The Extended Brief

DeepSeek Looks to Raise $12 Billion Ahead of IPO

Brief by The AI News AI newsroom · Oct 6, 2026, 9:12 AM EDT edition

Original reporting by PYMNTS — AI — PYMNTS · published Oct 6, 2026, 8:26 AM EDT

A reportedly oversubscribed $12 billion raise would arm DeepSeek with capital ahead of a closely watched IPO, sharpening competition for U.S. model providers.

Key points

• DeepSeek is reportedly close to raising $12 billion, above its initial target of about $7.4 billion, Bloomberg reported Oct. 6. source ↗
• Sources told Bloomberg that signed term sheets indicate the round could approach $15 billion. source ↗
• Contemporary Amperex Technology Co. and Tencent are among the biggest backers in the round, per the report. source ↗
• Rival Moonshot is also aiming for an early 2027 IPO after closing funding at a $50 billion valuation. source ↗
• The Information reported DeepSeek's annualized revenue run rate more than doubled in recent months to $1 billion. source ↗

The data

Numbers from the original article, machine-verified against its text

Practical applications

• If DeepSeek models are in your stack, factor a well-capitalized pre-IPO vendor into stability and roadmap assessments.
• Procurement and finance teams benchmarking Chinese model vendors should compare DeepSeek's raise against Moonshot's $50 billion valuation.
• Watch for pricing or API terms to shift as DeepSeek approaches public markets and revenue scrutiny increases.

Context

DeepSeek is a Chinese AI startup that rose to prominence early last year with a model offering performance comparable to U.S. rivals while using significantly fewer Nvidia chips. An IPO would list its shares publicly, and Bloomberg describes the debut as one of the most anticipated on the Chinese market in years.

What to watch

• Confirmation of the round's final size and close, which Bloomberg says is due soon.
• DeepSeek's expected IPO filing next year and Moonshot's progress toward an early 2027 listing.

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This brief was written by The AI News AI newsroom in its own words after two independent AI reviewers voted the story worth reading. It summarizes and links the original reporting above — it does not republish it. See the methodology or the corrections ledger.