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GPT-4.1 Nano vs Llama 4 Scout

GPT-4.1 Nano leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 7.8 to 6.5, and GPT-4.1 Nano costs 1.3x less per output token ($0.40 vs $0.50 per million). Updated October 22, 2026; 66 benchmarks have a result for both.

Replace GPT-4.1 Nano Replace Llama 4 Scout
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
36
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
28
vs boards won of 66 shared, 2 tied

GPT-4.1 Nano or Llama 4 Scout: 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 1.3x cheaper ($0.40 vs $0.50 per million) and work measured by Epoch Capabilities Index or MMMU Pro (Vals AI), where it leads.

Model AGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BLlama 4 ScoutMeta LlamaNot benchmarkedNo coding benchmark$1.276 per solved task
Shared results
66
GPT-4.1 Nano only
5
Llama 4 Scout only
16
Like-for-like categories
8 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, Llama 4 Scout not benchmarked.
Widest category
Web design, 18.7 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: websites: GPT-4.1 Nano 973 against Llama 4 Scout 750, 27.9 points apart on a 0 to 100 scale.
Output price
GPT-4.1 Nano $0.40 against Llama 4 Scout $0.50 per million output tokens, 1.3x apart.
Context window
GPT-4.1 Nano takes 1.05M tokens, Llama 4 Scout 1.31M.

