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GPT-4.1 vs Llama 4 Scout

Updated October 21, 2026. 74 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4.1 Replace Llama 4 Scout
GPT-4.1OpenAI
Coding
46.5
Overall
12.7
Output $/M
$8.00
73
Llama 4 ScoutMeta Llama
Coding
9.1
Overall
6.5
Output $/M
$0.30
1
vs boards won of 74 shared

Decision reading

Pick GPT-4.1 for coding: it scores 46.5 on the Vibe Coding Index against 9.1 for Llama 4 Scout.

Pick Llama 4 Scout when output tokens cost 26.7x less, or when the context window is larger, 1.31M against 1.05M tokens.

Model AGPT-4.1OpenAI46.5/1002 independent benchmarks$0.37 per solved taskModel BLlama 4 ScoutMeta Llama9.1/1001 independent benchmark$1.276 per solved task
Shared results
74
GPT-4.1 only
13
Llama 4 Scout only
6
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, Llama 4 Scout 9.1 from 1 benchmark.
Widest category
Web design, 31.8 points apart on average over 5 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): GPT-4.1 68.3% against Llama 4 Scout 27.7%, 40.6 points apart on a 0 to 100 scale.
Output price
GPT-4.1 $8.00 against Llama 4 Scout $0.30 per million output tokens, 26.7x apart.
Context window
GPT-4.1 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-4.1BarsLlama 4 ScoutTies
Coding60
Intelligence20
Agentic work10
Reasoning120
Math81
Knowledge110
Web design50
General280
All shared boards731
CodingLike-for-likeFour of these boards feed the Vibe Coding Index60
Coding benchmarks for GPT-4.1 and Llama 4 Scout
BenchmarkGPT-4.1Llama 4 ScoutLeader
Aider polyglot52.4%Not measuredOnly GPT-4.1 measured
SWE-bench Verified39.6%9.1%GPT-4.1
SWE-bench Multimodal31.1%Not measuredOnly GPT-4.1 measured
AA Coding IndexNot measured8.2Only Llama 4 Scout measured
LiveCodeBench (Vals AI)54.7%38.5%GPT-4.1
LiveCodeBench (Artificial Analysis run)45.7%29.9%GPT-4.1
SciCodeNot measured21.3%Only Llama 4 Scout measured
Terminal-Bench Hard (Artificial Analysis run)13.6%1.5%GPT-4.1
WeirdML39.0%Not measuredOnly GPT-4.1 measured
ALE-Bench558.1Not measuredOnly GPT-4.1 measured
LMArena Text: coding13901286GPT-4.1
LMArena Text: software and IT13911286GPT-4.1
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-4.1 and Llama 4 Scout
BenchmarkGPT-4.1Llama 4 ScoutLeader
AA Intelligence Index12.76.5GPT-4.1
Epoch Capabilities Index136.7129.6GPT-4.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-4.1 and Llama 4 Scout
BenchmarkGPT-4.1Llama 4 ScoutLeader
AA Agentic IndexNot measured0.5Only Llama 4 Scout measured
τ²-Bench Telecom47.1%15.5%GPT-4.1
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for GPT-4.1 and Llama 4 Scout
BenchmarkGPT-4.1Llama 4 ScoutLeader
GPQA Diamond65.4%47.0%GPT-4.1
MMMU Pro (Vals AI)72.4%58.8%GPT-4.1
GPQA Diamond (Artificial Analysis run)66.6%58.7%GPT-4.1
Humanity's Last Exam (Artificial Analysis run)4.2%3.8%GPT-4.1
GPQA Diamond (Epoch AI run)66.9%51.8%GPT-4.1
ARC-AGI5.5%0.5%GPT-4.1
ARC-AGI-20.4%0.0%GPT-4.1
SimpleBench27.0%Not measuredOnly GPT-4.1 measured
Chess puzzles3.0%Not measuredOnly GPT-4.1 measured
LMArena Text: hard prompts13841266GPT-4.1
LMArena Text: expert13641235GPT-4.1
LMArena Text: hard prompts in English13931293GPT-4.1
LMArena Vision: diagrams12151125GPT-4.1
LMArena Vision: homework12481148GPT-4.1
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index81
Math benchmarks for GPT-4.1 and Llama 4 Scout
BenchmarkGPT-4.1Llama 4 ScoutLeader
AIME39.6%19.0%GPT-4.1
MATH 500 (Vals AI)87.2%79.2%GPT-4.1
MGSM (Vals AI)87.7%88.0%Llama 4 Scout
AA Math Index34.714.0GPT-4.1
AIME 2025 (Artificial Analysis run)34.7%14.0%GPT-4.1
OTIS Mock AIME38.3%7.8%GPT-4.1
FrontierMath, tiers 1 to 36.0%Not measuredOnly GPT-4.1 measured
MATH level 583.0%62.3%GPT-4.1
LMArena Text: math13691287GPT-4.1
LMArena Text: mathematical work13601286GPT-4.1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for GPT-4.1 and Llama 4 Scout
BenchmarkGPT-4.1Llama 4 ScoutLeader
MMLU Pro80.5%69.6%GPT-4.1
LegalBench (Vals AI)83.1%72.0%GPT-4.1
CaseLaw (Vals AI)69.9%Not measuredOnly GPT-4.1 measured
CorpFin (Vals AI)63.0%46.8%GPT-4.1
TaxEval (Vals AI)75.1%55.2%GPT-4.1
MortgageTax (Vals AI)65.9%57.8%GPT-4.1
MedQA (Vals AI)91.2%50.9%GPT-4.1
MedCode (Vals AI)Not measured23.3%Only Llama 4 Scout measured
MMLU Pro (Artificial Analysis run)80.6%75.2%GPT-4.1
SimpleQA Verified31.1%Not measuredOnly GPT-4.1 measured
GeoBench72.0%Not measuredOnly GPT-4.1 measured
LMArena Text: science13821278GPT-4.1
LMArena Text: medicine and healthcare13791275GPT-4.1
LMArena Text: legal and government13991285GPT-4.1
LMArena Text: business and finance13691257GPT-4.1
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for GPT-4.1 and Llama 4 Scout
BenchmarkGPT-4.1Llama 4 ScoutLeader
Design Arena: websites1039750GPT-4.1
Design Arena: UI components1000767GPT-4.1
Design Arena: game dev1080773GPT-4.1
Design Arena: data viz1104896GPT-4.1
Design Arena: 3D850Not measuredOnly GPT-4.1 measured
Design Arena: all code categories1026790GPT-4.1
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index280
General benchmarks for GPT-4.1 and Llama 4 Scout
BenchmarkGPT-4.1Llama 4 ScoutLeader
SAGE (Vals AI)Not measured34.8%Only Llama 4 Scout measured
MedScribe (Vals AI)Not measured50.6%Only Llama 4 Scout measured
IFBench43.0%39.5%GPT-4.1
Long context reasoning (AA-LCR)68.3%27.7%GPT-4.1
DTBench68.3%57.9%GPT-4.1
LMCA25.6%12.0%GPT-4.1
Fiction.LiveBench63.9%36.0%GPT-4.1
LMArena Text13831279GPT-4.1
LMArena Text: instruction following13671248GPT-4.1
LMArena Text: creative writing13631249GPT-4.1
LMArena Vision12101118GPT-4.1
LMArena Text: English13921304GPT-4.1
LMArena Text: non-English13701252GPT-4.1
LMArena Text: Chinese13821255GPT-4.1
LMArena Text: German13811273GPT-4.1
LMArena Text: Japanese13191206GPT-4.1
LMArena Text: Korean13381207GPT-4.1
LMArena Text: French13821283GPT-4.1
LMArena Text: Spanish13761278GPT-4.1
LMArena Text: Russian13771263GPT-4.1
LMArena Text: Polish13891265GPT-4.1
LMArena Text: multi-turn13971280GPT-4.1
LMArena Text: longer queries13851265GPT-4.1
LMArena Text: writing and language13711269GPT-4.1
LMArena Text: entertainment and media13651242GPT-4.1
LMArena Vision: English12091143GPT-4.1
LMArena Vision: Chinese12261106GPT-4.1
LMArena Vision: reading text12181117GPT-4.1
LMArena Vision: humor11961102GPT-4.1
LMArena Vision: captioning1207Not measuredOnly GPT-4.1 measured
LMArena Vision: recognizing things1208Not measuredOnly GPT-4.1 measured
LMArena Vision: creative writing12101126GPT-4.1
Neither model has a result on the other 14 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 Llama 4 Scout
BenchmarkGPT-4.1Llama 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$0.0060Fits in one request
Llama 4 Scout$0.0003Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

