SuperAPI AI Directory

What AI large model API aggregation platforms are there? 15 third-party proxy platforms recommended

Author: AI小集 · Original source: AI工具集

The emergence of AI large models has brought revolutionary breakthroughs to the field of artificial intelligence. With the emergence of numerous AI large models, enterprises and developers are faced with how to efficiently utilize these models. This article will introduce 15 AI large model API aggregation platforms. Through standardized API interfaces, they encapsulate and integrate the functions of various AI large models, allowing users to conveniently access and call the services of multiple AI large models on a unified platform. As an important bridge connecting AI large models and users, AI large model API aggregation platforms provide developers with powerful tools and also provide strong support for the digital transformation of various industries.

Ark Agent Plan

Ark Agent Plan The first integrated Agent solution launched by Volcano Engine, packaging and integrating multimodal large models with Harness tools. It aggregates ByteDance's self-developed models such as Doubao-Seed and Seedance, as well as GLM-5.1、Kimi-K2.6 and other mainstream third-party models, with built-in tools such as web search and Embedding. It adopts AFP unified billing, covering all scenario needs from individual developers to AI studios, and supports one-click access for tools such as Claude Code and OpenClaw.

Ark Coding Plan

💪Core Advantages

  • The industry's first Agent package: For the first time, multimodal large models and Harness tools are packaged and integrated, reducing the fragmentation cost of accessing multiple tools.
  • Multimodal productivity loop: One package can support a complete Agent workflow from text programming to video/image generation, without the need to pay separately for different resources.
  • High cost-performance entry threshold: The Small version costs only 40 yuan per month, and its basic quota is several times that of the Claude Pro Plan, greatly reducing the cost of trying out Agents.
  • ArkClaw native collaboration: Medium and above subscribers can experience for free the cloud-based "lobster" optimized based on OpenClaw, supporting "raising shrimp and horses together" and long-term work habit learning.

iFlytek Spark MaaS

iFlytek Spark MaaSis a one-stop large model service platform launched by iFlytek, integrating inference APIs, model fine-tuning, and developer subscriptions. It brings together mainstream models such as DeepSeek, Qwen, GLM, Kimi, MiniMax, and iFlytek Spark, providing dual modes of zero-code one-sentence fine-tuning and professional-grade deep customization. It launches the Astron Coding Plan coding subscription, replacing pay-as-you-go billing with a fixed monthly fee, and is compatible with mainstream programming tools such as Cursor.

iFlytek Spark MaaS

💪Core Advantages

  • Unified entry point for multiple models: It aggregates mainstream foundations such as DeepSeek, Qwen, GLM, Kimi, MiniMax, and iFlytek Spark, enabling one-stop switching and eliminating the cumbersome process of connecting with multiple vendors separately.
  • Dual-path model customization: Users with no foundation can quickly generate exclusive models through scenario descriptions; professional developers can upload datasets for deep fine-tuning, covering needs at all stages.
  • Automated data preprocessing: Built-in tools for intelligent document segmentation, automatic question-answer pair extraction, and data augmentation directly convert unstructured materials into training materials.
  • Developer subscription model: Astron Coding Plan replaces pay-as-you-go billing with a fixed monthly fee, completely avoiding the risk of overdraft arrears, and is compatible with mainstream programming tools such as Cursor and Claude Code.
  • Chinese scenario optimization: Preset localized datasets such as sentiment classification, product copywriting, and social media styles, making it more suitable for domestic business scenarios.

ZenMux

ZenMux is the world's first enterprise-grade large model aggregation platform that supports an insurance payout mechanism. It provides a unified API interface, allowing developers to easily access and call advanced AI models from top global providers such as OpenAI, Anthropic, Google, DeepSeek, and others. It automatically selects the optimal model based on task characteristics and provides insurance payouts, solving the problems of unstable AI output and hallucinations.

