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Use · Meta Llama 4

Is it good enough?

Ownership levelPartialnone·limited·partial·substantial·fullAnalytical input C ยท 70.8/100

This page is a projection of the one entry record, the Reliability factor that Use covers. The full verdict is set by all four factors together, floor-weighted so the weakest caps the whole.

Which domain expands which factor
  • AssessUse & modify + Transparency
  • ImplementData control + Reliability
  • UseReliability
  • SupportTransparency

Capabilities & modalities

Natively multimodal (image + text) mixture-of-experts models with strong general, coding, and multilingual ability and very long context. Scout and Maverick are released; Behemoth is the larger sibling.

Context window & long-context behaviour

Scout advertises up to 10M tokens, Maverick up to 1M, per Meta. OneHill has not independently measured effective recall at those lengths, so treat them as declared windows.

Prompt format & chat template

A Llama-4 chat template with header/turn special tokens and multimodal input formatting. Apply via the tokenizer's chat template rather than hand-assembling prompts.

Language coverage

Broad multilingual coverage (a Llama strength); per-language depth varies and is not exhaustively documented.

Function / tool calling

Documented tool-calling (built-in and custom), continuing the Llama 3.1+ tradition. Confirm the schema per serving stack.

Structured / JSON-constrained output

Tool-calling supports structured responses; strict JSON / schema-constrained decoding is a serving-layer feature (vLLM grammars), not a model guarantee.

How this scores

The ownership factor this domain covers, drawn from the one entry record.

3

ReliabilityIs it reliable and good enough for the job?

Strong

Performance 4, operational 5 and safety 4 (with first-party Llama Guard / Prompt Guard): capable multimodal models with the broadest serving and a real guard stack; all at or above 4, so reliability is strong.

How this scores (AOI sub-dimensions)
Operational5/5how practical it is to run, serve and maintain in productionFirst-class ecosystem support: safetensors on every major runtime and cloud endpoint (Bedrock, Vertex, Together, Groq), extensive quantization, and the broadest toolchain of any open family.
Safety4/5whether misuse risks are evaluated and guardrails are providedA genuine strength: the family ships a first-party guard stack - Llama Guard (input/output moderation) and Prompt Guard (prompt-injection/jailbreak detection) - alongside documented safety tuning.
What this means for adoptionFor non-EU users you partially own self-hosted Llama 4: it runs on your infrastructure, performs strongly as a multimodal family, and pairs with Meta's Llama Guard and Prompt Guard (reliability strong), but the Community Licence's 700M-MAU trigger, naming conditions, and access gate keep use-and-modify at moderate - ownership partial. For EU-domiciled individuals and companies the picture is worse: the licence denies you any grant to the multimodal models, so your effective ownership is none - prefer the Llama 3.1 text line (the meta-llama entry, no EU clause) or a non-Llama family. Either way, check the 700M-MAU trigger, honour the Llama attribution terms, and confirm your domicile against the AUP before use.

Sources

The same evidence records as the entry sheet. Read means the text was verified; unverified means it is known to exist but not yet read.

Licenceread2026-08-03
Llama 4 Community License, read verbatim (via Meta's canonical GitHub mirror meta-llama/llama-models): the "Additional Commercial Terms" 700M-MAU threshold ("greater than 700 million monthly active users in the preceding calendar month, you must request a license from Meta"), the "Built with Llama" attribution clause, California governing law, and the incorporated AUP carrying the EU multimodal restriction.
Terms of serviceread2026-08-03
Llama 4 Acceptable Use Policy, read verbatim: "With respect to any multimodal models included in Llama 4, the rights granted under Section 1(a) ...
Model cardread2026-08-03
Llama 4 on the verified, access-gated meta-llama HF org: Scout (109B/17B, very long context), Maverick (400B/17B), Behemoth (larger); natively multimodal MoE; safetensors with checksums and a llama4 licence tag; hosted on Bedrock/Vertex/Together/Groq.
Third-party analysisunverified2026-08-03
On public leaderboards Llama 4 Maverick is competitive among open multimodal models; the family adds native multimodality and very long context.
Model cardunverified2026-08-03
Meta ships Llama Guard (input/output moderation) and Prompt Guard (prompt-injection/jailbreak detection) with the Llama family and documents safety tuning; no broad independent multimodal red-team is aggregated here.