DeepSeek releases DeepSeek-V4 Preview
It features 1M context length, open-sourced models including V4-Pro and V4-Flash, with API access available now.
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Open-source foundation model developer
deepseek.comLast updated
In short: DeepSeek raised over $7 billion in a maiden fundraise, implemented permanent 75% API price cuts, and achieved record-breaking training performance.
It features 1M context length, open-sourced models including V4-Pro and V4-Flash, with API access available now.
Built on V3.1-Terminus, it debuts DeepSeek Sparse Attention for faster, efficient training and inference on long contexts. Now live on App, Web, and API with prices cut by over 50%.
It builds on V3.1-Terminus and debuts DeepSeek Sparse Attention for longer-context efficiency. API is live on App, Web, and API with prices reduced by over 50%.
The update enhances language consistency, addresses user feedback, and strengthens Code Agent and Search Agent performance.
[New Quality Industry Research Overview] (June 22-June 23) • WeChat Agent 'Xiaowei' goes live in grayscale, Tencent AI narrative shifts to beneficiaries • Anthropic makes first profit of $559 million in five years, verifying the business closed loop of large models • DeepSeek's first round of financing exceeds 50 billion yuan, with CATL participating in 5 billion • SEMI significantly revises up 2026 global semiconductor equipment scale to $152.2 billion...
It's free to download, cheaper to run — and dominated by China.
DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST government evaluation found it lags frontier US models...
Artificial intelligence company DeepSeek hit a $50 billion valuation following its latest funding round, the original backers of artificial intelligence company Manus are planning to...
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