Overall Winner: Moonshot AI·82/ 100

Moonshot AI vs StepFun

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

Winner
M
Moonshot AI

🇨🇳 China · Yang Zhilin

Series CFoundation ModelsEst. 2023

Valuation

$18B

Total Funding

$1.2B

82
Awaira Score82/100

300 employees

Full Moonshot AI 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 Moonshot AI and StepFun compete directly in the Foundation Models space, making this a head-to-head matchup within the same market segment. Moonshot AI is a Chinese foundation model company established in 2023, specializing in large language models and generative 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.

Moonshot AI carries a known valuation of $18B, while StepFun's valuation has not been publicly disclosed. On the funding side, Moonshot AI has raised $1.2B in total — $1B more than StepFun's $200M.

Both companies were founded in 2023, giving them the same market tenure. In terms of growth stage, Moonshot AI is at Series C 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, Moonshot AI leads with a score of 82, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricMoonshot AIStepFun
💰Valuation
$18B
N/A
📈Total Funding
$1.2BWINS
$200M
📅Founded
2023
2023
🚀Stage
Series C
Series A
👥Employees
300
100-500
🌍Country
China
China
🏷️Category
Foundation Models
Foundation Models
Awaira Score
82WINS
58

Key Differences

📈

Funding gap: Moonshot AI has raised $1B more ($1.2B vs $200M)

🚀

Growth stage: Moonshot AI is at Series C vs StepFun at Series A

👥

Team size: Moonshot AI has 300 employees vs StepFun's 100-500

⚔️

Direct competitors: Both operate in the Foundation Models market segment

Awaira Score: Moonshot AI scores 82/100 vs StepFun's 58/100

Which Should You Choose?

Use these signals to make the right call

M

Choose Moonshot AI if…

Top Pick
  • Higher Awaira Score — 82/100 vs 58/100
  • More established by valuation ($18B)
  • Stronger investor backing — raised $1.2B
  • Moonshot AI is a Chinese foundation model company established in 2023, specializing in large language models and generative AI systems
S

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

Moonshot AI raised $1.2B across 3 rounds. StepFun raised $200M across 0 rounds.

Moonshot AI

Series C

Jan 2024

Series B

Jan 2023

Series A

Jan 2023

StepFun

No public funding data available.

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FAQ — Moonshot AI vs StepFun

Is Moonshot AI bigger than StepFun?
Moonshot AI has a disclosed valuation of $18B, while StepFun's valuation is not publicly available, making a direct size comparison difficult. Moonshot AI employs 300 people.
Which company raised more funding — Moonshot AI or StepFun?
Moonshot AI has raised more in total funding at $1.2B, compared to StepFun's $200M — a gap of $1B. Combined, the two companies have completed 3 known funding rounds.
Which company has a higher Awaira Score?
Moonshot AI holds the higher Awaira Score at 82/100, compared to StepFun's 58/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 24-point gap that reflects meaningful differences in scale or traction.
Who founded Moonshot AI vs StepFun?
Moonshot AI was founded by Yang Zhilin in 2023. StepFun was founded by Jiang Daxin in 2023. Visit each company's profile on Awaira for a full founder biography.
What does Moonshot AI do vs StepFun?
Moonshot AI: Moonshot AI is a Chinese foundation model company established in 2023, specializing in large language models and generative AI systems. The company develops and deploys advanced language models designed for enterprise and consumer applications across Chinese and multilingual markets. Moonshot AI's primary offering centers on proprietary LLM technology built to handle complex reasoning tasks, content generation, and conversational AI applications. The company operates within China's rapidly expanding AI sector, competing alongside established players like Alibaba, Baidu, and emerging challengers in the foundation model space. Its technology approach emphasizes efficient model scaling and optimization for Chinese language processing, addressing regional market demands. Moonshot AI has achieved significant market recognition, reflected in its $18.0 billion valuation following Series C funding rounds totaling $1.2 billion. This valuation positions it among China's most valuable AI startups, despite its recent founding. The company's rapid growth trajectory and substantial capital raises indicate strong investor confidence in its technological capabilities and market potential. Specific major customers or partnership details remain largely undisclosed, though the company pursues both enterprise and consumer market segments. Moonshot AI's competitive positioning reflects broader trends in foundation model development, where differentiation depends on model quality, efficiency, and localized capabilities. Moonshot AI achieved an $18 billion valuation within months of founding, reflecting intense investor interest in Chinese foundation model development. 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 Moonshot AI 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?
Moonshot AI has approximately 300 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 Moonshot AI and StepFun competitors?
Yes, Moonshot AI 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.