DeepSeek vs Scale AI: Revenue, Profit and Business Model
DeepSeek had $70.7M of annual revenue in FY2026. Scale AI had $870M (unaudited) of annual revenue in FY2024.
Latest financial snapshot
Financial summary
DeepSeek
DeepSeek does not publish revenue or profit figures, and no audited numbers are available; earlier third-party revenue estimates could not be verified and have been removed from this profile. What is reported: the final DeepSeek-V3 training run cost about $5.6 million in rented-GPU terms (2.788 million H800 GPU hours, excluding research and hardware costs), and the company stayed funded by High-Flyer until June 2026. That month it closed a Series A of about 50 billion yuan (~$7.4 billion); Liang personally committed about 20 billion yuan, Tencent about $1.39 billion (10 billion yuan) and CATL about $695 million (5 billion yuan), according to Reuters. Post-money valuation was reported between ~$50 billion (Bloomberg) and ~$59 billion (SCMP). In July 2026 Bloomberg reported talks to raise ~$1.5 billion more at about $71 billion ahead of a mainland IPO targeted for 2027.
Scale AI
Scale is private and does not publish audited results. Bloomberg reported about $870 million of revenue in 2024 and a target near $2 billion for 2025 before the Meta deal. After OpenAI and Google pulled back, that target looked out of reach, but CEO Jason Droege wrote in early 2026 that 2025 was Scale's biggest revenue year, with more than $1 billion in new business and nearly half of bookings in Q4. The company valued itself at more than $29 billion in the June 2025 Meta transaction, up from $13.8 billion in its May 2024 Series F. Net income has not been disclosed, though Scale says the data business is now profitable. Scale AI is an absolute powerhouse in the artificial intelligence infrastructure sector, providing massive data labeling and RLHF services with a private market valuation of approximately $13.8 billion.
Revenue and profit by year
DeepSeek
| Year | Revenue | Net income | Margin | Growth | Source |
|---|---|---|---|---|---|
| FY2026 | $70.7M | — | — | +427.6% | Source |
| FY2025 | $13.4M | — | — | — | Source |
| FY2024 run-rate | $1.5M | — | — | — | Source |
Scale AI
| Year | Revenue | Net income | Margin | Growth | Source |
|---|---|---|---|---|---|
| FY2024 (unaudited) | $870M | — | — | — | Source |
| FY2023 | $335M | — | — | — | Source |
| FY2022 (unaudited) | $290M | — | — | — | Source |
Where the revenue comes from
DeepSeek
No segment breakdown is published.
Scale AI
- Data business
Not disclosed
Training data, RL environments, robotics data and evaluations for AI labs and large technology companies; profitable since the second half of 2025, per the company.
- Applications: enterprise
Not disclosed
Generative AI applications for companies such as Mayo Clinic, BP and Allianz.
- Applications: public sector
Not disclosed
AI programs for the U.S. Department of War and international governments including Qatar, the UK, Saudi Arabia and the UAE.
Business model and strategy
DeepSeek
How it makes money
DeepSeek makes money mainly by selling access to its models through a pay-per-token API (OpenAI-compatible endpoints such as deepseek-v4-pro and deepseek-v4-flash), priced well below US rivals. Its consumer chatbot on web and mobile is free. Model weights are published under the MIT license, so anyone can self-host them;
Growth strategy
DeepSeek's growth plan rests on three moves: keep releasing competitive open-weight models (V4-Pro, V4-Flash and the multimodal V4-Flash-Vision-Exp in 2026) to win developers; undercut closed-model API prices to grow paid usage; and reduce dependence on Nvidia by optimising for Chinese chips, shown by its September 2026 open-source toolkit for Huawei's Ascend accelerators.
Competitive advantage
DeepSeek's edge is cost efficiency: its models use sparse Mixture-of-Experts designs (V3 activates 37B of 671B parameters per token; V4-Pro reportedly 49B of 1.6T) and Multi-head Latent Attention, which let it train and serve near-frontier models with far fewer GPUs than US labs. Open MIT-licensed weights and low API prices give it unusually broad developer reach.
Scale AI
How it makes money
Scale AI earns money in two ways. Its data business charges AI labs and large technology companies for training data, reinforcement learning environments and model evaluations, produced by software pipelines plus a paid contributor network run through Outlier and Remotasks; the company says it has paid contributors more than $1 billion over ten years.
Growth strategy
Scale's 2026 plan, as described by its leadership, is to move technical capabilities from the data business into applications faster, invest in a unified AI-native platform for enterprise and government customers, and expand abroad. It opened or grew offices in New York, London, Washington, D.C., Doha, St.
Competitive advantage
Scale's advantages are scale, track record and government access. It has applied what it calls 15 billion human decisions to train leading models across 150 languages and locales, it runs SEAL benchmarks such as Humanity's Last Exam and SWE-Bench Pro that labs cite at launch, and it holds U.S.
Questions about DeepSeek vs Scale AI
Which company has higher revenue — DeepSeek or Scale AI, Inc.?
DeepSeek had $70.7M (FY2026), while Scale AI, Inc. had $870.0M (unaudited) (FY2024). By latest annual revenue, Scale AI, Inc. is the larger business, with DeepSeek showing a smaller revenue base. Note: these are from different fiscal years and are not a direct like-for-like comparison.
How does revenue per employee compare for DeepSeek and Scale AI, Inc.?
DeepSeek has $442k / employee in revenue per employee, while Scale AI, Inc. has $725k / employee. Headcounts may use different dates, so the ratio alone does not establish which business operates more efficiently.
How do DeepSeek and Scale AI, Inc. make money?
DeepSeek and Scale AI, Inc. generate revenue in fundamentally different ways. DeepSeek: DeepSeek makes money mainly by selling access to its models through a pay-per-token API (OpenAI-compatible endpoints such as deepseek-v4-pro and deepseek-v4-flash), priced well below US rivals. Scale AI, Inc.: Scale AI earns money in two ways.
Is DeepSeek bigger than Scale AI, Inc.?
By last reported revenue, Scale AI, Inc. ($870.0M (unaudited) (FY2024)) is the larger company compared to DeepSeek ($70.7M (FY2026)). Revenue scale is one dimension of size — market capitalisation, employee count, and geographic reach are also relevant depending on the context.
Figures come from each company's filings and the sources linked beside them. Amounts reported in another currency are shown in US dollars at an approximate rate and marked with ~. Back to the DeepSeek vs Scale AI overview