Elyza vs MiniMax

MiniMax has a disclosed valuation of $4B, while Elyza's valuation is not publicly available, making a direct size comparison difficult. MiniMax employs 400 people.

MiniMax has raised more in total funding at $900M, compared to Elyza's $30M — a gap of $870M. Combined, the two companies have completed 4 known funding rounds.

MiniMax holds the higher Awaira Score at 73/100, compared to Elyza's 45/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 28-point gap that reflects meaningful differences in scale or traction.

Elyza was founded by Tetsuya Yamada in 2019. MiniMax was founded by Yan Junjie in 2021. Visit each company's profile on Awaira for a full founder biography.

Elyza: Elyza developed Japanese large language models and enterprise AI applications, building on top of open-source models including Llama to create fine-tuned Japanese language variants with high Japanese language quality, and offering enterprise AI services using its Japanese LLM capabilities for customer service, document processing, and content generation applications. The Tokyo company focused on the specific characteristics of Japanese language including script mixing, honorific speech levels, and domain-specific vocabulary.\n\nThe company raised approximately $30 million in venture funding before being acquired by KDDI, the Japanese telecommunications operator, in 2024. The acquisition gave KDDI an in-house Japanese AI capability to deploy across its telecommunications services and enterprise AI offerings for KDDI business customers, as Japanese telecoms operators compete to add AI features to their enterprise service portfolios.\n\nElyza operated in the Japanese LLM market alongside CyberAgent AI Lab, NTT AI research, and the open-source Japanese AI community centred around the National Institute of Informatics. The acquisition by KDDI reflects the pattern of large Japanese corporations acquiring AI startups to accelerate internal AI capability development rather than building Japanese-language AI expertise from scratch. Japanese LLM development requires significant training data in Japanese and expertise in Japanese language evaluation that international foundation model providers building Japanese language versions of their models must develop separately. 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, leveraging 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.

Elyza was founded first in 2019, giving it 2 years of additional market experience. MiniMax was founded later in 2021. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Elyza has approximately 1-50 employees, while MiniMax has approximately 400. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Elyza and MiniMax 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.