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GPT-4o (2024-08-06) vs Llama 4 Scout

Updated October 21, 2026. 51 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-4o (2024-08-06) Replace Llama 4 Scout
GPT-4o (2024-08-06)OpenAI
Coding
23.1
Overall
7.7
Output $/M
$10.00
23
Llama 4 ScoutMeta Llama
Coding
9.1
Overall
6.5
Output $/M
$0.30
28
vs boards won of 51 shared

Decision reading

Pick GPT-4o (2024-08-06) for coding: it scores 23.1 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 128K tokens.

Model AGPT-4o (2024-08-06)OpenAI23.1/1001 independent benchmarkNo cost per solved taskModel BLlama 4 ScoutMeta Llama9.1/1001 independent benchmark$1.276 per solved task
Shared results
51
GPT-4o (2024-08-06) only
7
Llama 4 Scout only
29
Like-for-like categories
7 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-4o (2024-08-06) 23.1 from 1 benchmark, Llama 4 Scout 9.1 from 1 benchmark.
Widest category
Agentic work, 13.5 points apart on average over 1 shared benchmark.
Widest single gap
MedQA (Vals AI): GPT-4o (2024-08-06) 88.2% against Llama 4 Scout 50.9%, 37.3 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against Llama 4 Scout $0.30 per million output tokens, 33.3x apart.
Context window
GPT-4o (2024-08-06) takes 128K 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-4o (2024-08-06)BarsLlama 4 ScoutTies
Coding22
Intelligence10
Agentic work10
Reasoning25
Math16
Knowledge55
General1110
All shared boards2328
CodingLike-for-likeFour of these boards feed the Vibe Coding Index22
Coding benchmarks for GPT-4o (2024-08-06) and Llama 4 Scout
BenchmarkGPT-4o (2024-08-06)Llama 4 ScoutLeader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench VerifiedNot measured9.1%Only Llama 4 Scout measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
AA Coding IndexNot measured8.2Only Llama 4 Scout measured
LiveCodeBench (Vals AI)Not measured38.5%Only Llama 4 Scout measured
LiveCodeBench (Artificial Analysis run)31.7%29.9%GPT-4o (2024-08-06)
SciCodeNot measured21.3%Only Llama 4 Scout measured
Terminal-Bench Hard (Artificial Analysis run)8.3%1.5%GPT-4o (2024-08-06)
LMArena Text: coding12831286Llama 4 Scout
LMArena Text: software and IT12781286Llama 4 Scout
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-4o (2024-08-06) and Llama 4 Scout
BenchmarkGPT-4o (2024-08-06)Llama 4 ScoutLeader
AA Intelligence Index7.76.5GPT-4o (2024-08-06)
Epoch Capabilities IndexNot measured129.6Only Llama 4 Scout measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GPT-4o (2024-08-06) and Llama 4 Scout
BenchmarkGPT-4o (2024-08-06)Llama 4 ScoutLeader
AA Agentic IndexNot measured0.5Only Llama 4 Scout measured
τ²-Bench Telecom28.9%15.5%GPT-4o (2024-08-06)
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index25
Reasoning benchmarks for GPT-4o (2024-08-06) and Llama 4 Scout
BenchmarkGPT-4o (2024-08-06)Llama 4 ScoutLeader
GPQA DiamondNot measured47.0%Only Llama 4 Scout measured
MMMU Pro (Vals AI)64.0%58.8%GPT-4o (2024-08-06)
GPQA Diamond (Artificial Analysis run)52.1%58.7%Llama 4 Scout
Humanity's Last Exam (Artificial Analysis run)2.3%3.8%Llama 4 Scout
GPQA Diamond (Epoch AI run)49.2%51.8%Llama 4 Scout
ARC-AGINot measured0.5%Only Llama 4 Scout measured
ARC-AGI-2Not measured0.0%Only Llama 4 Scout measured
SimpleBench17.8%Not measuredOnly GPT-4o (2024-08-06) measured
Chess puzzles6.0%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: hard prompts12641266Llama 4 Scout
LMArena Text: expert12411235GPT-4o (2024-08-06)
LMArena Text: hard prompts in English12771293Llama 4 Scout
LMArena Vision: diagramsNot measured1125Only Llama 4 Scout measured
LMArena Vision: homeworkNot measured1148Only Llama 4 Scout measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index16
Math benchmarks for GPT-4o (2024-08-06) and Llama 4 Scout
BenchmarkGPT-4o (2024-08-06)Llama 4 ScoutLeader
AIME14.0%19.0%Llama 4 Scout
MATH 500 (Vals AI)75.2%79.2%Llama 4 Scout
MGSM (Vals AI)90.7%88.0%GPT-4o (2024-08-06)
AA Math IndexNot measured14.0Only Llama 4 Scout measured
AIME 2025 (Artificial Analysis run)Not measured14.0%Only Llama 4 Scout measured
OTIS Mock AIME6.4%7.8%Llama 4 Scout
FrontierMath, tiers 1 to 30.4%Not measuredOnly GPT-4o (2024-08-06) measured
MATH level 553.3%62.3%Llama 4 Scout
LMArena Text: math12851287Llama 4 Scout
LMArena Text: mathematical work12831286Llama 4 Scout
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index55
Knowledge benchmarks for GPT-4o (2024-08-06) and Llama 4 Scout
