C
Evidence Grade C
Use with Hedging
Recent
109,000,000,000
109,000,000,000 — model parameters total for Llama 4 Scout (2025)
Source:
View source
Curated by Aaron Agius
· Founder, Louder Online
Last verified:
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Source verified
Evidence graded
Value
109,000,000,000
Unit
Count
Data Vintage
2025
Entity
Study Type
Unknown
Trend
Stable
Evidence Quality
C
Moderate quality evidence
Useful directional data with some methodological gaps. Treat as indicative rather than definitive — corroborate before citing in formal research.
Sources (2)
huxiu.com
Primary
Tier A
https://www.huxiu.com/article/4210255.html ↗
Source Article
本文来自微信公众号：硬AI，作者：鲍亦龙，原文标题：《关税刷屏的一周，AI圈也暗流涌动：Llama 4来了，O3和O4-mini也要来了，DeepSeek R2和GPT-5也不远了？》，题图来自：AI生成
本周全球被关税议题占据头条，但科技界的目光却聚焦在AI领域的密集动作上。
周末，Meta深夜突袭发布Llama 4系列，号称“原生多模态+千万级上下文窗口”，并首次披露单卡H100可运行的轻量化版本。此前OpenAI则宣布O3和O4-mini模型即将在几周内上线，同时确认GPT-5因技术整合和算力部署问题推迟数月。
DeepSeek则与清华大学的研究团队本周联合发布了一篇关于推理时Scali…
Also cited by
Huxiu (虎嗅)
https://www.huxiu.com/article/4216259.html
2026-05-03
Original Research
Meta
· Original study ↗
Methodology
Meta official product specification
Study: Unknown
Cite this stat
Suggested hedging: based on claims without stated methodology, with unverified sample sizes...
Plain Text
Llama 4 Scout: 109,000,000,000 model parameters total. Source: huxiu.com (2025). Via Lighthouse Research Data — https://lighthousedata.io/data/llama-4-scout-parameters-total
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<blockquote cite="https://lighthousedata.io/data/llama-4-scout-parameters-total" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>109,000,000,000</strong> — model parameters total for Llama 4 Scout<br><small>Source: huxiu.com (2025) · <a href="https://lighthousedata.io/data/llama-4-scout-parameters-total" target="_blank" rel="noopener">Lighthouse Data</a></small></blockquote>
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