AI Model Profile

Llama 4 Scout

Llama 4 Scout is a Meta Llama 4 mixture-of-experts model optimized for multimodal understanding, multilingual tasks, coding, tool-calling, and agentic systems.

Family
Llama 4
Release date
Unknown
Status
Current
Context window
10M tokens
Output limit
Text-only output
API
Unknown
Open weights
yes
Local/self-hosted
yes
Pricing
Open-weight model; inference cost depends on hardware, hosting provider, and deployment pattern.
Evidence state
Recheck due

Benchmark Caveat

Provider documentation and provider-published capability notes are directional, not universal rankings. Real results depend on prompts, tools, latency targets, pricing tier, safety filters, context length, and workload mix.

Best for

Candidate for open-weight and local/private evaluations where Llama 4 Scout hardware requirements fit.

Skip if

Skip if your team needs independently benchmarked performance claims or contractual guarantees not present in the official provider documentation.

Strengths

Official docs list multimodal input, coding, tool-calling, agentic use, and very large context.

Weaknesses

Hardware, quantization, and deployment choices strongly affect practicality and cost.

Agent suitability

Candidate for agentic systems based on official Llama 4 positioning.

Kingy AI take

Use this profile as a source-backed reference point, not a ranking. Re-check official provider docs before making production or budget decisions.

Verification & Sources

Evidence state
Recheck due
Source links
1
Freshness
Needs recheck: checked June 18, 2026
Last updated
June 29, 2026
What this evidence state means
Definition
The claim was previously checked, but its review window expired or a material change may have invalidated it.
Required provenance
The prior evidence and check date are retained, together with the expiry or change signal that triggered recheck.
Owner
Kingy freshness queue owner and assigned editorial reviewer
Freshness rule
This is already outside its freshness rule. It must not be presented as current until reviewed against current evidence.
Disputes and corrections
Use “Suggest a correction” on the record. Kingy editorial reviews the cited evidence, records material corrections, and changes or removes the state when it is not supported.

Key source checks

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Full Model Notes

Llama 4 Scout is a Meta Llama 4 mixture-of-experts model optimized for multimodal understanding, multilingual tasks, coding, tool-calling, and agentic systems.

Coding notes

Official docs list coding as an optimized task.

Reasoning notes

Evaluate reasoning quality locally before making claims.

Creative notes

Supports text plus image input according to official Llama docs.

Research notes

Candidate for long-context experiments where hardware and inference stack are controlled.

License notes

Open-weight model under Meta Llama terms; review official Meta Llama documentation and license before use or redistribution.

Hardware requirements

Official Llama docs note single-GPU inference for an INT4-quantized Scout variant on 1xH100 GPU.