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GPT-4 vs GPT-4.1 Nano

Updated October 21, 2026. 32 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4 Replace GPT-4.1 Nano
GPT-4OpenAI
Coding
22.4
Overall
6.7
Output $/M
$60.00
4
GPT-4.1 NanoOpenAI
Coding
8.9
Overall
7.8
Output $/M
$0.40
28
vs boards won of 32 shared

Decision reading

Pick GPT-4 for coding: it scores 22.4 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano.

Pick GPT-4.1 Nano when output tokens cost 150.0x less, or when the context window is larger, 1.05M against 8K tokens.

Model AGPT-4OpenAI22.4/1001 independent benchmarkNo cost per solved taskModel BGPT-4.1 NanoOpenAI8.9/1001 independent benchmarkNo cost per solved task
Shared results
32
GPT-4 only
13
GPT-4.1 Nano only
37
Like-for-like categories
6 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 22.4 from 1 benchmark, GPT-4.1 Nano 8.9 from 1 benchmark.
Widest category
Knowledge, 17.9 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: medicine and healthcare: GPT-4 1145 against GPT-4.1 Nano 1276, 21.8 points apart on a 0 to 100 scale.
Output price
GPT-4 $60.00 against GPT-4.1 Nano $0.40 per million output tokens, 150.0x apart.
Context window
GPT-4 takes 8K tokens, GPT-4.1 Nano 1.05M.

