Multi-Model Free AI Aggregator Platform Review: Token Quotas and Agent Capabilities Fully Analyzed

Introducing a Free AI Platform That Aggregates Multiple Large Models

A multi-model AI aggregation platform has recently entered closed beta, drawing significant attention in developer circles thanks to its massive free token quotas. As shared by Bilibili creator Keshe, the platform is currently in an internal activity phase — users who receive an internal invite can access several popular models for free every day, making it a worthwhile resource window for individual developers and AI enthusiasts.

A quick note: the model names mentioned in this article (such as DeepSeek V4.1 Flash, Doubao, GLM 5.3 Flash, Qwen 3.8 Max, etc.) are based on the creator's verbal descriptions. Some version numbers may contain recognition errors or reflect internal platform naming conventions. Always refer to official sources when using these models in practice. The stability and long-term availability of free platforms like this cannot be guaranteed, and this article is intended purely as an informational overview and rational analysis.

Detailed Breakdown of Free Token Quotas for Each Model

Current Daily Free Quotas per Model

According to the creator's walkthrough, the daily free token quotas vary significantly across models and are subject to dynamic adjustments during the activity period:

Model	Daily Free Token Quota
Qwen 3.8 Flash	~10 billion tokens
DeepSeek V4 Flash	~1 billion tokens
Doubao	~100 million tokens
GLM 5.3 Flash	~100 million tokens
Qwen 3.8 Max	~50 million tokens (previously up to 10 billion)

These figures reveal a clear differentiation strategy: lightweight Flash models, which have lower inference costs, tend to receive far more generous free quotas, while high-performance Max models are allocated comparatively less. Notably, Qwen 3.8 Max's quota dropped sharply from 10 billion to just 50 million tokens — a stark reminder of the inherent uncertainty of free tiers, as quotas fluctuate with platform operating costs and campaign cycles.

Upcoming DeepSeek New Version

The creator also revealed that the platform plans to roll out the newly released DeepSeek V4.1 model in the near future, with an estimated daily free quota of 100 million to 500 million tokens. For users following the DeepSeek series, this represents a low-cost opportunity to try out the latest version.

Website Generation and Agent Creation: Testing Built-In Application Capabilities

Multi-Scenario Generation Tools Out of the Box

The platform's value goes beyond providing free large model API access — it also integrates several ready-to-use application-layer capabilities. According to the walkthrough, users can accomplish the following directly within the platform:

• Website generation: Quickly build functional websites
• Agent creation: Build custom AI agents
• Mini-program development: Generate Hermes mini-programs
• Game projects: Develop simple interactive games

This integrated design significantly lowers the barrier to entry. The creator emphasized that the platform offers multiple models for users to choose from freely, with no API key configuration required — a major plus for users who aren't familiar with API integration. The platform also includes pre-built prompt templates for specific scenarios (such as video-related content and cross-domain e-commerce), further streamlining workflows.

Real Usage Data and Cost Analysis

The creator shared actual usage data from the past 30 days: one development account consumed approximately 360 million tokens in total, all from the free quota, with zero fees incurred. A separate Web Coding workbench account was also shown, operating entirely on free token allowances.

Looking at generated website examples, the creator built a tool site covering multiple video-related industries and categories, with all features available via one-click generation and no additional configuration needed. While the setup process requires some time investment, the free token quotas from the platform keep overall operating costs extremely low.

Opportunities and Risks: A Rational Assessment

For developers and AI creators, these multi-model aggregation platforms do offer valuable opportunities for low-cost experimentation. Being able to compare different models side-by-side on the same task — before committing to paid API usage — has real practical value.

That said, rational judgment is essential. Here are several risk factors to keep in mind:

Sustainability Is Uncertain

The sharp reduction in Qwen 3.8 Max's quota demonstrates that free campaigns can be adjusted or terminated at any time. It is not advisable to incorporate such a platform into production environments as a long-term dependency. Always be prepared for quotas to tighten without warning.

Data Security Deserves Attention

When using third-party aggregation platforms, your input data may be processed through an intermediate layer. Exercise particular caution in scenarios involving sensitive data or business secrets, and carefully evaluate data privacy risks before deciding to use the platform.

Verify Information Accuracy

Model version labels and token quota figures displayed on the platform should be verified through actual usage. Some model names and version numbers mentioned verbally by the creator may contain inaccuracies — always confirm details directly within the platform itself.

Conclusion: How to Make Smart Use of Free AI Aggregation Platforms

This closed-beta AI aggregation platform — with its multi-model integration, massive free token quotas, and built-in website and Agent generation capabilities — offers individual developers a worthwhile sandbox to explore. The creator's real-world record of consuming 360 million tokens over 30 days at zero cost demonstrates that the current activity period does provide genuine value.

However, as with all time-limited free opportunities, the core value of such platforms lies in present-day experimentation and learning, not long-term infrastructure reliance. Readers interested in trying it out are encouraged to assess the situation rationally: treat it as a supplementary tool for model comparison testing and rapid prototyping, and have a contingency plan ready for potential future charges or quota adjustments.