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.
Before you buy
Buying details reviewed 2026-10-23. Price, included amounts and access are dated observations; check the official source for current terms. This date does not review the whole fact ledger or renew historical demonstrations.
Best for: Candidate for open-weight and local/private evaluations where Llama 4 Scout hardware requirements fit.
Price: Weights or API by deployment; no single subscription
Included: Llama 4 Scout is a Meta Llama 4 mixture-of-experts model optimized for multimodal understanding, multilingual tasks, coding, tool-calling, and agentic systems.
Main limits: Open-weight model under Meta Llama terms; review official Meta Llama documentation and license before use or redistribution. Hosted inference, downloadable weights and commercial rights have separate terms. Confirm the exact checkpoint and provider quote.
What Kingy showed: Related coverage: How to Choose an AI Inference Provider. This review does not treat that article as a new test of this exact model, plan or current release.
See the demonstration and disclosure · Compare these workflows
- 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.
Kingy AI Product Facts
Llama 4 Scout
Current statusUnknown
- Company
- Not yet reviewed
- Primary job
- Not yet reviewed
- Audience
- Not yet reviewed
- Evidence
- Source-backed; coverage expanding
- Latest source check
- October 23, 2026
See all tracked product factsPricing, platforms, dependencies, data claims, regions, and timeline
Sources and checks
- Coverage
- 1 of 88 tracked fields currently verified
- Sources
- 1
Source-check dates apply to the tracked facts. Editorial updates elsewhere on this page may have a different date.
Plans and pricing units
Not yet structured in this Kingy record.
Where it runs
- Availability
- Not yet reviewed
Stack and integrations
- Model / provider dependencies
- Not yet reviewed
- Integrations
- Not yet reviewed
Data and regions
- Vendor data-use claim
- Not yet reviewed
- Vendor retention claim
- Not yet reviewed
- Regions
- Not yet reviewed
Launch and latest material update
- Launch
- Not yet reviewed
- Latest material update
- Not yet reviewed
Full Model Notes
Who should consider it
Candidate for open-weight and local/private evaluations where Llama 4 Scout hardware requirements fit. Llama 4 Scout is a Meta Llama 4 mixture-of-experts model optimized for multimodal understanding, multilingual tasks, coding, tool-calling, and agentic systems.
Plan, price and billing scope
Weights or API by deployment; no single subscription. Llama 4 Scout is a Meta Llama 4 mixture-of-experts model optimized for multimodal understanding, multilingual tasks, coding, tool-calling, and agentic systems. Prices use the currency and billing term stated here. Where a numeric rate, region or current entitlement could not be verified, it remains explicit; no checkout was completed.
Limits that affect the decision
Open-weight model under Meta Llama terms; review official Meta Llama documentation and license before use or redistribution. Hosted inference, downloadable weights and commercial rights have separate terms. Confirm the exact checkpoint and provider quote.
What the existing evidence shows
Related coverage: How to Choose an AI Inference Provider. This review does not treat that article as a new test of this exact model, plan or current release. Related workflow reading; not a demonstration of this exact product. Read the related article.
Sources and buying-review date
Buying review completed October 23, 2026. This is a source-based buying assessment. No paid product test, new generation, checkout or performance benchmark was performed. Vendor descriptions and historical examples remain distinct from independently measured results. The date does not renew the broader canonical fact ledger.
Check the official offer · Compare related options
Earlier profile, sources and dates
This older record retains its original scope. Current buying qualifications above take precedence where terms have changed.
Llama 4 Scout is a Meta Llama 4 mixture-of-experts model optimized for multimodal understanding, multilingual tasks, coding, tool-calling, and agentic systems.
The Kingy Brief
Get the free AI price sheet.
25 AI plans and models on one page, from official pricing pages, updated every month. Free when you join The Kingy Brief: AI changes, original tests and one practical thing to try, Fridays at 09:00 Vancouver time.
Free · Double opt-in · Unsubscribe anytime
Signup help and newsletter schedule
After submitting, check your inbox for "Confirm your subscription to The Kingy Brief" and open its confirmation link. Your price sheet download is on the page that opens. Check Spam or Promotions if you cannot find it.
Fridays at 09:00 Vancouver time: source-checked AI changes, original tests and one practical thing to try. We skip a week when there is not enough verified material. Free. Unsubscribe anytime.
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.