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-4BarsGPT-4.1 NanoTies
Coding12
Intelligence02
Reasoning04
Math02
Knowledge05
General313
All shared boards428
CodingLike-for-likeFour of these boards feed the Vibe Coding Index12
Coding benchmarks for GPT-4 and GPT-4.1 Nano
BenchmarkGPT-4GPT-4.1 NanoLeader
Aider polyglotNot measured8.9%Only GPT-4.1 Nano measured
SWE-bench Verified22.4%Not measuredOnly GPT-4 measured
SWE-bench Lite39.7%Not measuredOnly GPT-4 measured
SWE-bench (full test set)12.5%Not measuredOnly GPT-4 measured
AA Coding Index13.111.1GPT-4
LiveCodeBench (Vals AI)Not measured42.7%Only GPT-4.1 Nano measured
LiveCodeBench (Artificial Analysis run)Not measured32.6%Only GPT-4.1 Nano measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only GPT-4.1 Nano measured
WeirdMLNot measured19.0%Only GPT-4.1 Nano measured
LMArena Text: coding12091306GPT-4.1 Nano
LMArena Text: software and IT11951305GPT-4.1 Nano
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4 and GPT-4.1 Nano
BenchmarkGPT-4GPT-4.1 NanoLeader
AA Intelligence Index6.77.8GPT-4.1 Nano
Epoch Capabilities Index125.7129.5GPT-4.1 Nano
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GPT-4 and GPT-4.1 Nano
BenchmarkGPT-4GPT-4.1 NanoLeader
τ²-Bench TelecomNot measured17.3%Only 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 index04
Reasoning benchmarks for GPT-4 and GPT-4.1 Nano
BenchmarkGPT-4GPT-4.1 NanoLeader
GPQA DiamondNot measured50.8%Only GPT-4.1 Nano measured
MMMU Pro (Vals AI)Not measured55.0%Only GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)34.9%51.2%GPT-4.1 Nano
Humanity's Last Exam (Artificial Analysis run)Not measured3.8%Only GPT-4.1 Nano measured
GPQA Diamond (Epoch AI run)Not measured48.9%Only GPT-4.1 Nano measured
ARC-AGINot measured0.0%Only GPT-4.1 Nano measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Nano measured
Chess puzzlesNot measured0.0%Only GPT-4.1 Nano measured
BIG-Bench Hard75.1%Not measuredOnly GPT-4 measured
LMArena Text: hard prompts12001286GPT-4.1 Nano
LMArena Text: expert11491271GPT-4.1 Nano
LMArena Text: hard prompts in English12091293GPT-4.1 Nano
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4 and GPT-4.1 Nano
BenchmarkGPT-4GPT-4.1 NanoLeader
AIMENot measured26.5%Only GPT-4.1 Nano measured
MATH 500 (Vals AI)Not measured80.2%Only GPT-4.1 Nano measured
MGSM (Vals AI)Not measured69.3%Only GPT-4.1 Nano measured
AA Math IndexNot measured24.0Only GPT-4.1 Nano measured
AIME 2025 (Artificial Analysis run)Not measured24.0%Only GPT-4.1 Nano measured
OTIS Mock AIMENot measured28.9%Only GPT-4.1 Nano measured
MATH level 5Not measured70.0%Only GPT-4.1 Nano measured
GSM8K92.0%Not measuredOnly GPT-4 measured
LMArena Text: math12301274GPT-4.1 Nano
LMArena Text: mathematical work12281274GPT-4.1 Nano
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for GPT-4 and GPT-4.1 Nano
BenchmarkGPT-4GPT-4.1 NanoLeader
MMLU ProNot measured63.5%Only GPT-4.1 Nano measured
LegalBench (Vals AI)Not measured61.1%Only GPT-4.1 Nano measured
CorpFin (Vals AI)Not measured42.1%Only GPT-4.1 Nano measured
TaxEval (Vals AI)Not measured60.8%Only GPT-4.1 Nano measured
MortgageTax (Vals AI)Not measured52.8%Only GPT-4.1 Nano measured
MedQA (Vals AI)Not measured68.2%Only GPT-4.1 Nano measured
MMLU Pro (Artificial Analysis run)56.2%65.7%GPT-4.1 Nano
SimpleQA VerifiedNot measured6.0%Only GPT-4.1 Nano measured
MMLU86.4%Not measuredOnly GPT-4 measured
AI2 Reasoning Challenge96.3%Not measuredOnly GPT-4 measured
LMArena Text: science11771297GPT-4.1 Nano
LMArena Text: medicine and healthcare11451276GPT-4.1 Nano
LMArena Text: legal and government11911300GPT-4.1 Nano
LMArena Text: business and finance11451267GPT-4.1 Nano
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4 and GPT-4.1 Nano
BenchmarkGPT-4GPT-4.1 NanoLeader
Design Arena: websitesNot measured973Only GPT-4.1 Nano measured
Design Arena: UI componentsNot measured916Only GPT-4.1 Nano measured
Design Arena: game devNot measured971Only GPT-4.1 Nano measured
Design Arena: data vizNot measured891Only GPT-4.1 Nano measured
Design Arena: 3DNot measured925Only GPT-4.1 Nano measured
Design Arena: all code categoriesNot measured963Only 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 index313
General benchmarks for GPT-4 and GPT-4.1 Nano
BenchmarkGPT-4GPT-4.1 NanoLeader
IFBench33.2%32.0%GPT-4
Long context reasoning (AA-LCR)Not measured20.3%Only GPT-4.1 Nano measured
DTBench62.7%52.5%GPT-4
LMCA17.1%5.5%GPT-4
Fiction.LiveBenchNot measured25.0%Only GPT-4.1 Nano measured
HellaSwag95.3%Not measuredOnly GPT-4 measured
WinoGrande87.5%Not measuredOnly GPT-4 measured
LMArena Text12061285GPT-4.1 Nano
LMArena Text: instruction following12011266GPT-4.1 Nano
LMArena Text: creative writing11911260GPT-4.1 Nano
LMArena VisionNot measured1063Only GPT-4.1 Nano measured
LMArena Text: English12201303GPT-4.1 Nano
LMArena Text: non-English11941260GPT-4.1 Nano
LMArena Text: Chinese11841270GPT-4.1 Nano
LMArena Text: German11981288GPT-4.1 Nano
LMArena Text: Japanese11371198GPT-4.1 Nano
LMArena Text: Korean1087Not measuredOnly GPT-4 measured
LMArena Text: French1220Not measuredOnly GPT-4 measured
LMArena Text: Spanish1197Not measuredOnly GPT-4 measured
LMArena Text: Russian11951261GPT-4.1 Nano
LMArena Text: Polish1265Not measuredOnly GPT-4 measured
LMArena Text: multi-turn12061277GPT-4.1 Nano
LMArena Text: longer queries11901283GPT-4.1 Nano
LMArena Text: writing and language12191261GPT-4.1 Nano
LMArena Text: entertainment and media11841243GPT-4.1 Nano
LMArena Vision: EnglishNot measured1101Only GPT-4.1 Nano measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4 and GPT-4.1 Nano
BenchmarkGPT-4GPT-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$0.060Fits 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$1.68Exceeds the context window
GPT-4.1 Nano$0.0062Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

GPT-4$6.60Exceeds the context window
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 and GPT-4.1 Nano
SpecificationOpenAI GPT-4OpenAI GPT-4.1 Nano
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 28, 2023April 14, 2025
Context window8K1.05M
Input $/Mtok$30.00$0.10
Output $/Mtok$60.00$0.40
Coding index22.48.9
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4 better than GPT-4.1 Nano for coding?

Pick GPT-4 for coding: it scores 22.4 on the Vibe Coding Index against 8.9 for GPT-4.1 Nano. Pick GPT-4.1 Nano when output tokens cost 150.0x less, or when the context window is larger, 1.05M against 8K tokens.

Which is cheaper, GPT-4 or GPT-4.1 Nano?

GPT-4 costs $30.00 per million input tokens and $60.00 per million output tokens; GPT-4.1 Nano costs $0.10 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4 or GPT-4.1 Nano?

GPT-4.1 Nano, with 1.05M tokens against 8K.

How many benchmarks is the GPT-4 vs GPT-4.1 Nano comparison based on?

32 benchmarks have a result for both models as of October 21, 2026. GPT-4's coding index rests on 1 independent benchmark 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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