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GPT-4.1 Nano vs Inkling

Inkling leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 25.0 to 7.8, and GPT-4.1 Nano costs 10.1x less per output token ($0.40 vs $4.05 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
T InklingThinking Machines
Coding
31.5
Overall
46.5
Output $/M
$4.05
53
vs boards won of 53 shared

GPT-4.1 Nano or Inkling: which to pick

Only Inkling has a coding score, 31.5 on the Vibe Coding Index; GPT-4.1 Nano has none, so the two cannot be ranked on coding.

Pick GPT-4.1 Nano for output tokens 10.1x cheaper ($0.40 vs $4.05 per million) and a larger context window (1.05M against 524K tokens).

Shared results
53
GPT-4.1 Nano only
18
Inkling only
53
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, Inkling 31.5 from 6 benchmarks.
Widest category
Math, 41.7 points apart on average over 3 shared benchmarks.
Widest single gap
ARC-AGI: GPT-4.1 Nano 0.0% against Inkling 79.5%, 79.5 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against Inkling $4.05 per million output tokens, 10.1x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, Inkling 524K.

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 NanoBarsInklingTies
Coding05
Intelligence02
Reasoning011
Math03
Knowledge010
Web design06
General016
All shared boards053
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for GPT-4.1 Nano and Inkling
BenchmarkGPT-4.1 NanoInklingLeader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano measured
LiveBench codingNot measured64.0%Only Inkling measured
LMArena WebDevNot measured1414Only Inkling measured
AA Coding Index11.152.1Inkling
LiveCodeBench (Vals AI)42.7%85.5%Inkling
SWE-bench Verified (Vals AI)Not measured77.6%Only Inkling measured
Terminal-Bench 4 (Vals AI)Not measured0.5%Only Inkling measured
Vibe Code Bench (Vals AI)Not measured19.2%Only Inkling measured
Code migration (Vals AI)Not measured11.8%Only Inkling measured
ProgramBench (Vals AI)Not measured0.0%Only Inkling measured
IOI (Vals AI)Not measured14.9%Only Inkling measured
Terminal-Bench 2.1 (Vals AI)Not measured47.6%Only Inkling measured
Vibe Code Bench 1-100 (Vals AI)Not measured7.3%Only Inkling measured
SkillsBench (Vals AI)Not measured26.1%Only Inkling measured
CyberBench (Vals AI)Not measured66.8%Only Inkling measured
LiveCodeBench (Artificial Analysis run)32.6%Not measuredOnly GPT-4.1 Nano measured
SciCodeNot measured47.0%Only Inkling measured
Terminal-Bench Hard (Artificial Analysis run)3.8%Not measuredOnly GPT-4.1 Nano measured
FrontierCodeNot measured14.0%Only Inkling measured
FrontierSWENot measured4.1%Only Inkling measured
WeirdML19.0%32.3%Inkling
ALE-BenchNot measured946.0Only Inkling measured
LMArena Text: coding13061466Inkling
LMArena Text: software and IT13051465Inkling
LMArena WebDev: ReactNot measured1404Only Inkling measured
LMArena WebDev: HTMLNot measured1399Only Inkling measured
SWE-Bench Pro V2Not measured89.9%Only Inkling measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GPT-4.1 Nano and Inkling
BenchmarkGPT-4.1 NanoInklingLeader
AA Intelligence Index7.825.0Inkling
Epoch Capabilities Index129.5148.4Inkling
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
Agentic work benchmarks for GPT-4.1 Nano and Inkling
BenchmarkGPT-4.1 NanoInklingLeader
AA Agentic IndexNot measured22.5Only Inkling measured
Design Arena: agents building web appsNot measured1196Only Inkling measured
LiveBench researchNot measured59.9%Only Inkling measured
LiveBench browserNot measured16.0%Only Inkling measured
LiveBench long agenticNot measured14.1%Only Inkling measured
SREBench (Vals AI)Not measured0.0%Only Inkling measured
Finance Agent (Vals AI)Not measured46.6%Only Inkling measured
Tax Agent Bench (Vals AI)Not measured15.3%Only Inkling measured
Legal Research Bench (Vals AI)Not measured28.4%Only Inkling measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured3.8%Only Inkling measured
Excel Modeling Benchmark (Vals AI)Not measured38.4%Only Inkling measured
τ²-Bench Telecom17.3%Not measuredOnly GPT-4.1 Nano measured
APEX-AgentsNot measured33.8%Only Inkling measured
Berkeley Function Calling Leaderboard (BFCL)33.1%Not measuredOnly GPT-4.1 Nano measured
MCP AtlasNot measured76.0%Only Inkling measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index011
Reasoning benchmarks for GPT-4.1 Nano and Inkling
BenchmarkGPT-4.1 NanoInklingLeader
GPQA Diamond50.8%87.1%Inkling
LiveBench reasoningNot measured78.3%Only Inkling measured
MMMU Pro (Vals AI)55.0%78.5%Inkling
GPQA Diamond (Artificial Analysis run)51.2%87.2%Inkling
Humanity's Last Exam (Artificial Analysis run)3.8%31.9%Inkling
GPQA Diamond (Epoch AI run)48.9%88.3%Inkling
ARC-AGI0.0%79.5%Inkling
ARC-AGI-20.0%36.5%Inkling
SimpleBenchNot measured50.0%Only Inkling measured
Chess puzzles0.0%21.0%Inkling
LMArena Text: hard prompts12861451Inkling
LMArena Text: expert12711466Inkling
LMArena Text: hard prompts in English12931448Inkling
Kagi LLM Benchmark33.3%Not measuredOnly GPT-4.1 Nano measured
