倒卖Token 隐秘的中转站生意有多暴利

This article provides a comprehensive overview of the token reselling business emerging in the age of large language models (LLMs). It outlines the risks of entering the industry for普通人 looking to profit, and shares practical tips for avoiding scams for people interested in using these reselling services.

1. Token resellers are AI computing power intermediaries that enable users to access major LLMs including GPT and Claude at low cost via a one-stop integration. They solve key pain points for individual users: official pricing is too high, topping up accounts across multiple platforms is cumbersome, and individual users cannot access official volume discounts. For casual use, the cost of tokens through resellers is just a few dollars, far lower than official subscription fees.

2. The market is no longer suitable for普通人 without existing resources to enter for arbitrage profits. The space is already crowded with intense price competition, and profit margins for resellers working with official channels are only around 30%. Most new small players shut down their sites within a week due to lack of customers and thin profits. Only players with existing private domain traffic and technical resources can turn a profit.

3. Individual users need to carefully vet resellers: they can detect diluted tokens by comparing model response styles, context window lengths, and charge details. They should also watch out for risks including unregulated access, data leaks, and scammers running off with user funds.

As large language model applications rapidly gain adoption, tokens have become a core commodity for AI operations. The rise of the token reselling sector offers important insights for brands looking to enter AI-related businesses.

1. Consumer demand and behavior: Individual users, small business owners and small developers have strong unmet demand for LLM tokens. They cannot afford high official subscription prices and find registering and topping up across multiple platforms inconvenient, so they widely accept low-cost, one-stop reselling services. Users prioritize service stability and positive brand reputation when choosing providers.

2. Marketing takeaways for established brands: Industry figures such as Justin Sun and Fu Sheng have already entered the space. They used heavy subsidies and points-based user acquisition to promote their value proposition of unified API access to all major LLMs, gaining over one million registered users in a short period, delivering strong traction for their broader businesses.

3. Risk mitigation for brands entering the space: Assisting users with unregulated access to overseas LLMs is illegal and crosses regulatory red lines. Diluting tokens, fraudulent practices, and data leaks will also severely damage brand reputation. Brands must operate strictly within a compliance framework.

Token reselling is a new business that emerged in the LLM era. Sellers considering entering the space need to understand the current market landscape, profit models and potential risks to make a rational entry decision.

1. Current market status: Early entrants once achieved monthly revenues of over one million yuan, but the market is now extremely crowded with cutthroat price competition. Profit margins for resellers sourcing tokens from official channels have shrunk to around 30%. The space is only suitable for large players with existing technology, resources and stable private domain traffic; new entrants without foundational resources are very unlikely to turn a profit, and many shut down within a week of launching.

2. Three mainstream profit models: First, arbitrage on token buy-sell spreads, with profit margins reaching over 50% (and even higher for unregulated sourcing channels). Second, revenue from idle cash: most users do not use up all the tokens they purchase, so operators can earn returns from the resulting沉淀资金. Third, training and AI consulting services, which is currently the most profitable model, with corporate consulting engagements earning thousands to tens of thousands of yuan per client.

3. Core risk warnings: Illegally assisting users to access overseas LLMs is a criminal offense in China. Exploiting official free trial quotas and sharing official accounts also carries a high risk of account bans, while fraudulent token dilution carries legal risks.

In the LLM era, tokens are a core production input for enterprises' digital transformation. The growth of the token reselling sector offers important insights for factories looking to implement AI applications and unlock new business opportunities.

1. Lowering AI implementation costs for factories: Factories use LLMs across many use cases in digital transformation, including product design, marketing content generation, and production management optimization, which often require access to multiple different models. Token resellers offer one-stop low-cost access to multiple models without the need for separate official subscriptions, drastically lowering the barrier to entry and cutting costs for small and medium-sized factories.

2. Unlocking monetization opportunities for idle token quotas: Many larger factories already have partnerships with LLM platforms that grant them very low-cost or even unlimited token allocations, most of which sit unused. Factories can share these idle quotas via compliant token reselling to unlock extra revenue from underutilized resources.