BenchmarkGPT-4o (2024-08-06)Llama 4 ScoutLeader
MMLU Pro74.1%69.6%GPT-4o (2024-08-06)
LegalBench (Vals AI)80.1%72.0%GPT-4o (2024-08-06)
CorpFin (Vals AI)39.4%46.8%Llama 4 Scout
TaxEval (Vals AI)71.1%55.2%GPT-4o (2024-08-06)
MortgageTax (Vals AI)61.0%57.8%GPT-4o (2024-08-06)
MedQA (Vals AI)88.2%50.9%GPT-4o (2024-08-06)
MedCode (Vals AI)Not measured23.3%Only Llama 4 Scout measured
MMLU Pro (Artificial Analysis run)Not measured75.2%Only Llama 4 Scout measured
SimpleQA Verified26.0%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science12741278Llama 4 Scout
LMArena Text: medicine and healthcare12521275Llama 4 Scout
LMArena Text: legal and government12751285Llama 4 Scout
LMArena Text: business and finance12321257Llama 4 Scout
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and Llama 4 Scout
BenchmarkGPT-4o (2024-08-06)Llama 4 ScoutLeader
Design Arena: websitesNot measured750Only Llama 4 Scout measured
Design Arena: UI componentsNot measured767Only Llama 4 Scout measured
Design Arena: game devNot measured773Only Llama 4 Scout measured
Design Arena: data vizNot measured896Only Llama 4 Scout measured
Design Arena: all code categoriesNot measured790Only Llama 4 Scout measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index1110
General benchmarks for GPT-4o (2024-08-06) and Llama 4 Scout
BenchmarkGPT-4o (2024-08-06)Llama 4 ScoutLeader
SAGE (Vals AI)Not measured34.8%Only Llama 4 Scout measured
MedScribe (Vals AI)Not measured50.6%Only Llama 4 Scout measured
IFBench36.0%39.5%Llama 4 Scout
Long context reasoning (AA-LCR)41.0%27.7%GPT-4o (2024-08-06)
DTBenchNot measured57.9%Only Llama 4 Scout measured
LMCANot measured12.0%Only Llama 4 Scout measured
Fiction.LiveBenchNot measured36.0%Only Llama 4 Scout measured
LMArena Text12831279GPT-4o (2024-08-06)
LMArena Text: instruction following12671248GPT-4o (2024-08-06)
LMArena Text: creative writing12741249GPT-4o (2024-08-06)
LMArena Vision10651118Llama 4 Scout
LMArena Text: English12971304Llama 4 Scout
LMArena Text: non-English12621252GPT-4o (2024-08-06)
LMArena Text: Chinese12541255Llama 4 Scout
LMArena Text: German12571273Llama 4 Scout
LMArena Text: Japanese12341206GPT-4o (2024-08-06)
LMArena Text: Korean12181207GPT-4o (2024-08-06)
LMArena Text: French12631283Llama 4 Scout
LMArena Text: Spanish12691278Llama 4 Scout
LMArena Text: Russian12721263GPT-4o (2024-08-06)
LMArena Text: PolishNot measured1265Only Llama 4 Scout measured
LMArena Text: multi-turn12791280Llama 4 Scout
LMArena Text: longer queries12831265GPT-4o (2024-08-06)
LMArena Text: writing and language12901269GPT-4o (2024-08-06)
LMArena Text: entertainment and media12671242GPT-4o (2024-08-06)
LMArena Vision: English10721143Llama 4 Scout
LMArena Vision: Chinese10091106Llama 4 Scout
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-4o (2024-08-06) and Llama 4 Scout
BenchmarkGPT-4o (2024-08-06)Llama 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-4o (2024-08-06)$0.0075Fits in one request
Llama 4 Scout$0.0003Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
Llama 4 Scout$0.0059Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds the context window
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-4o (2024-08-06) and Llama 4 Scout
SpecificationOpenAI GPT-4o (2024-08-06)Meta Llama 4 Scout
MakerOpenAIMeta Llama
WeightsNo public weights listedOpen weights
ReleasedAugust 6, 2024April 5, 2025
Context window128K1.31M
Input $/Mtok$2.50$0.10
Output $/Mtok$10.00$0.30
Coding index23.19.1
Independent measurements behind it11
Cost per solved taskNot computable$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than Llama 4 Scout for coding?

Pick GPT-4o (2024-08-06) for coding: it scores 23.1 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 128K tokens.

Which is cheaper, GPT-4o (2024-08-06) or Llama 4 Scout?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; Llama 4 Scout costs $0.10 and $0.30. Cost per solved task is known for Llama 4 Scout only.

Which has the bigger context window, GPT-4o (2024-08-06) or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 128K.

How many benchmarks is the GPT-4o (2024-08-06) vs Llama 4 Scout comparison based on?

51 benchmarks have a result for both models as of October 21, 2026. GPT-4o (2024-08-06)'s coding index rests on 1 independent benchmark 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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