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llmboard.aiCopyright 2026 llmboard.ai

Meta model product

Llama 4 Scout

Llama 4 Scout is a natively multimodal model from Meta that processes text and images.

Updated Oct 23, 2026. Default version: Llama 4 Scout

LLMBoard Score11.2Llama 4 Scout
Coverage100%11 benchmark families
Context window10MTokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Similar models
  • About
  • FAQ

Llama 4 Scout Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

Llama 4 Scout LLMBoard score breakdown

Llama 4 Scout Benchmark Results

Benchmark scores for Llama 4 Scout.

24 rows
Columns

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkTydiQAScore31.50%Rank02Participants2Percentile0.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkChartQAScore88.80%Rank05Participants26Percentile84.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkDocVQAScore94.40%Rank08Participants28Percentile74.07%EvidenceCEvaluatedOct 22, 2026
BenchmarkMGSMScore90.60%Rank08Participants31Percentile76.67%EvidenceCEvaluatedOct 22, 2026
BenchmarkMathVistaScore70.70%Rank15Participants40Percentile64.10%EvidenceCEvaluatedOct 22, 2026
BenchmarkMBPPScore67.80%Rank24Participants33Percentile28.13%EvidenceCEvaluatedOct 22, 2026
BenchmarkMMMUScore69.40%Rank37Participants66Percentile44.62%EvidenceCEvaluatedOct 22, 2026
BenchmarkMATHScore50.30%Rank55Participants71Percentile22.86%EvidenceCEvaluatedOct 22, 2026
BenchmarkLiveCodeBenchScore32.80%Rank62Participants76Percentile18.67%EvidenceCEvaluatedOct 22, 2026
BenchmarkMMLUScore79.60%Rank66Participants103Percentile36.27%EvidenceCEvaluatedOct 22, 2026
BenchmarkMMLU-ProScore74.30%Rank82Participants142Percentile42.55%EvidenceCEvaluatedOct 22, 2026
BenchmarkAA AIME 2025Score14.00%Rank85Participants96Percentile11.58%EvidenceBEvaluatedN/A
BenchmarkAA SciCode SubtasksScore21.30%Rank85Participants89Percentile4.55%EvidenceBEvaluatedN/A
BenchmarkLM Arena Vision Style ControlScore1,127.52 ratingRank96Participants113Percentile15.18%EvidenceAEvaluatedOct 19, 2026
BenchmarkLM Arena VisionScore1,118.36 ratingRank97Participants113Percentile14.29%EvidenceAEvaluatedOct 19, 2026
BenchmarkAA IFBenchScore39.52%Rank118Participants168Percentile29.94%EvidenceBEvaluatedN/A
BenchmarkAA LCR v1.1Score27.70%Rank151Participants193Percentile21.88%EvidenceBEvaluatedN/A
BenchmarkAA GPQA DiamondScore58.69%Rank160Participants199Percentile19.70%EvidenceBEvaluatedN/A
BenchmarkAA Omniscience AccuracyScore15.17%Rank167Participants201Percentile17.00%EvidenceBEvaluatedN/A
BenchmarkLM Arena Text Style ControlScore1,321.57 ratingRank178Participants218Percentile18.43%EvidenceAEvaluatedOct 20, 2026
BenchmarkGPQAScore57.20%Rank185Participants256Percentile27.84%EvidenceCEvaluatedOct 22, 2026
BenchmarkLM Arena TextScore1,279.25 ratingRank185Participants218Percentile15.21%EvidenceAEvaluatedOct 20, 2026
BenchmarkAA CritPtScore0.00%Rank185Participants200Percentile7.54%EvidenceBEvaluatedN/A
BenchmarkAA HLE Text No ToolsScore3.78%Rank185Participants200Percentile7.54%EvidenceBEvaluatedN/A

Llama 4 Scout Arena Results

Preference and agent-evaluation results for the default version.

