C
Evidence Grade C
Use with Hedging
Aging
128,000
128,000 — context window length for Llama 3.1 (2024)
Source:
View source
Curated by Aaron Agius
· Founder, Louder Online
Last verified:
·
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Source verified
Evidence graded
Value
128,000
Unit
Count
Data Vintage
2024
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/3292802.html ↗
Source Article
出品｜虎嗅科技组
作者｜余杨
编辑｜苗正卿
头图｜视觉中国
7月24日消息，Meta（原Facebook）宣布推出开源模型Llama 3.1，包括三个不同规模的版本：405B、70B和8B。其中，Llama 3.1 405B被认为是最强大的开源模型，在多项基准测试中超越了GPT-4o和Anthropic的Claude 3.5 Sonnet。
Meta首席执行官马克·扎克伯格预测，由Llama3支持的Meta AI（Meta 的人工智能助手）使用量将在未来几个月内超过ChatGPT。
在Meta针对AI模型的主页文档介绍中，重点展示了数据分析、多语言代理、复杂推理和编码助手几个功能。
在模型评估…
Also cited by
Huxiu (via 机器之心/Jiqizhixin)
https://www.huxiu.com/article/3282224.html
2026-05-03
Original Research
Meta
· Original study ↗
Methodology
Meta official model specification
Study: Unknown
Cite this stat
Suggested hedging: based on claims without stated methodology, with unverified sample sizes...
Plain Text
Llama 3.1: 128,000 context window length. Source: huxiu.com (2024). Via Lighthouse Research Data — https://lighthousedata.io/data/llama-3-1-context-window-tokens-2024
HTML Embed
<blockquote cite="https://lighthousedata.io/data/llama-3-1-context-window-tokens-2024" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>128,000</strong> — context window length for Llama 3.1<br><small>Source: huxiu.com (2024) · <a href="https://lighthousedata.io/data/llama-3-1-context-window-tokens-2024" target="_blank" rel="noopener">Lighthouse Data</a></small></blockquote>
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