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MiniMax

MiniMax is an AI foundation model company whose multimodal lineup spans the M3 language model, H3 video generation and speech and music models, delivered through open weights, a developer API platform and agent-oriented products such as MiniMax Code. It serves developers and enterprises rather than being a single end-user app.

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Aug 14, 2026
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What is MiniMax?

MiniMax is a global AI foundation model company, and the first thing worth establishing is which layer of it this entry describes. The address it is listed under is the corporate and developer portal, not any single consumer application. Navigate it and you find five sections — Models, Product, API, Research and Company — which is the structure of an organisation that builds models and sells access to them, not of a product with one job. The company was founded in early 2022 with a stated mission of Intelligence with Everyone and a declared goal of advancing towards artificial general intelligence.

That distinction matters because MiniMax is widely known through its downstream products rather than its name. Hailuo, the video generation line, is a MiniMax model family, confirmed by the company's own pricing documentation. Talkie, a character chat application, runs on its own separate domain. Someone arriving here expecting a single video generator or chatbot will instead find a model catalogue and an API console. Both layers are real; conflating them is the most common error in third-party descriptions of this company.

The scale claims are substantial and come from the company itself. Its About page states that its models and AI-native products have cumulatively served over 300 million individual users across over 200 countries and regions, plus more than one million enterprises and developers. These are vendor-published figures without independent audit, and worth noting they have moved quickly — third-party reporting on the company's IPO prospectus cited over 200 million cumulative users as of September 2025, so any user count attached to this company dates quickly. The corporate entity disclosed in the site footer is MAX BETA PTE. LTD., a Singapore-registered company, which reflects the international arm of the business.

The most consequential recent fact is not on the website at all. In January 2026 MiniMax Group listed in Hong Kong, and independent reporting recorded that the shares closed at HK$345, up 109% from its offer price of HK$165 on the first day, raising HK$4.8 billion, roughly $620 million. The founders, chief executive Yan Junjie and chief operating officer Yun Yeyi, both previously worked at SenseTime, and the company's backers include Alibaba and Tencent. It is now a publicly listed company whose financial disclosures are a matter of record — which, as the limitations section notes, cuts both ways.

Core Features

  • A multimodal model family rather than a single model: The catalogue spans text, video, speech and music. The company states its proprietary models can understand, generate, and integrate a wide range of modalities, including text, audio, images, video, and music, which is the defining characteristic of its research strategy.
  • M3, the flagship language and agentic model: Built on a self-developed sparse attention design. The company describes MSA (MiniMax Sparse Attention), a new attention architecture proposed by its team, supporting context windows up to one million tokens, with native image and video input and the ability to operate a desktop computer.
  • An open-weight positioning: Unusually for a company at this scale, weights are published. MiniMax claims M3 is the first and only open-weight model to bring all three together, referring to frontier coding, million-token context and native multimodality. Weights and code are distributed through official Hugging Face and GitHub organisations.
  • H3 for video generation: An open-weight, general-purpose, omni-modal generation model that occupies the top of the company's homepage, sitting alongside rather than replacing the older Hailuo video line.
  • Speech and music as separate product lines: The Models menu carries a dedicated Speech and Music section, with Speech 2.8 and an open-weights Music 3.0 model documented for production use.
  • MiniMax Code, an agent-oriented development product: Described as the coding harness built for MiniMax models, with features for building agent teams that evaluate tasks and assemble to solve them, learning a user's working habits, and turning repetitive tasks into custom skills. A desktop client is available.
  • A full developer platform: The API console covers documentation, subscription management, billing, a status page and a contact route, forming the enterprise-facing delivery channel.
  • A wider product surface: The company lists MiniMax Code, MiniMax Hub, MiniMax Audio, Talkie, and its Open API Platform as the AI-native products built on its models.
  • Ongoing published research: A research blog documents architecture and training work, including mathematical proof scaling and the attention design behind M3, which is a signal of an actual research operation rather than model reselling.