30 of 76 rows
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Arena
Category
Rank
Rating / score
Votes
Observations
Result date
Arenavision style controlCategorycreative writingRank27Rating / score1,137.93Votes265ObservationsN/AResult dateJan 9, 2026
ArenavisionCategorycreative writingRank28Rating / score1,126.76Votes265ObservationsN/AResult dateJan 9, 2026
Arenavision style controlCategoryhumorRank73Rating / score1,101.30Votes191ObservationsN/AResult dateOct 19, 2026
ArenavisionCategoryhumorRank74Rating / score1,101.56Votes191ObservationsN/AResult dateOct 19, 2026
ArenavisionCategorycreative writing visionRank79Rating / score1,126.32Votes238ObservationsN/AResult dateOct 19, 2026
Arenavision style controlCategorycreative writing visionRank79Rating / score1,137.99Votes238ObservationsN/AResult dateOct 19, 2026
Arenavision style controlCategorychineseRank85Rating / score1,127.49Votes278ObservationsN/AResult dateOct 19, 2026
ArenavisionCategorychineseRank86Rating / score1,106.25Votes278ObservationsN/AResult dateOct 19, 2026
ArenavisionCategoryhomeworkRank87Rating / score1,148.06Votes477ObservationsN/AResult dateOct 19, 2026
ArenavisionCategorydiagramRank89Rating / score1,125.31Votes845ObservationsN/AResult dateOct 19, 2026
Arenavision style controlCategorydiagramRank89Rating / score1,151.26Votes845ObservationsN/AResult dateOct 19, 2026
Arenavision style controlCategoryhomeworkRank89Rating / score1,147.50Votes477ObservationsN/AResult dateOct 19, 2026
ArenavisionCategoryocrRank90Rating / score1,116.71Votes2,788ObservationsN/AResult dateOct 19, 2026
Arenavision style controlCategoryocrRank91Rating / score1,131.09Votes2,788ObservationsN/AResult dateOct 19, 2026
ArenavisionCategoryenglishRank95Rating / score1,143.29Votes3,098ObservationsN/AResult dateOct 19, 2026
Arenavision style controlCategoryenglishRank95Rating / score1,145.23Votes3,098ObservationsN/AResult dateOct 19, 2026
Arenavision style controlCategoryoverallRank96Rating / score1,127.52Votes6,446ObservationsN/AResult dateOct 19, 2026
ArenavisionCategoryoverallRank97Rating / score1,118.36Votes6,446ObservationsN/AResult dateOct 19, 2026
Arenatext style controlCategorypolishRank142Rating / score1,322.43Votes2,469ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryjapaneseRank144Rating / score1,258.64Votes764ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategorykoreanRank149Rating / score1,269.03Votes649ObservationsN/AResult dateOct 20, 2026
ArenatextCategorypolishRank151Rating / score1,265.05Votes2,469ObservationsN/AResult dateOct 20, 2026
ArenatextCategorykoreanRank152Rating / score1,207.07Votes649ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryjapaneseRank153Rating / score1,206.44Votes764ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategorygermanRank153Rating / score1,311.83Votes797ObservationsN/AResult dateOct 20, 2026
ArenatextCategorygermanRank155Rating / score1,272.65Votes797ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryfrenchRank158Rating / score1,282.71Votes427ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryspanishRank160Rating / score1,316.03Votes711ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryspanishRank161Rating / score1,278.02Votes711ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryfrenchRank162Rating / score1,325.44Votes427ObservationsN/AResult dateOct 20, 2026

Llama 4 Scout Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
From $0.08 input, $0.30 output per 1M via Helicone
Tracked offerings
3
3 rows
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Provider
Provider model ID
Region
Input / 1M
Output / 1M
Context
Updated
ProviderHeliconeProvider model IDllama-4-scoutRegionglobalInput / 1M$0.08Output / 1M$0.30Context131.1KUpdatedOct 23, 2026
ProviderNanoGPTProvider model IDmeta-llama/llama-4-scoutRegionglobalInput / 1M$0.085Output / 1M$0.46Context328KUpdatedOct 23, 2026
ProviderOpenRouterProvider model IDmeta-llama/llama-4-scoutRegionglobalInput / 1M$0.10Output / 1M$0.30Context1.3MUpdatedOct 23, 2026

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

Llama 4 Scout Runtime Performance

Provider-specific output speed and catalog latency for Llama 4 Scout. Runtime does not affect the capability score.

2 rows
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Provider
Output Speed
Catalog Latency
Max Input
Max Output
Updated
ProviderGroqOutput Speed776.10 tok/sCatalog Latency1.08 sMax Input10MMax Output10MUpdatedOct 23, 2026
ProviderDeepInfraOutput Speed76.10 tok/sCatalog Latency0.31 sMax Input10MMax Output10MUpdatedOct 23, 2026

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

Llama 4 Scout Specifications

Technical details for the model's default version.

Version
Llama 4 Scout
Released
Apr 5, 2025
Knowledge cutoff
Unknown
Parameters
109B
Context window
10M
Max output
10M
Inputs
image, text
Outputs
text
Open weights
Yes
License
Llama 4 Community License Agreement

Llama 4 Scout Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

1 row
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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionLlama 4 ScoutReleasedApr 5, 2025LLMBoard11.23Parameters109BContext10MMax output10MOpen weightsYesLicenseLlama 4 Community License Agreement

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Details

What is Llama 4 Scout?

Key information about Llama 4 Scout and its available data.

Llama 4 Scout is a 17 billion activated parameter (109B total) mixture-of-experts (MoE) model with 16 experts and a 10 million token context window. It supports conversational interaction, image analysis, and code generation.

Data as of 2026-10-22.

FAQ

Common questions about Llama 4 Scout.

When was Llama 4 Scout released?

Llama 4 Scout's default version was released on Apr 5, 2025.

How much does Llama 4 Scout cost?

No official standard PAYG price is currently available for Llama 4 Scout. The lowest tracked third-party offer starts at $0.08 input and $0.30 output via Helicone.

Who created Llama 4 Scout?

Llama 4 Scout was created by Meta.

What is the context window for Llama 4 Scout?

The default version has a 10M token context window.

Is Llama 4 Scout open weight?

Yes. The default version is marked as open weight under Llama 4 Community License Agreement.

How many API providers offer Llama 4 Scout?

3 provider offerings are linked to the default version.