArena Vision: Chinese1226Not measuredOnly GPT-4.1 measured
LMArena Vision: reading text1218Not measuredOnly GPT-4.1 measured
LMArena Vision: humor1196Not measuredOnly GPT-4.1 measured
LMArena Vision: captioning1207Not measuredOnly GPT-4.1 measured
LMArena Vision: recognizing things1208Not measuredOnly GPT-4.1 measured
LMArena Vision: creative writing1210Not measuredOnly GPT-4.1 measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4.1 and GPT-4.1 Nano
BenchmarkGPT-4.1GPT-4.1 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

GPT-4.1$0.0060Fits in one request
GPT-4.1 Nano$0.0003Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

GPT-4.1$0.124Fits in one request
GPT-4.1 Nano$0.0062Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-4.1$0.480Fits in one request
GPT-4.1 Nano$0.024Fits in one request

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 and GPT-4.1 Nano
SpecificationOpenAI GPT-4.1OpenAI GPT-4.1 Nano
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedApril 14, 2025April 14, 2025
Context window1.05M1.05M
Input $/Mtok$2.00$0.10
Output $/Mtok$8.00$0.40
Coding index46.58.9
Independent measurements behind it21
Cost per solved task$0.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 better than GPT-4.1 Nano for coding?

Pick GPT-4.1 for coding: it scores 46.5 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano. Pick GPT-4.1 Nano when output tokens cost 20.0x less, or when the benchmark that matters is Design Arena: 3D, where it leads.

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

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; GPT-4.1 Nano costs $0.10 and $0.40. Cost per solved task is known for GPT-4.1 only.

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

Neither: both take 1.05M tokens.

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

68 benchmarks have a result for both models as of October 21, 2026. GPT-4.1's coding index rests on 2 independent benchmarks and GPT-4.1 Nano's on 1. Where only one model has a result, the page says so instead of naming a winner.

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