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GPT-5.1 vs Llama 4 Scout

Updated October 21, 2026. 75 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GPT-5.1OpenAI
Coding
53.3
Overall
24.7
Output $/M
$10.00
75
Llama 4 ScoutMeta Llama
Coding
9.1
Overall
6.5
Output $/M
$0.30
0
vs boards won of 75 shared

Decision reading

Pick GPT-5.1 for coding: it scores 53.3 on the Vibe Coding Index against 9.1 for Llama 4 Scout.

Pick Llama 4 Scout when output tokens cost 33.3x less, or when the context window is larger, 1.31M against 400K tokens.

Shared results
75
GPT-5.1 only
25
Llama 4 Scout only
5
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-5.1 53.3 from 2 benchmarks, Llama 4 Scout 9.1 from 1 benchmark.
Widest category
Agentic work, 66.4 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: GPT-5.1 88.6% against Llama 4 Scout 7.8%, 80.8 points apart on a 0 to 100 scale.
Output price
GPT-5.1 $10.00 against Llama 4 Scout $0.30 per million output tokens, 33.3x apart.
Context window
GPT-5.1 takes 400K 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-5.1BarsLlama 4 ScoutTies
Coding70
Intelligence20
Agentic work10
Reasoning120
Math70
Knowledge120
Web design50
General290
All shared boards750
CodingLike-for-likeFour of these boards feed the Vibe Coding Index70
Coding benchmarks for GPT-5.1 and Llama 4 Scout
BenchmarkGPT-5.1Llama 4 ScoutLeader
SWE-bench Verified66.0%9.1%GPT-5.1
LMArena WebDev1396Not measuredOnly GPT-5.1 measured
AA Coding Index49.48.2GPT-5.1
LiveCodeBench (Vals AI)86.5%38.5%GPT-5.1
SWE-bench Verified (Vals AI)69.8%Not measuredOnly GPT-5.1 measured
Vibe Code Bench (Vals AI)24.6%Not measuredOnly GPT-5.1 measured
LiveCodeBench (Artificial Analysis run)86.8%29.9%GPT-5.1
SciCodeNot measured21.3%Only Llama 4 Scout measured
Terminal-Bench Hard (Artificial Analysis run)45.5%1.5%GPT-5.1
Terminal-Bench47.6%Not measuredOnly GPT-5.1 measured
GSO-Bench13.7%Not measuredOnly GPT-5.1 measured
WeirdML60.8%Not measuredOnly GPT-5.1 measured
LMArena Text: coding14531286GPT-5.1
LMArena Text: software and IT14541286GPT-5.1
LMArena WebDev: React1307Not measuredOnly GPT-5.1 measured
LMArena WebDev: HTML1405Not measuredOnly GPT-5.1 measured
LMArena WebDev: from an image1421Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5.1 and Llama 4 Scout
BenchmarkGPT-5.1Llama 4 ScoutLeader
AA Intelligence Index24.76.5GPT-5.1
Epoch Capabilities Index149.8129.6GPT-5.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-5.1 and Llama 4 Scout
BenchmarkGPT-5.1Llama 4 ScoutLeader
AA Agentic IndexNot measured0.5Only Llama 4 Scout measured
τ²-Bench Telecom81.9%15.5%GPT-5.1
DeepResearch Bench42.8%Not measuredOnly GPT-5.1 measured
Vending-Bench 2$1,473Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for GPT-5.1 and Llama 4 Scout
BenchmarkGPT-5.1Llama 4 ScoutLeader
GPQA Diamond86.6%47.0%GPT-5.1
MMMU Pro (Vals AI)83.2%58.8%GPT-5.1
GPQA Diamond (Artificial Analysis run)87.3%58.7%GPT-5.1
Humanity's Last Exam (Artificial Analysis run)28.5%3.8%GPT-5.1
GPQA Diamond (Epoch AI run)87.6%51.8%GPT-5.1
ARC-AGI72.8%0.5%GPT-5.1
ARC-AGI-217.6%0.0%GPT-5.1
SimpleBench53.2%Not measuredOnly GPT-5.1 measured
Chess puzzles42.0%Not measuredOnly GPT-5.1 measured
Mystery game puzzles19.0%Not measuredOnly GPT-5.1 measured
VPCT58.7%Not measuredOnly GPT-5.1 measured
LMArena Text: hard prompts14571266GPT-5.1
LMArena Text: expert14701235GPT-5.1
LMArena Text: hard prompts in English14621293GPT-5.1
LMArena Vision: diagrams12641125GPT-5.1
LMArena Vision: homework12721148GPT-5.1
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index70
Math benchmarks for GPT-5.1 and Llama 4 Scout
BenchmarkGPT-5.1Llama 4 ScoutLeader
AIME93.3%19.0%GPT-5.1
MATH 500 (Vals AI)Not measured79.2%Only Llama 4 Scout measured
MGSM (Vals AI)93.0%88.0%GPT-5.1
AA Math Index94.014.0GPT-5.1
AIME 2025 (Artificial Analysis run)94.0%14.0%GPT-5.1
OTIS Mock AIME88.6%7.8%GPT-5.1
MATH level 5Not measured62.3%Only Llama 4 Scout measured
LMArena Text: math14461287GPT-5.1
LMArena Text: mathematical work14491286GPT-5.1
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index120
Knowledge benchmarks for GPT-5.1 and Llama 4 Scout
BenchmarkGPT-5.1Llama 4 ScoutLeader
MMLU Pro86.4%69.6%GPT-5.1
LegalBench (Vals AI)85.7%72.0%GPT-5.1
CaseLaw (Vals AI)73.4%Not measuredOnly GPT-5.1 measured
CorpFin (Vals AI)63.8%46.8%GPT-5.1
TaxEval (Vals AI)74.9%55.2%GPT-5.1
MortgageTax (Vals AI)61.4%57.8%GPT-5.1
MedQA (Vals AI)96.4%50.9%GPT-5.1
MedCode (Vals AI)52.7%23.3%GPT-5.1
MMLU Pro (Artificial Analysis run)87.0%75.2%GPT-5.1
SimpleQA Verified48.0%Not measuredOnly GPT-5.1 measured
LMArena Text: science14591278GPT-5.1
LMArena Text: medicine and healthcare14561275GPT-5.1
LMArena Text: legal and government14591285GPT-5.1
LMArena Text: business and finance14311257GPT-5.1
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for GPT-5.1 and Llama 4 Scout
BenchmarkGPT-5.1Llama 4 ScoutLeader
Design Arena: websites1187750GPT-5.1
Design Arena: UI components1166767GPT-5.1
Design Arena: game dev1179773GPT-5.1
Design Arena: data viz1204896GPT-5.1
Design Arena: 3D1061Not measuredOnly GPT-5.1 measured
Design Arena: all code categories1171790GPT-5.1
Design Arena: SVG1149Not measuredOnly GPT-5.1 measured
Design Arena: ASCII art1118Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index290
General benchmarks for GPT-5.1 and Llama 4 Scout
BenchmarkGPT-5.1Llama 4 ScoutLeader
SAGE (Vals AI)43.2%34.8%GPT-5.1
MedScribe (Vals AI)88.1%50.6%GPT-5.1
IFBench72.9%39.5%GPT-5.1
Long context reasoning (AA-LCR)80.0%27.7%GPT-5.1
DTBench90.1%57.9%GPT-5.1
LMCA43.9%12.0%GPT-5.1
Fiction.LiveBenchNot measured36.0%Only Llama 4 Scout measured
CL-bench23.7%Not measuredOnly GPT-5.1 measured
CL-bench Life17.3%Not measuredOnly GPT-5.1 measured
LMArena Text14431279GPT-5.1
LMArena Text: instruction following14431248GPT-5.1
LMArena Text: creative writing14271249GPT-5.1
LMArena Vision12501118GPT-5.1
LMArena Text: English14511304GPT-5.1
LMArena Text: non-English14311252GPT-5.1
LMArena Text: Chinese14951255GPT-5.1
LMArena Text: German14381273GPT-5.1
LMArena Text: Japanese14531206GPT-5.1
LMArena Text: Korean14011207GPT-5.1
LMArena Text: French14501283GPT-5.1
LMArena Text: Spanish14331278GPT-5.1
LMArena Text: Russian14351263GPT-5.1
LMArena Text: Polish14401265GPT-5.1
LMArena Text: multi-turn14501280GPT-5.1
LMArena Text: longer queries14481265GPT-5.1
LMArena Text: writing and language14281269GPT-5.1
LMArena Text: entertainment and media14151242GPT-5.1
LMArena Vision: English12521143GPT-5.1
LMArena Vision: Chinese12701106GPT-5.1
LMArena Vision: reading text12551117GPT-5.1
LMArena Vision: humor12631102GPT-5.1
LMArena Vision: captioning1252Not measuredOnly GPT-5.1 measured
LMArena Vision: recognizing things1232Not measuredOnly GPT-5.1 measured
LMArena Vision: creative writing12661126GPT-5.1
LMArena Document1403Not measuredOnly GPT-5.1 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.1 and Llama 4 Scout
BenchmarkGPT-5.1Llama 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-5.1$0.0063Fits in one request
Llama 4 Scout$0.0003Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

