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Llama 4 Scout

Llama 4 · Released 2026-04-05

Meta's long-context Llama 4 MoE. 10M token window, 17B active / 109B total params. Open weights for codebase-scale RAG and document mining.

Self-hosted route when you need entire repos or document libraries in one pass — not for lowest-latency chat.

Composite28
Context10M
Input / 1M$0.08
Output / 1M$0.30
Knowledge cutoff2024-08-01
Output speed67 t/s
Statussolid

Family profile

Best published score in each covered benchmark family.

36/100 avg
Reasoning
59
Coding
21
Long context
28

3 tested benchmark families

Benchmark placements

Where Llama 4 Scout places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.

BenchmarkFamilyRankScoreSourceDate
AA output speedPerformance#89/ 195Artificial Analysis2026-10-12
SciCodeCoding#97/ 9721Artificial Analysis2026-09-28
AA-LCRLong context#174/ 18428Artificial Analysis2026-09-28
GPQA DiamondReasoning#174/ 18459Artificial Analysis2026-09-28
Humanity's Last ExamReasoning#185/ 1864Artificial Analysis2026-09-28
Family context

The three highest-scoring models with pages in each capability family. Where Llama 4 Scout shows up, it's highlighted.

ReasoningLlama 4 Scout · 59
  1. 1
    GPT-6 Astra
    96
  2. 2
    Claude Mythos Preview
    95
  3. 3
    Gemini 3.7 Flash
    95
Long contextLlama 4 Scout · 28
  1. 1
    Kimi K3
    89
  2. 2
    MiMo-V2.6-Pro
    86
  3. 3
    Claude Fable 5.1
    85
Newest receipts

Benchmark rows added to the public ledger for Llama 4 Scout in the last 120 days. Older rows live in the full table below.

5 recent
BenchmarkFamilyScoreSourceDays ago
AA output speedPerformance67 t/sArtificial Analysis10
AA-LCRLong context27.7%Artificial Analysis24
GPQA DiamondReasoning58.7%Artificial Analysis24
Humanity's Last ExamReasoning3.8%Artificial Analysis24
SciCodeCoding21.3%Artificial Analysis24
Family coverage

A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.

Reasoning59
Coding21
Long context28
Price vs. performance
0255075100$0.10$0.30$1$3$10$30input USD / 1M tokens · log scale →← intelligence

Hover any dot for name, score, and input price. Keyboard: tab through the top twelve, or use the ranking below.

AnthropicOpenAIGoogleAlibabaMetaZhipuxAIDeepSeekMiniMaxXiaomiMoonshotOtherMeituanMistralNVIDIACohere

Full benchmark ledger

Every catalog benchmark for Llama 4 Scout. Scores link to the original source; gaps mean no public row exists yet.

5 sourced rows

5 of 13 catalog benchmarks have a sourced row for Llama 4 Scout.

Reasoning

Coding

Long context

Performance

Sources

Questions this model page answers

Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.

What is Llama 4 Scout?

Llama 4 Scout is a Meta model: Meta's long-context Llama 4 MoE. 10M token window, 17B active / 109B total params. Open weights for codebase-scale RAG and document mining.

What is Llama 4 Scout for?

Self-hosted route when you need entire repos or document libraries in one pass — not for lowest-latency chat.

What does Llama 4 Scout cost?

Llama 4 Scout lists $0.08 input and $0.30 output per 1M tokens. Pricing last checked 2026-06-09.

How large is the Llama 4 Scout context window?

Llama 4 Scout publishes a 10M token context window.

What is the VerdictPal status of Llama 4 Scout?

Llama 4 Scout carries Solid status on the model atlas.

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