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DeepSeek vs MiniMax

Side-by-side on valuation, funding, investors, founders & more

Comparison updated: April 2026

MiniMax is valued at $4B — more than 3x DeepSeek's N/A.

Head-to-Head Verdict

Dead heat — tied on all comparable metrics

DeepSeek

2 wins

+Funding
+Awaira Score
-Team Size
-Experience

MiniMax

2 wins

-Funding
-Awaira Score
+Team Size
+Experience

Key Numbers

Valuation
N/A
$4B
Total Funding
$1.1B
$900M
Awaira Score
92/100
73/100
Employees
150
400
Founded
2023
2021
Stage
Corporate
Public
DeepSeekMiniMax
Winner
DeepSeek logo
DeepSeek

🇨🇳 China · Liang Wenfeng

CorporateFoundation ModelsEst. 2023

Valuation

N/A

Total Funding

$1.1B

Awaira Score92/100

150 employees

Full DeepSeek Profile →
MiniMax logo
MiniMax

🇨🇳 China · Yan Junjie

PublicFoundation ModelsEst. 2021

Valuation

$4B

Total Funding

$900M

Awaira Score73/100

400 employees

Full MiniMax Profile →
Market Context

This is a head-to-head contest: both operate in Foundation Models and share a home market in China. Different stages (Corporate vs Public) mean these companies face fundamentally different operational priorities.

🔬

Analyst Summary

Built from real data · Updated April 2026

Companies

Within Foundation Models, DeepSeek and MiniMax rank among the most closely watched rivals. DeepSeek is a Chinese foundation model company founded in 2023 that develops large language models and AI systems. MiniMax is a Chinese foundation model company founded in 2021 that develops large language models and multimodal AI systems.

Funding & Valuation

Only MiniMax has a public valuation on record ($4B); DeepSeek's has not been disclosed. DeepSeek has raised $1.1B while MiniMax has raised $900M, keeping their war chests in the same ballpark.

Growth Stage

Established in 2021, MiniMax has a modest 2-year head start over DeepSeek (2023). Growth stages differ: DeepSeek (Corporate) versus MiniMax (Public), a distinction that matters for both deal structure and competitive positioning. Headcount tells a story too: DeepSeek has 150 employees and MiniMax has 400.

Geography & Outlook

DeepSeek and MiniMax share a home market in 🇨🇳 China, intensifying their competitive overlap. A 19-point gap on the Awaira Score (DeepSeek: 92, MiniMax: 73) signals a clear difference in overall company strength. Under Liang Wenfeng and Yan Junjie respectively, both companies continue to chart aggressive growth paths.

Funding Velocity

DeepSeek

Total Rounds1
Avg. Round Size$700M

MiniMax

Total Rounds4
Avg. Round Size$93.3M
Funding Span2.1 yrs

Funding History

DeepSeek has completed 1 funding round, while MiniMax has gone through 4. DeepSeek's most recent round was a Corporate of $700M, compared to MiniMax's Series D ($200M). DeepSeek is at Corporate while MiniMax is at Public — different points in their growth trajectory.

Team & Scale

MiniMax has the bigger team at roughly 400 people — 3x the size of DeepSeek's 150. They're close in age — DeepSeek started in 2023 and MiniMax in 2021. Both are based in China.

Metrics Comparison

MetricDeepSeekMiniMax
💰Valuation
N/A
$4B
📈Total Funding
$1.1BWINS
$900M
📅Founded
2023WINS
2021
🚀Stage
Corporate
Public
👥Employees
150
400
🌍Country
China
China
🏷️Category
Foundation Models
Foundation Models
Awaira Score
92WINS
73

Key Differences

📈

Funding gap: DeepSeek has raised $200M more ($1.1B vs $900M)

📅

Market experience: MiniMax has 2 years more (founded 2021 vs 2023)

🚀

Growth stage: DeepSeek is at Corporate vs MiniMax at Public

👥

Team size: DeepSeek has 150 employees vs MiniMax's 400

⚔️

Direct competitors: Both operate in the Foundation Models market segment

Awaira Score: DeepSeek scores 92/100 vs MiniMax's 73/100

Which Should You Choose?