Use Cases

  1. Building applications on a lower-cost frontier model: The most common developer motivation. M3-class capability at published per-token rates well below leading closed models makes it attractive for volume workloads where cost per call dominates.
  2. Long-context document and codebase work: A million-token window suits tasks that otherwise require chunking and retrieval plumbing — whole repositories, lengthy legal or financial corpora, extended agent traces.
  3. Agentic and automation workflows: The company optimised explicitly for this, and its subscription tiers are even sized by how many agents run concurrently, which tells you what the intended workload is.
  4. AI video production: Through the Hailuo packages or the newer H3 model via API, for marketing, social and short-form content.
  5. Voice and music generation: Speech synthesis and music models for dubbing, audio content and product voice interfaces, available through the same platform and quota.
  6. Self-hosted or private deployment: The open-weight release path allows organisations with data residency or sovereignty requirements to run models on their own infrastructure rather than calling a hosted API.
  7. Coding assistance with an agent team model: MiniMax Code targets developers who want multiple coordinated agents rather than a single autocomplete assistant.

How to use MiniMax

  1. Decide which layer you actually need before signing up. If you want to generate a video, the product apps are the destination; if you are building software, the API platform is. The pricing, the keys and the documentation differ between them.
  2. Choose between pay-as-you-go and subscription deliberately. The platform documents these as two distinct categories with separate key systems, so switching later is not merely a billing change.
  3. Estimate cost against your actual token profile. M3 pricing tiers on input length, with a step up above 512k input tokens, so long-context workloads cost materially more than the headline rate suggests.
  4. Check model coverage before subscribing rather than after. Several models sit outside the standard subscription, and finding that out after paying is the most avoidable disappointment with this platform.
  5. Start on the free or lowest tier to benchmark on your own tasks. Published benchmark results are not a substitute for testing on your prompts, particularly for agentic workloads where reliability matters more than peak capability.
  6. Consider the open weights if you have infrastructure. Self-hosting removes per-token cost and data transfer concerns at the price of operational overhead, and this option genuinely exists here where it does not with most competitors.
  7. Read the licence terms on the weights themselves. Open-weight releases carry specific licence conditions that determine what commercial use is permitted; these live on the model repositories rather than the marketing pages.
  8. Monitor the status page for production workloads, and treat model version changes as a real migration event given how quickly this catalogue iterates.

Tips & Best Practices

  • Do not assume a subscription covers everything the company makes. The quota documentation is explicit that certain models are excluded, and the exclusions tend to be the newest and most interesting ones.
  • Budget for the rolling quota windows rather than a monthly total. Consumption is limited on five-hour and weekly windows, which constrains burst workloads in a way a monthly cap would not.
  • Treat vendor benchmark claims as a starting point. The company's own comparisons place its models near leading closed-source systems; validate that on your own evaluation set before committing an architecture to it.
  • Pin model versions in production. With multiple generations shipping within months, a floating model reference will change behaviour underneath a running system.
  • Separate the video decision from the language model decision. Hailuo and H3 have different capabilities, different billing paths and different plan coverage, so treat them as distinct procurement questions.
  • Factor geopolitical and supply considerations into long-term dependence. Independent reporting notes the company operates amid US export restrictions on advanced AI training chips to China, which is a structural risk to model roadmaps rather than a comment on current quality.
  • Use the open weights for evaluation even if you deploy via API. Running a model locally is the fastest way to understand its failure modes without burning API credits.
  • Keep an eye on the research blog rather than only the product pages, since architecture changes there usually precede pricing and capability changes downstream.

Who is MiniMax for?

  • Application developers and startups: The core audience for the API platform, especially those where per-token cost determines whether a product's unit economics work.
  • Enterprises needing multimodal capability from one vendor: Teams that would otherwise integrate separate providers for text, video, speech and music can consolidate onto one platform and one quota.
  • Teams building agentic systems: Given the explicit optimisation for agent workloads and the agent-team framing of MiniMax Code, this is the workload the company is designing for.
  • Organisations with self-hosting requirements: Open weights make on-premise or sovereign-cloud deployment feasible, which closed-model vendors cannot offer at all.
  • Researchers and the open model community: Published weights and architecture papers make this a company whose output is directly usable in research contexts.
  • Content and media production teams: Users of the video, speech and music lines for production work rather than for building software.
  • Less suited to non-technical end users seeking one simple tool: This entry is a model platform. Someone wanting a finished consumer app should look at the individual products instead.

Platforms

  • Developer API platform: The primary enterprise channel, with documentation, console, token plans, billing and a public status page.
  • Open weight distribution: Official organisations on Hugging Face and GitHub publish model weights and reference code for self-deployment.
  • MiniMax Code, including a desktop client: The coding product ships a downloadable desktop application in addition to its web presence.
  • MiniMax Design: A separate web application for design and visual generation workflows, reachable on its own subdomain.
  • MiniMax Audio: The speech and audio product surface, hosted under the main site.
  • Talkie: A character-chat product on an entirely separate domain, which is why it is often not recognised as part of the same company.
  • Community and support channels: A Discord community, X and LinkedIn presences, and a direct API contact address are all published in the site footer.