GPT-5.1$0.092Fits in one request
Llama 4 Scout$0.0059Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

GPT-5.1$0.350Fits 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-5.1 and Llama 4 Scout
SpecificationOpenAI GPT-5.1Meta Llama 4 Scout
MakerOpenAIMeta Llama
WeightsNo public weights listedOpen weights
ReleasedNovember 13, 2025April 5, 2025
Context window400K1.31M
Input $/Mtok$1.25$0.10
Output $/Mtok$10.00$0.30
Coding index53.39.1
Independent measurements behind it21
Cost per solved task$1.02$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.1 better than Llama 4 Scout for coding?

Pick GPT-5.1 for coding: it scores 53.3 on the Vibe Coding Index against 9.1 for Llama 4 Scout. Pick Llama 4 Scout when output tokens cost 33.3x less, or when the context window is larger, 1.31M against 400K tokens.

Which is cheaper, GPT-5.1 or Llama 4 Scout?

GPT-5.1 costs $1.25 per million input tokens and $10.00 per million output tokens; Llama 4 Scout costs $0.10 and $0.30. Per solved SWE-bench Verified task, GPT-5.1 costs $1.02 and Llama 4 Scout $1.276.

Which has the bigger context window, GPT-5.1 or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 400K.

How many benchmarks is the GPT-5.1 vs Llama 4 Scout comparison based on?

75 benchmarks have a result for both models as of October 21, 2026. GPT-5.1'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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