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
Suggest a correction
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.
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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.
Official Model Links
Model Intelligence Research Map
Use these internal paths to move from this model profile into provider pages, static comparison pages, related Kingy records, and the broader AI launch graph. These are research paths, not rankings.