Pricing & Plans

MiniMax splits pricing along one axis, and the documentation states it plainly: real-time per-call billing under API Pricing, or fixed monthly quotas under Subscription Plans, with each category having its own key system. The first is aimed at enterprises with variable load; the second at individuals and small teams who want predictable spend.

On the pay-as-you-go side, the published rates are the most concrete pricing evidence available for this company. For M3 at or below 512k input tokens, the documented rate is $0.30 per million input tokens and $1.20 per million output tokens, both marked as reflecting a standing 50% discount, with prompt cache reads at $0.06. Above 512k input tokens the rates double. That input-length tier is easy to miss and matters a great deal for exactly the long-context workloads the million-token window is meant to enable.

The subscription side has three published tiers: Plus at $20 a month, Max at $50 and Ultra at $120. The differentiator between them is not only quota but concurrency — the documentation describes each tier by how many agents it comfortably supports, from three to four at the entry level up to six or seven at the top. Quotas operate on 5-hour rolling and weekly windows rather than a single monthly allowance, which shapes how bursty work can be.

The exclusions are the part to read carefully. Subscription coverage spans the main lineup, but the documentation notes that a small number of special models, naming H3, voice design, rapid voice cloning and others, are not currently supported. Separately, video packages support Hailuo video models while H3 requires pay-as-you-go or a custom sales arrangement. Anyone budgeting around the newest video model should confirm the billing path before assuming a subscription covers it.

Alternatives

  • OpenAI: The default comparison for frontier language and multimodal capability, closed-weight, generally higher priced, with a deeper enterprise tooling ecosystem.
  • Anthropic: Particularly relevant for coding and agentic work, where MiniMax positions its own models comparatively; closed weights and a different safety and deployment posture.
  • DeepSeek and Qwen: The closest structural comparisons — Chinese labs also publishing open or open-weight models at aggressive price points, competing directly for the cost-sensitive developer segment.
  • Zhipu AI: A direct domestic peer, notable because it listed in Hong Kong one day before MiniMax, making the two the most obvious like-for-like comparison in the market.
  • Meta Llama and Mistral: The Western open-weight alternatives for teams whose requirement is self-hosting rather than a specific capability.
  • Runway, Pika and Kling: The comparison set for the video line specifically, rather than for the platform as a whole.
  • ElevenLabs and Suno: Specialist competitors on the speech and music sides, generally deeper in their single modality than a generalist platform.

Limitations & Considerations

  • The company is deeply unprofitable, and this is documented: Its IPO prospectus, as reported independently, showed revenue of $53.4 million for the nine months to September 2025, up around 174%, alongside a net loss of $512 million over the same period. Rapid growth and heavy losses together are the accurate picture.
  • The company describes itself as commercially immature: It stated it remains in a nascent stage in terms of monetization and commercialization after years focused on foundational models. That is a candid disclosure, and it is relevant to anyone assessing long-term platform stability.
  • User figures move fast and disagree across sources: The site's own About page, its homepage metadata and its IPO prospectus have all carried different cumulative user counts within roughly a year. Treat any such number as a snapshot, not a fact with a long shelf life.
  • Benchmark leadership claims are vendor-stated: The assertion that M3 is the only open-weight model combining frontier coding, million-token context and native multimodality is the company's own framing, not an independent finding.
  • Subscription coverage has real gaps: Several models, including the newest video model, fall outside standard subscription plans, so plan value depends on which models you actually need.
  • Two generations of video model coexist: Hailuo and H3 have different plan eligibility and billing paths, which creates avoidable confusion when purchasing.
  • Geopolitical exposure is structural: Independent reporting places the company within the context of US export controls on advanced AI training chips to China, which is a genuine consideration for multi-year platform dependence.
  • Corporate and product layers are easy to confuse: Because Hailuo and Talkie are better known than the parent name, documentation, community answers and directory listings frequently attribute the wrong capabilities to the wrong layer.
  • Privacy documentation was not independently verifiable here: The site's legal pages are served through a client-rendered shell that did not yield stable policy text during research, so the privacy section below describes only what could be directly confirmed.

