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Meta AI · Llama
No. 19
Llama 4 Scout
Ultra-long 10M-token context, efficient single-GPU open model.
Field notes
- Context window
- 10Mtokens
- Max output
- 16Ktokens
- Input price
- $0.10/ 1M tokens
- Output price
- $0.30/ 1M tokens
- Modalities
- Text, Image
- Knowledge cutoff
- Aug 2024
- Released
- Apr 2025
- Parameters
- 109B
- License
- Llama 4 Community License
- Approx. speed
- —
Overview
What this model is
Llama 4 Scout is the smaller, faster member of the Llama 4 herd (109B-total / 17B-active MoE) that fits on a single high-end GPU and ships a headline 10M-token context window. It is ideal for cheap long-document and retrieval workloads, though effective reasoning quality over the full window is far below the nominal length. A pragmatic open model for scale, not for hard agentic work.
Strengths
- Industry-leading 10M-token context window
- Runs on a single GPU / very cheap
- Open weights and fine-tunable
- Fast throughput for its class
Trade-offs
- Reasoning/coding well below the frontier
- Effective recall degrades long before 10M tokens
- Weak on autonomous agentic tasks
- Vision is basic
Best for
- Long-document summarization and RAG
- High-throughput cheap inference
- On-prem/self-hosted deployments
- Fine-tuning experiments
Not ideal for
- Agentic coding
- Complex multi-step reasoning
Capabilities
Capability profile
Normalized 0–100 scores, comparable across the whole catalog.
- Reasoning
- 58
- Coding
- 52
- Math
- 56
- Writing
- 66
- Knowledge
- 70
- Speed
- 88
- Agentic
- 50
- Vision
- 64
- Multilingual
- 76
- Long Context
- 82
Benchmarks
How it scores
Public benchmark results, with independent third-party results where available. Bars normalize percentages to 100 and Elo ratings to a 1500 ceiling.
Independent index
Artificial Analysis Intelligence Index
Composite of ~9–10 independent evals · Artificial Analysis
10/ 100
BenchmarkResult
Artificial Analysis Intelligence Indexindependent
GeneralArtificial Analysis
10%
τ-benchindependent
Agenticτ-bench
62.3%
MMLU-Pro
KnowledgeVendor-reported
74.3%
GPQA Diamondindependent
ReasoningIndependent aggregators
57.2%
MMMU
VisionVendor-reported
69.4%