Humanity's Last Exam (Scale run)Not measured11.2%Only Inkling measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GPT-4.1 Nano and Inkling
BenchmarkGPT-4.1 NanoInklingLeader
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%88.9%Inkling
FrontierMath, tiers 1 to 3Not measured33.3%Only Inkling measured
FrontierMath, tier 4Not measured4.9%Only Inkling measured
ProofBenchNot measured0.0%Only Inkling measured
MATH level 570.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: math12741479Inkling
LMArena Text: mathematical work12741460Inkling
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
Knowledge benchmarks for GPT-4.1 Nano and Inkling
BenchmarkGPT-4.1 NanoInklingLeader
MMLU Pro63.5%86.3%Inkling
LegalBench (Vals AI)61.1%83.0%Inkling
CorpFin (Vals AI)42.1%68.6%Inkling
TaxEval (Vals AI)60.8%75.3%Inkling
MortgageTax (Vals AI)52.8%64.0%Inkling
MedQA (Vals AI)68.2%Not measuredOnly GPT-4.1 Nano measured
MedCode (Vals AI)Not measured41.2%Only Inkling measured
MMLU Pro (Artificial Analysis run)65.7%Not measuredOnly GPT-4.1 Nano measured
SimpleQA Verified6.0%40.3%Inkling
LMArena Text: science12971455Inkling
LMArena Text: medicine and healthcare12761447Inkling
LMArena Text: legal and government13001448Inkling
LMArena Text: business and finance12671438Inkling
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GPT-4.1 Nano and Inkling
BenchmarkGPT-4.1 NanoInklingLeader
Design Arena: websites9731224Inkling
Design Arena: UI components9131199Inkling
Design Arena: game dev9701165Inkling
Design Arena: data viz8911157Inkling
Design Arena: 3D9241160Inkling
Design Arena: all code categories9621205Inkling
Design Arena: SVGNot measured1108Only Inkling measured
Design Arena: ASCII artNot measured1089Only Inkling measured
LiveBench designNot measured58.3%Only Inkling measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index016
General benchmarks for GPT-4.1 Nano and Inkling
BenchmarkGPT-4.1 NanoInklingLeader
Vals IndexNot measured29.0%Only Inkling measured
LiveBench data analysisNot measured72.8%Only Inkling measured
Public Benefits Bench (Vals AI)Not measured58.5%Only Inkling measured
SAGE (Vals AI)Not measured36.5%Only Inkling measured
MedScribe (Vals AI)Not measured85.4%Only Inkling measured
Vals Multimodal IndexNot measured49.4%Only Inkling measured
IFBench32.0%Not measuredOnly GPT-4.1 Nano measured
Long context reasoning (AA-LCR)20.3%77.3%Inkling
DTBench52.5%87.5%Inkling
LMCA5.5%37.6%Inkling
Fiction.LiveBench25.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text12851442Inkling
LMArena Text: instruction following12661425Inkling
LMArena Text: creative writing12601390Inkling
LMArena Vision1063Not measuredOnly GPT-4.1 Nano measured
LMArena Text: English13031442Inkling
LMArena Text: non-English12601434Inkling
LMArena Text: Chinese12701493Inkling
LMArena Text: German12881445Inkling
LMArena Text: Japanese11981429Inkling
LMArena Text: KoreanNot measured1403Only Inkling measured
LMArena Text: FrenchNot measured1455Only Inkling measured
LMArena Text: SpanishNot measured1449Only Inkling measured
LMArena Text: Russian12611430Inkling
LMArena Text: PolishNot measured1450Only Inkling measured
LMArena Text: multi-turn12771437Inkling
LMArena Text: longer queries12831435Inkling
LMArena Text: writing and language12611404Inkling
LMArena Text: entertainment and media12431394Inkling
LMArena Vision: English1101Not measuredOnly GPT-4.1 Nano measured
EQ-Bench 4Not measured1226Only Inkling measured
Neither model has a result on the other 17 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 Inkling
BenchmarkGPT-4.1 NanoInklingLeader
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
Inkling$0.0030Fits 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
Inkling$0.062Fits 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
Inkling$0.240Fits 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 Nano and Inkling
SpecificationOpenAI GPT-4.1 NanoThinking Machines Inkling
MakerOpenAIThinking Machines
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025July 17, 2026
Context window1.05M524K
Input $/Mtok$0.10$1.00
Output $/Mtok$0.40$4.05
Coding indexNot benchmarked31.5
Independent measurements behind it06
Cost per solved taskNot computable$0.76
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano better than Inkling for coding?

Only Inkling has a coding score, 31.5 on the Vibe Coding Index; GPT-4.1 Nano has none, so the two cannot be ranked on coding. Pick GPT-4.1 Nano for output tokens 10.1x cheaper ($0.40 vs $4.05 per million) and a larger context window (1.05M against 524K tokens).

Which is cheaper, GPT-4.1 Nano or Inkling?

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; Inkling costs $1.00 and $4.05. Cost per solved task is known for Inkling only.

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

GPT-4.1 Nano, with 1.05M tokens against 524K.

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

53 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 Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.

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