GPT-4.1$0.124Fits in one request
Llama 4 Scout$0.0059Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

GPT-4.1$0.480Fits in one request
Llama 4 Scout$0.023Fits in one request

Llama 4 Scout 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 Llama 4 Scout
SpecificationOpenAI GPT-4.1Meta Llama 4 Scout
MakerOpenAIMeta Llama
WeightsNo public weights listedOpen weights
ReleasedApril 14, 2025April 5, 2025
Context window1.05M1.31M
Input $/Mtok$2.00$0.10
Output $/Mtok$8.00$0.30
Coding index46.59.1
Independent measurements behind it21
Cost per solved task$0.37$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4.1 better than Llama 4 Scout for coding?

Pick GPT-4.1 for coding: it scores 46.5 on the Vibe Coding Index against 9.1 for Llama 4 Scout. Pick Llama 4 Scout when output tokens cost 26.7x less, or when the context window is larger, 1.31M against 1.05M tokens.

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

GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; Llama 4 Scout costs $0.10 and $0.30. Per solved SWE-bench Verified task, GPT-4.1 costs $0.37 and Llama 4 Scout $1.276.

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

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

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

74 benchmarks have a result for both models as of October 21, 2026. GPT-4.1's coding index rests on 2 independent benchmarks and Llama 4 Scout's on 1. Where only one model has a result, the page says so instead of naming a winner.

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