Use these signals to make the right call

DeepSeek logo

Choose DeepSeek if…

Top Pick
  • Higher Awaira Score — 92/100 vs 73/100
  • Stronger investor backing — raised $1.1B
  • DeepSeek is a Chinese foundation model company founded in 2023 that develops large language models and AI systems
MiniMax logo

Choose MiniMax if…

  • More established by valuation ($4B)
  • More market experience — founded in 2021
  • MiniMax is a Chinese foundation model company founded in 2021 that develops large language models and multimodal AI systems

Funding History

DeepSeek raised $1.1B across 1 round. MiniMax raised $900M across 4 rounds.

DeepSeek

Corporate

Jan 2023

Lead: High-Flyer Innovation Fund

$700M

MiniMax

Series D

Oct 2023

$200M

Series C

Nov 2022

Lead: Saudi PIF

$120M

Series B

Jun 2022

$45M

Series A

Sep 2021

$8M

Investor Comparison

No shared investors detected between these two companies.

Unique to DeepSeek

High-Flyer Innovation Fund

Unique to MiniMax

Saudi PIFAlibabaGlade Brook CapitalDariusCapitalVertex VenturesFairrice Venture Capital

Users Also Compare

FAQ — DeepSeek vs MiniMax

Is DeepSeek bigger than MiniMax?
MiniMax has a disclosed valuation of $4B, while DeepSeek's valuation is not publicly available, making a direct size comparison difficult. MiniMax employs 400 people.
Which company raised more funding — DeepSeek or MiniMax?
DeepSeek has raised more in total funding at $1.1B, compared to MiniMax's $900M — a gap of $200M. Combined, the two companies have completed 5 known funding rounds.
Which company has a higher Awaira Score?
DeepSeek leads with an Awaira Score of 92/100, while MiniMax sits at 73/100. That 19-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.
Who founded DeepSeek vs MiniMax?
DeepSeek was founded by Liang Wenfeng in 2023. MiniMax was founded by Yan Junjie in 2021. Visit each company's profile on Awaira for a full founder biography.
What does DeepSeek do vs MiniMax?
DeepSeek: DeepSeek is a Chinese foundation model company founded in 2023 that develops large language models and AI systems. DeepSeek is funded by High-Flyer, a Chinese quantitative hedge fund co-founded by Liang Wenfeng, who also serves as DeepSeek's CEO. The company has not disclosed specific external funding amounts. 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. MiniMax: MiniMax is a Chinese foundation model company founded in 2021 that develops large language models and multimodal AI systems. The company has achieved a $4.0 billion valuation with $900 million in total funding, positioning it among China's significant AI players. MiniMax focuses on creating efficient language models optimized for both English and Chinese languages, with particular emphasis on cost-effective inference and deployment across various applications including text generation, conversational AI, and creative content production. The company's models are designed to balance performance with computational efficiency, addressing practical deployment constraints in commercial settings. MiniMax operates in the competitive foundation model landscape dominated by companies like OpenAI, Anthropic, and domestic Chinese competitors including ByteDance and Alibaba. The company has transitioned to public trading status, reflecting maturation in its business operations and investor confidence. Its technology approach emphasizes practical model optimization rather than scaling alone, targeting enterprise and developer markets seeking alternatives to larger, more resource-intensive models. MiniMax has demonstrated steady growth trajectory within China's AI ecosystem, employing domestic demand for localized language models and regulatory advantages of domestic foundation model development. The company continues expanding its model capabilities and commercial applications within the Asian market. MiniMax develops computationally efficient foundation models specifically optimized for Chinese language processing and enterprise deployment.
Which company was founded first?
MiniMax got there first, launching in 2021 — that's 2 years of extra runway. DeepSeek didn't arrive until 2023. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.
Which company has more employees?
DeepSeek has about 150 employees; MiniMax has about 400. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.
Are DeepSeek and MiniMax competitors?
Yes — they're direct rivals. Both DeepSeek and MiniMax compete in Foundation Models, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.

Bottom Line

DeepSeek has a clear lead here — Awaira Score of 92 vs MiniMax's 73. The difference comes down to funding depth and strategic focus.

Who Should You Watch?

DeepSeek has the edge right now — higher Awaira Score and more capital to work with. That said, MiniMax could close the gap with the right round or product launch. Follow both profiles on Awaira to track funding rounds, team changes, and score updates.

Deep Dive