3. Lessons for digital transformation: Factories do not need high technical barriers or heavy capital investment to launch new AI-related business. They can adapt the reselling sector's asset-light resource integration model, target high unmet user demand to lower the cost of transformation trial and error. They must also prioritize compliant operations, protect user data security, and avoid crossing regulatory red lines.

Token reselling is an emerging niche sector spun out of the broader LLM industry, with clear unmet market pain points that create distinct growth opportunities for AI-focused service providers.

1. Industry development trends: As LLM applications gain adoption, overall market demand for tokens continues to grow. Small and medium-sized clients and individual users have strong unmet demand for low-cost, one-stop LLM access. The sector has evolved from an early blue ocean to a market dominated by established large players, and compliance and standardization are inevitable future trends.

2. Core current market pain points: First, official retail token prices are too high, and individual and small clients cannot access volume discount pricing. Second, subscribing to multiple separate models is cumbersome and creates high barriers to entry. Third, the market is highly fragmented and unregulated, so users cannot verify token authenticity, and face risks of data leaks and provider insolvency or fraud.

3. Actionable solution opportunities: Providers can launch token purity testing services to help users vet reliable resellers. Some players already offer this service, and testing data shows 60% of Claude reselling services dilute token volume, creating clear market demand. Providers can also launch compliant reselling services that integrate official API access to deliver stable, low-cost services to downstream users, building a trusted brand to capture a stable user base.

The rise of the token reselling sector reflects real unmet demand from downstream users in the LLM ecosystem, offering important insights and clear risk guidance for platform operators building LLM service businesses.

1. Core user demands from platforms: Users want unified API access to multiple major LLMs, lower pricing than official retail, and simplified top-up and onboarding processes to lower barriers for small and medium-sized users. This requires LLM service platforms to optimize their customer tiering frameworks and launch flexible small-usage packages to meet the differentiated needs of smaller users.

2. Operational and partnership best practices to adopt: Top early entrants used heavy subsidies and point-based promotions for user acquisition, positioning themselves around the value proposition of unified API access to all models, and gained large volumes of registered users quickly – this traction strategy is widely applicable. Platforms can also add a distribution agent model, offering agents 20%-40% commissions, to rapidly expand market reach.

3. Core risks to avoid: Reselling services must operate fully within compliance frameworks. Unauthorized cross-border access to overseas models crosses Chinese regulatory red lines. Platforms must avoid sourcing tokens via high-risk channels such as exploiting free trial quotas and sharing official accounts, which are prone to official bans. They must also implement strong user data protection and fund management to avoid data leaks and fraud risks that damage platform reputation.

Token reselling is an emerging intermediary业态 born from the development of the LLM industry. It reflects structural gaps in the current LLM ecosystem and is a noteworthy new industry development for research.

1. New industry trends: The widespread adoption of LLM applications and strong demand for computing power tokens from downstream small and medium-sized clients and individual users gave rise to the reselling业态. Well-known industry figures have already entered the space, driving rapid growth in sector popularity. A full distribution ecosystem has formed: original LLM developers → first-tier agents → multi-layer resellers → end users. Profit models have also diversified beyond traditional spread arbitrage to include cash沉淀 gains and training/consulting revenue.

2. New structural problems exposed by the sector: The industry has very low barriers to entry, leading to a fragmented and unregulated market. Problems such as token dilution and fraud, user data leaks, and providers absconding with user funds are widespread. Large numbers of operators use illegal methods to help users access overseas LLMs, crossing Chinese internet regulatory red lines and carrying severe legal risk, and the sector currently lacks clear industry standards and regulatory oversight.

3. Research takeaways: Current pricing and customer frameworks from original LLM developers are primarily designed for large enterprise clients, and do not adapt to the tiered demand of small and medium-sized clients and individual users – this gap is what spawned the reselling market. Future industrial policy development and industry standard setting will need to adjust to accommodate this emerging业态, balancing user demand with compliance management to guide healthy industry development.