Google DeepMind vs DeepSeek: Revenue, Profit and Business Model
Google DeepMind had ~$2B of annual revenue in FY2023. DeepSeek had $70.7M of annual revenue in FY2026.
Latest financial snapshot
Google DeepMind
- Latest annual revenue
- ~$2B (FY2023)
- Net income
- Unavailable here
- Net margin
- —
- Revenue growth
- +22.8% a year, FY2020–FY2023
DeepSeek
- Latest annual revenue
- $70.7M (FY2026)
- Net income
- Unavailable here
- Net margin
- —
- Revenue growth
- +427.6% a year, FY2025–FY2026
Financial summary
Google DeepMind
Alphabet does not report Google DeepMind separately. The best public data comes from DeepMind Technologies Limited's UK accounts, which show revenue, mostly R&D fees charged to other Alphabet companies, rising from ~$1.09 billion (£826 million) in 2020 to ~$1.8 billion (£1.365 billion) in 2021, dipping to ~$1.43 billion (£1.081 billion) in 2022 and reaching about $2.02 billion (£1.53 billion) in 2023, with pre-tax profit of ~$196 million (£148.4 million) that year. These numbers measure Alphabet's internal funding of the lab rather than the commercial value of Gemini, which Google earns through Search, subscriptions and Cloud. Google DeepMind operates as a crown jewel subsidiary of Alphabet Inc., heavily driving Google's multi-trillion dollar market capitalization.
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.
Revenue and profit by year
Google DeepMind
| Year | Revenue | Net income | Margin | Growth | Source |
|---|---|---|---|---|---|
| FY2023 | ~$2B | — | — | +41.6% | Source |
| FY2022 | ~$1.4B | — | — | -20.8% | Source |
| FY2021 | ~$1.8B | — | — | +65.3% | Source |
| FY2020 | ~$1.1B | — | — | — | Source |
DeepSeek
| Year | Revenue | Net income | Margin | Growth | Source |
|---|---|---|---|---|---|
| FY2026 | $70.7M | — | — | +427.6% | Source |
| FY2025 | $13.4M | — | — | — | Source |
| FY2024 run-rate | $1.5M | — | — | — | Source |
Where the revenue comes from
Google DeepMind
- R&D services to Alphabet companies
Not formally reported
DeepMind Technologies Limited's reported revenue comes mainly from research and development services billed to other Alphabet group companies.
- Gemini in Google products (booked by Google)
Not formally reported
Search ads supported by AI Overviews and AI Mode, Gemini app and Google One AI subscriptions, Workspace, and Gemini APIs on Google Cloud. Alphabet does not disclose how much of this is attributable to Google DeepMind.
DeepSeek
No segment breakdown is published.
Business model and strategy
Google DeepMind
How it makes money
Google DeepMind does not sell products under its own name. It is a cost center inside Alphabet that builds the models Google monetizes: Gemini powers AI Overviews and AI Mode in Search (supporting ad revenue), the Gemini app and Google One AI subscriptions, Gemini for Workspace, and pay-per-token Gemini APIs on Google AI Studio and Vertex AI in Google Cloud.
Growth strategy
The lab's priority is staying at the frontier with Gemini, including Gemini 3 and the Gemini 4 generation Hassabis mentioned in August 2026, while pushing Flash models and Gemma open models to developers. Under Koray Kavukcuoglu it is more tightly tied to Google's product teams, with Hassabis focusing on AGI strategy and Isomorphic Labs' drug discovery work.
Competitive advantage
Google DeepMind's main edge is the full Google stack around it: in-house TPU chips, Google Cloud, and distribution through Search, Android, YouTube and Workspace. It also has a deep research bench and a record of scientific results, from AlphaGo to the Nobel-winning AlphaFold, that few rivals can match.
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.
Questions about Google DeepMind vs DeepSeek
Which company has higher revenue — Google DeepMind or DeepSeek?
Google DeepMind had ~$2B (FY2023), while DeepSeek had $70.7M (FY2026). By latest annual revenue, Google DeepMind 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 Google DeepMind and DeepSeek?
DeepSeek generates $442k / employee in revenue per employee. A comparable figure for Google DeepMind requires matching employee and revenue data from the same reporting period.
How do Google DeepMind and DeepSeek make money?
Google DeepMind and DeepSeek generate revenue in fundamentally different ways. Google DeepMind: Google DeepMind does not sell products under its own name. 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.
Is Google DeepMind bigger than DeepSeek?
By last reported revenue, Google DeepMind (~$2B (FY2023)) 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 Google DeepMind vs DeepSeek overview