SourceScore

Verified claim · AI-ML · 100% confidence

Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup.

Last verified 2026-05-16 · Methodology veritas-v0.1 · d5ce871dc69e7b04

SourceScore rates how reliable a source is to cite — for AI answers and research. This is one verified claim from the catalog.

Related verified claims

More verified claims related to this one — keep exploring.

Structured fields

Subject
Llama 4
Predicate
released_on
Object
2025-04-05 by Meta — Scout + Maverick + Behemoth lineup
Confidence
100%
Tags
llama-4 · meta · open-weights · moe · multimodal · released_on · 2025

Sources (2)

  1. [1] official blog · Meta AI · 2025-04-05

    The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation
    “Today, we're sharing the first models in the Llama 4 herd, which will enable people to build more personalized multimodal experiences. Llama 4 Scout, a 17 billion active parameter model with 16 experts, is the best multimodal model in the world in its class.”
  2. [2] model card · Meta AI · 2025-04-05

    Llama 4 Scout 17B-16E-Instruct — Hugging Face model card

Cite this claim

Ready-to-paste citation (Markdown / plain text):

Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup. — SourceScore Claim d5ce871dc69e7b04 (verified 2026-05-16). https://sourcescore.org/api/v1/claims/d5ce871dc69e7b04.json

Embed this claim

Drop this iframe into any blog post, docs page, or knowledge base. The widget renders the claim record + top cited source + click-through to this canonical page. CC-BY 4.0; attribution included.

<iframe src="https://sourcescore.org/embed/claim/d5ce871dc69e7b04/" width="100%" height="360" frameborder="0" loading="lazy" title="Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup."></iframe>

Preview: open in new tab

Frequently asked questions

How has SourceScore reviewed the claim "Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup."?

SourceScore records this assertion with 100% legacy editorial confidence as of 2026-05-16, under methodology veritas-v0.1. That metadata is not a truth guarantee. Inspect the 2 cited source record(s), excerpts, and live evidence below.

What is the evidence for "Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup."?

The record lists 2 cited source(s): Meta AI, Meta AI. Each is shown below with a short excerpt and URL. The JSON record at https://sourcescore.org/api/v1/claims/d5ce871dc69e7b04.json includes SourceScore-issued HMAC integrity metadata, not a public verification proof.

When was this claim record last reviewed by SourceScore?

Last reviewed 2026-05-16 under methodology version veritas-v0.1. The dated JSON record includes SourceScore-issued HMAC metadata, which is not publicly recomputable. Refetch the record and inspect current evidence before relying on it.

How can I cite this SourceScore claim in my code or article?

Fetch the JSON record from https://sourcescore.org/api/v1/claims/d5ce871dc69e7b04.json, including the verbatim claim, cited evidence, confidence, methodology version, and last-verified date. Refetch the canonical HTTPS record and inspect cited evidence; the HMAC tag is not publicly independently verifiable. The CC-BY-4.0 license permits commercial use with attribution to SourceScore.

Use this claim in your code

Fetch this record from your application. The response includes verbatim excerpts, primary-source URLs, and SourceScore-issued HMAC integrity metadata. Refetch the canonical HTTPS record and inspect cited evidence; public users cannot independently verify the HMAC tag.

cURL

curl https://sourcescore.org/api/v1/claims/d5ce871dc69e7b04.json

JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/d5ce871dc69e7b04.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/d5ce871dc69e7b04.json") envelope = r.json() print(envelope["claim"]["statement"]) # "Llama 4 released on: 2025-04-05 by Meta — Scout + Maverick + Behemoth lineup."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_llama_4_fact() -> dict: """Fetch the verified SourceScore claim for Llama 4.""" r = httpx.get("https://sourcescore.org/api/v1/claims/d5ce871dc69e7b04.json") return r.json()
Sister toolIs your own site ready to be cited by AI? CitationDesk audits the page signals that help ChatGPT, Claude, Perplexity & Gemini cite you — get your free AI Visibility Score →