Overall Winner: DeepSeek·92/ 100
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DeepSeekWinner
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DeepSeek vs StepFun

In-depth comparison — valuation, funding, investors, founders & more

Winner
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DeepSeek

🇨🇳 China · Liang Wenfeng

CorporateFoundation ModelsEst. 2023

Valuation

N/A

Total Funding

$700M

92
Awaira Score92/100

150 employees

Full DeepSeek Profile →
S
StepFun

🇨🇳 China · Jiang Daxin

Series AFoundation ModelsEst. 2023

Valuation

N/A

Total Funding

$200M

58
Awaira Score58/100

100-500 employees

Full StepFun Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both DeepSeek and StepFun compete directly in the Foundation Models space, making this a head-to-head matchup within the same market segment. DeepSeek is a Chinese foundation model company founded in 2023 that develops large language models and AI systems. StepFun develops multimodal foundation models for Chinese and English language applications, producing the Step series of large language and vision-language models that target enterprise deployment through API and private cloud licensing.

Neither company has publicly disclosed a valuation at this time. On the funding side, DeepSeek has raised $700M in total — $500M more than StepFun's $200M.

Both companies were founded in 2023, giving them the same market tenure. In terms of growth stage, DeepSeek is at Corporate while StepFun is at Series A — a meaningful difference for investors evaluating risk and upside.

Both companies are headquartered in 🇨🇳 China, competing for the same regional talent and customer base. On Awaira's 0–100 composite score, DeepSeek leads with a score of 92, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricDeepSeekStepFun
💰Valuation
N/A
N/A
📈Total Funding
$700MWINS
$200M
📅Founded
2023
2023
🚀Stage
Corporate
Series A
👥Employees
150
100-500
🌍Country
China
China
🏷️Category
Foundation Models
Foundation Models
Awaira Score
92WINS
58

Key Differences

📈

Funding gap: DeepSeek has raised $500M more ($700M vs $200M)

🚀

Growth stage: DeepSeek is at Corporate vs StepFun at Series A

👥

Team size: DeepSeek has 150 employees vs StepFun's 100-500

⚔️

Direct competitors: Both operate in the Foundation Models market segment

Awaira Score: DeepSeek scores 92/100 vs StepFun's 58/100

Which Should You Choose?

Use these signals to make the right call

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Choose DeepSeek if…

Top Pick
  • Higher Awaira Score — 92/100 vs 58/100
  • Stronger investor backing — raised $700M
  • DeepSeek is a Chinese foundation model company founded in 2023 that develops large language models and AI systems
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Choose StepFun if…

  • StepFun develops multimodal foundation models for Chinese and English language applications, producing the Step series of large language and vision-language models that target enterprise deployment through API and private cloud licensing

Funding History

DeepSeek raised $700M across 1 round. StepFun raised $200M across 0 rounds.

DeepSeek

Corporate

Jan 2023

Lead: High-Flyer Innovation Fund

$700M

StepFun

No public funding data available.

Investor Comparison

No shared investors detected between these two companies.

Unique to DeepSeek

High-Flyer Innovation Fund

Users Also Compare

FAQ — DeepSeek vs StepFun

Is DeepSeek bigger than StepFun?
Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. DeepSeek employs 150 people, while StepFun has 100-500 employees.
Which company raised more funding — DeepSeek or StepFun?
DeepSeek has raised more in total funding at $700M, compared to StepFun's $200M — a gap of $500M. Combined, the two companies have completed 1 known funding rounds.
Which company has a higher Awaira Score?
DeepSeek holds the higher Awaira Score at 92/100, compared to StepFun's 58/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 34-point gap that reflects meaningful differences in scale or traction.
Who founded DeepSeek vs StepFun?
DeepSeek was founded by Liang Wenfeng in 2023. StepFun was founded by Jiang Daxin in 2023. Visit each company's profile on Awaira for a full founder biography.
What does DeepSeek do vs StepFun?
DeepSeek: DeepSeek is a Chinese foundation model company founded in 2023 that develops large language models and AI systems. The company has secured $700M in total funding with valuation details not disclosed. DeepSeek operates as a corporate entity focused on creating advanced AI models for various applications. The company develops large language models designed for natural language processing tasks, code generation, and reasoning capabilities. DeepSeek's approach emphasizes efficient model architectures and training methodologies. The company has released models accessible through API interfaces and web platforms, targeting both enterprise and research applications. DeepSeek competes within the global foundation model landscape alongside companies like OpenAI, Anthropic, and other Chinese AI firms. The company positions itself in the rapidly expanding market for accessible AI models, particularly targeting cost-effective deployment and inference. The firm's growth trajectory reflects increased investment in Chinese AI infrastructure and competition in foundation model development. DeepSeek represents part of China's broader push toward AI self-sufficiency and technological advancement in machine learning. Notable aspects include the company's focus on model efficiency and its significant funding round, indicating substantial backing for model development and infrastructure. The company operates in a competitive space where continuous model improvements and capability demonstrations drive market positioning. DeepSeek represents China's emerging capability in developing competitive large language models with substantial capital backing and focus on efficient model architectures. StepFun: StepFun develops multimodal foundation models for Chinese and English language applications, producing the Step series of large language and vision-language models that target enterprise deployment through API and private cloud licensing. The Beijing company was founded by Jiang Daxin, a former senior executive at Baidu, bringing search and large-scale AI infrastructure experience to foundation model development in the rapidly competitive Chinese LLM startup market.\n\nThe company raised approximately $200 million in early funding from Chinese venture capital firms including Hillhouse Capital and other technology-focused investors backing the wave of Chinese foundation model startups that emerged following the launch of ChatGPT. StepFun models are positioned for enterprise customers in finance, legal, and customer service sectors requiring high-quality Chinese language reasoning and instruction following capabilities.\n\nStepFun competes in a crowded Chinese foundation model market alongside Moonshot AI, MiniMax, Zhipu AI, and Baichuan, as well as the AI divisions of Alibaba, Baidu, and ByteDance that have substantially greater compute resources and distribution. The Chinese foundation model market has seen aggressive fundraising and model release activity as the government signals support for domestic AI capability development. Differentiation among Chinese LLM startups is increasingly difficult as model benchmark performance converges, shifting competition toward vertical domain adaptation, inference cost, and enterprise integration services.
Which company was founded first?
Both DeepSeek and StepFun were founded in the same year — 2023. Despite sharing a founding year, they may have launched at different times within that year, which can matter in fast-moving AI markets.
Which company has more employees?
DeepSeek has approximately 150 employees, while StepFun has approximately 100-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are DeepSeek and StepFun competitors?
Yes, DeepSeek and StepFun are direct competitors — both operate in the Foundation Models space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.