Privacy & Data

What can be verified directly on the site is the consent layer rather than the full policy text. The site operates a tiered cookie consent mechanism that goes beyond a simple accept banner: users are told they may reject non-essential cookies or personalize the types of cookies they would like to allow, with explicit Reject All and Customize controls alongside the accept option, and a linked cookie policy. The stated purposes are to enhance site navigation, analyze site usage, and assist in our marketing efforts.

The operating entity for the international site is disclosed in the footer as MAX BETA PTE. LTD., a Singapore-registered company. This matters for data governance questions, because the jurisdiction of the contracting entity determines which regime applies, and for a company headquartered in China with a Singapore international arm this is not a trivial detail. Enterprise buyers should confirm which entity their contract is actually with.

Beyond that, this section deliberately stops short. The privacy policy is served through a client-rendered application shell that returned no stable policy text during research, so no specific claims about retention periods, training data use, or data subject rights are made here. Anyone with a compliance requirement — particularly around whether API inputs may be used for model training, which is the question that matters most for enterprise adoption — should obtain the current policy and a data processing agreement directly from the company rather than relying on any third-party summary, including this one.

FAQ

Q1. Is MiniMax a single product or a company?

A company, and this entry covers the company and its developer platform rather than any one application. MiniMax is a global AI foundation model company founded in early 2022. Its products — MiniMax Code, MiniMax Hub, MiniMax Audio, Talkie and the Open API Platform — are built on models it develops itself. Several are better known than the parent brand, which is the usual source of confusion.

Q2. Is Hailuo the same thing as MiniMax?

Hailuo is MiniMax's video model line, not a separate company. The relationship is confirmed by the company's own billing documentation, which states that video packages support Hailuo video models while noting that the newer H3 model is not yet covered by those packages. So Hailuo sits inside MiniMax rather than beside it.

Q3. What is M3 and what makes it notable?

M3 is the flagship language and agentic model. Its distinguishing features are a self-developed sparse attention architecture — MSA (MiniMax Sparse Attention), a new attention architecture proposed by the team — a context window up to one million tokens, and native multimodality including image and video input. The company claims it is the first and only open-weight model to bring all three together.

Q4. Are the models really open source?

They are open weight, which is a meaningful but narrower claim. Weights are published through official Hugging Face and GitHub organisations and can be downloaded and self-hosted. Whether a given release qualifies as open source in the strict licensing sense depends on the licence attached to that specific model, so check the repository terms for your intended commercial use.

Q5. How much does the API cost?

For M3 at or below 512k input tokens, the documented rate is $0.30 per million input tokens and $1.20 per million output tokens, described as a standing 50% discount, with cached prompt reads at $0.06. Above 512k input tokens the rates double. Subscriptions are separate: Plus at $20 a month, Max at $50 and Ultra at $120.

Q6. What is the difference between the subscription and pay-as-you-go?

They are two distinct billing systems with separate keys. The documentation describes real-time per-call billing under API Pricing, or fixed monthly quotas under Subscription Plans. Pay-as-you-go suits variable enterprise load; subscriptions suit predictable individual and small-team spend, but come with quota windows and model exclusions.

Q7. Does a subscription cover every model?

No, and this is the most important caveat in the pricing. The documentation states that a small number of special models, including H3, voice design, rapid voice cloning and others, are not currently supported under the standard plans. Confirm coverage for the specific models you need before subscribing.

Q8. Is the company financially stable?

It is publicly listed and well capitalised, but not profitable. Its IPO prospectus showed revenue of $53.4 million for the nine months to September 2025 against a net loss of $512 million over the same period, and the company itself said it remains in a nascent stage in terms of monetization and commercialization. Its January 2026 listing closed at HK$345, up 109% from its offer price of HK$165.

Q9. Who operates the international service?

The site footer discloses the entity as MAX BETA PTE. LTD., a Singapore-registered company, for the international portal. The listed group is MiniMax Group, whose founders are chief executive Yan Junjie and chief operating officer Yun Yeyi, both formerly of SenseTime, with Alibaba and Tencent among its investors.

Q10. How is my data handled?

The site provides a tiered cookie consent flow letting users reject non-essential cookies or personalize the types of cookies they would like to allow, with stated purposes covering site navigation, usage analysis and marketing. The full privacy policy could not be retrieved as stable text during research because the legal pages are client-rendered, so for compliance purposes obtain the current policy and a data processing agreement directly from the company. (信息待验证)

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