tag: deepseek
articles: 2 · beats: 1
latest: August 3, 2026
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Deepseek
2 Crashtech articles on Deepseek, filed under AI Business & Money, published between July 2026 and August 2026. Every piece is full-text HTML with sources, structured data and an authored FAQ.
All 2 sit in the AI Business & Money beat. AI Business & Money
Alibaba's 2.4 Trillion-Parameter Model Lands as China's AI Price War Heats Up
Alibaba unveiled Qwen3.8-Max, a 2.4-trillion-parameter model, escalating China's five-way AI race alongside DeepSeek, Kimi, Doubao, and ERNIE.
Chinese Open-Weight Models Now Beat US Models on Hugging Face Downloads
Chinese open models hit 41% of Hugging Face downloads this spring and now fill OpenRouter's top six, with Claude Opus 4.7 down at seventh.
Questions we answer about Deepseek
- How many parameters does Qwen3.8-Max have and how many are active per query?
- What is mixture-of-experts architecture in plain terms?
- Which companies are competing in China's AI model race by mid-2026?
- Why should developers outside China care about China's AI price war?
- Did Chinese AI models really overtake US models on Hugging Face?
- What are the most-used AI models on OpenRouter right now?
- Where does Anthropic's Claude Opus rank on OpenRouter?
- Why does Hugging Face's CEO think open models are gaining ground?
- How much AI traffic on Vercel came from open-weight models in June 2026?
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Frequently asked questions
What does Crashtech publish about Deepseek?
2 articles tagged Deepseek, the most recent published August 3, 2026. All 2 sit in the AI Business & Money beat. Each carries numbered sources, an authored FAQ and full structured data.
What questions about Deepseek does Crashtech answer directly?
9 questions have a dedicated answer page under this tag, including “How many parameters does Qwen3.8-Max have and how many are active per query?”. Each answer is authored prose from the article it belongs to, not a generated summary.
Can AI assistants read Crashtech's Deepseek coverage?
Yes. Crashtech serves full static HTML to every crawler, allows all major AI user agents in robots.txt, and publishes an llms.txt manifest plus a full-text corpus, so assistants can retrieve and cite these articles directly.