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 NanoBarsLlama 4 ScoutTies
Coding60
Intelligence11
Agentic work20
Reasoning362 ties
Math63
Knowledge65
Web design41
General812
All shared boards36282 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for GPT-4.1 Nano and Llama 4 Scout
BenchmarkGPT-4.1 NanoLlama 4 ScoutLeader
Aider polyglot8.9%Not measuredOnly GPT-4.1 Nano measured
SWE-bench VerifiedNot measured9.1%Only Llama 4 Scout measured
AA Coding Index11.18.2GPT-4.1 Nano
LiveCodeBench (Vals AI)42.7%38.5%GPT-4.1 Nano
LiveCodeBench (Artificial Analysis run)32.6%29.9%GPT-4.1 Nano
SciCodeNot measured21.3%Only Llama 4 Scout measured
Terminal-Bench Hard (Artificial Analysis run)3.8%1.5%GPT-4.1 Nano
WeirdML19.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: coding13061286GPT-4.1 Nano
LMArena Text: software and IT13051286GPT-4.1 Nano
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GPT-4.1 Nano and Llama 4 Scout
BenchmarkGPT-4.1 NanoLlama 4 ScoutLeader
AA Intelligence Index7.86.5GPT-4.1 Nano
Epoch Capabilities Index129.5129.6Llama 4 Scout
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for GPT-4.1 Nano and Llama 4 Scout
BenchmarkGPT-4.1 NanoLlama 4 ScoutLeader
AA Agentic IndexNot measured0.5Only Llama 4 Scout measured
τ²-Bench Telecom17.3%15.5%GPT-4.1 Nano
Berkeley Function Calling Leaderboard (BFCL)33.1%28.1%GPT-4.1 Nano
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index36
Reasoning benchmarks for GPT-4.1 Nano and Llama 4 Scout
BenchmarkGPT-4.1 NanoLlama 4 ScoutLeader
GPQA Diamond50.8%47.0%GPT-4.1 Nano
MMMU Pro (Vals AI)55.0%58.8%Llama 4 Scout
GPQA Diamond (Artificial Analysis run)51.2%58.7%Llama 4 Scout
Humanity's Last Exam (Artificial Analysis run)3.8%3.8%Tie
GPQA Diamond (Epoch AI run)48.9%51.8%Llama 4 Scout
ARC-AGI0.0%0.5%Llama 4 Scout
ARC-AGI-20.0%0.0%Tie
Chess puzzles0.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: hard prompts12861266GPT-4.1 Nano
LMArena Text: expert12711235GPT-4.1 Nano
LMArena Text: hard prompts in English12931293Llama 4 Scout
LMArena Vision: diagramsNot measured1125Only Llama 4 Scout measured
LMArena Vision: homeworkNot measured1148Only Llama 4 Scout measured
Kagi LLM Benchmark33.3%36.9%Llama 4 Scout
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index63
Math benchmarks for GPT-4.1 Nano and Llama 4 Scout
BenchmarkGPT-4.1 NanoLlama 4 ScoutLeader
AIME26.5%19.0%GPT-4.1 Nano
MATH 500 (Vals AI)80.2%79.2%GPT-4.1 Nano
MGSM (Vals AI)69.3%88.0%Llama 4 Scout
AA Math Index24.014.0GPT-4.1 Nano
AIME 2025 (Artificial Analysis run)24.0%14.0%GPT-4.1 Nano
OTIS Mock AIME28.9%7.8%GPT-4.1 Nano
MATH level 570.0%62.3%GPT-4.1 Nano
LMArena Text: math12741287Llama 4 Scout
LMArena Text: mathematical work12741286Llama 4 Scout
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index65
Knowledge benchmarks for GPT-4.1 Nano and Llama 4 Scout
BenchmarkGPT-4.1 NanoLlama 4 ScoutLeader
MMLU Pro63.5%69.6%Llama 4 Scout
LegalBench (Vals AI)61.1%72.0%Llama 4 Scout
CorpFin (Vals AI)42.1%46.8%Llama 4 Scout
TaxEval (Vals AI)60.8%55.2%GPT-4.1 Nano
MortgageTax (Vals AI)52.8%57.8%Llama 4 Scout
MedQA (Vals AI)68.2%50.9%GPT-4.1 Nano
MedCode (Vals AI)Not measured23.3%Only Llama 4 Scout measured
MMLU Pro (Artificial Analysis run)65.7%75.2%Llama 4 Scout
SimpleQA Verified6.0%Not measuredOnly GPT-4.1 Nano measured
LMArena Text: science12971278GPT-4.1 Nano
LMArena Text: medicine and healthcare12761275GPT-4.1 Nano
LMArena Text: legal and government13001285GPT-4.1 Nano
LMArena Text: business and finance12671257GPT-4.1 Nano
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index41
Web design benchmarks for GPT-4.1 Nano and Llama 4 Scout
BenchmarkGPT-4.1 NanoLlama 4 ScoutLeader
Design Arena: websites973750GPT-4.1 Nano
Design Arena: UI components913765GPT-4.1 Nano
Design Arena: game dev970772GPT-4.1 Nano
Design Arena: data viz891896Llama 4 Scout
Design Arena: 3D924Not measuredOnly GPT-4.1 Nano measured
Design Arena: all code categories962789GPT-4.1 Nano
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index812
General benchmarks for GPT-4.1 Nano and Llama 4 Scout
BenchmarkGPT-4.1 NanoLlama 4 ScoutLeader
SAGE (Vals AI)Not measured34.8%Only Llama 4 Scout measured
MedScribe (Vals AI)Not measured50.6%Only Llama 4 Scout measured
IFBench32.0%39.5%Llama 4 Scout
Long context reasoning (AA-LCR)20.3%27.7%Llama 4 Scout
DTBench52.5%57.9%Llama 4 Scout
LMCA5.5%12.0%Llama 4 Scout
Fiction.LiveBench25.0%36.0%Llama 4 Scout
LMArena Text12851279GPT-4.1 Nano
LMArena Text: instruction following12661248GPT-4.1 Nano
LMArena Text: creative writing12601249GPT-4.1 Nano
LMArena Vision10631118Llama 4 Scout
LMArena Text: English13031304Llama 4 Scout
LMArena Text: non-English12601252GPT-4.1 Nano
LMArena Text: Chinese12701255GPT-4.1 Nano
LMArena Text: German12881273GPT-4.1 Nano
LMArena Text: Japanese11981206Llama 4 Scout
LMArena Text: KoreanNot measured1207Only Llama 4 Scout measured
LMArena Text: FrenchNot measured1283Only Llama 4 Scout measured
LMArena Text: SpanishNot measured1278Only Llama 4 Scout measured
LMArena Text: Russian12611263Llama 4 Scout
LMArena Text: PolishNot measured1265Only Llama 4 Scout measured
LMArena Text: multi-turn12771280Llama 4 Scout
LMArena Text: longer queries12831265GPT-4.1 Nano
LMArena Text: writing and language12611269Llama 4 Scout
LMArena Text: entertainment and media12431242GPT-4.1 Nano
LMArena Vision: English11011143Llama 4 Scout
LMArena Vision: ChineseNot measured1106Only Llama 4 Scout measured
LMArena Vision: reading textNot measured1117Only Llama 4 Scout measured
LMArena Vision: humorNot measured1102Only Llama 4 Scout measured
LMArena Vision: creative writingNot measured1126Only Llama 4 Scout 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 Nano and Llama 4 Scout
BenchmarkGPT-4.1 NanoLlama 4 ScoutLeader
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
Llama 4 Scout$0.0004Fits 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
Llama 4 Scout$0.010Fits 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
Llama 4 Scout$0.040Fits 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 Llama 4 Scout
SpecificationOpenAI GPT-4.1 NanoMeta Llama 4 Scout
MakerOpenAIMeta Llama
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025April 5, 2025
Context window1.05M1.31M
Input $/Mtok$0.10$0.175
Output $/Mtok$0.40$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 Nano better than Llama 4 Scout 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 1.3x cheaper ($0.40 vs $0.50 per million) and work measured by Epoch Capabilities Index or MMMU Pro (Vals AI), where it leads.

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

GPT-4.1 Nano costs $0.10 per million input tokens and $0.40 per million output tokens; Llama 4 Scout costs $0.175 and $0.50. Cost per solved task is known for Llama 4 Scout only.

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

Llama 4 Scout, with 1.31M tokens against 1.05M.

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

66 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 Llama 4 Scout's on 0. Where only one model has a result, the page says so instead of naming a winner.

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