ZenMux

💪Core Advantages

  • Intelligent Routing and Insurance Mechanism: Automatically selects the optimal model based on task characteristics and provides insurance payouts, solving the problems of unstable AI output and hallucinations.
  • Dual Protocol Support: Compatible with OpenAI and Anthropic protocols, seamlessly integrating with mainstream tools.
  • High Availability and Performance Optimization: Multi-provider architecture, automatic switching to ensure service continuity, and optimization of latency and throughput.
  • Cost Control and Privacy Protection: Transparent pricing, support for local model deployment, and meeting privacy and compliance requirements.

OpenRouter

OpenRouteris a powerful AI model aggregation platform that provides users and developers with a unified interface to access a variety of AI language models. The platform aggregates more than 400 models, including GPT-4, Claude, PaLM, and others, supports proprietary and open-source models, and can be easily accessed through OpenRouter. It supports real-time web search, multimodal input, tool calling, and other features, places great emphasis on user privacy, and provides a zero-logging mode and transparent data policies.

OpenRouter

💪Core Advantages

  • High Model Diversity: It aggregates more than 400 AI models, covering proprietary and open-source models. Users do not need to connect to multiple providers separately and can obtain diverse model capabilities through one platform to meet the needs of different scenarios.
  • Low Usage Cost: It provides flexible pricing strategies, including pay-as-you-go and subscription models. Users can choose the appropriate plan according to their own needs, and the cost is more advantageous compared with purchasing multiple model services separately.
  • Good Integration Convenience: It provides a unified API interface, simplifying the integration process with different models. Developers can quickly integrate OpenRouter into their own applications, reducing development difficulty and time costs.
  • Strong Functional Extensibility: It supports real-time web search, multimodal input, tool calling, and other functions, which can meet users' diverse needs in complex scenarios and enhance the application value of the models.
  • Strict Privacy Protection: It adopts a zero-logging mode and transparently manages user data, ensuring user privacy and security, so users have no worries during use.
  • Developer-Friendly: It provides detailed documentation and sample code to help developers get started quickly. It also has a model playground for users to test different models and optimize the usage experience.

AI Ping

AI Pingis a large model API aggregation and scheduling platform that simplifies the complex "model marketplace" and cumbersome technical integration work into a stable, unified interface. It has powerful intelligent routing capabilities and can automatically select the optimal model for users based on factors such as task type, cost control, performance, and availability. AI Ping is also an evaluation platform for large model users, providing comprehensive, objective, and real performance comparison data for large model services.

AI Ping

💪Core Advantages

  • Automatically Select the Optimal Model: AI Ping can automatically select the most suitable model from many available large models for invocation based on factors such as the user's specific task requirements, cost budget, and performance requirements. For example, for some text generation tasks with very high real-time requirements, it can prioritize models with fast response speeds; for tasks requiring deep semantic understanding, it will match models with strong semantic understanding capabilities.
  • Dynamic adjustment: It can monitor the status and performance of each model in real time. If a model experiences performance fluctuations or cost increases at a certain moment, AI Ping can quickly adjust the routing strategy and switch to another more suitable model, ensuring service stability and cost-effectiveness.
  • Unified interface: It provides users with a stable, unified interface, simplifying the complex "model marketplace" and cumbersome technical integration work. Users do not need to deeply understand the complex invocation interfaces and parameter settings of each large model; they only need to use the standardized interface provided by AI Ping to conveniently access various large models, greatly lowering the threshold for users to use large models.
  • Flexible configuration options: AI Ping allows users to configure to a certain extent according to their own needs. Users can adjust the priority of model invocation and set cost caps to a certain extent, better meeting personalized needs.

TokenPony

TokenPony(TokenPony) is an AI large model aggregation service platform under Xunmeng Technology, focused on providing developers, enterprises, and small teams with unified and convenient AI capability access services. Through a single API interface, the platform integrates many mainstream large models at home and abroad, such as DeepSeek, Kimi, Qwen, etc., covering various functions such as text generation, dialogue interaction, and code writing. Users do not need to connect with each vendor separately; they can call all models with just one interface, greatly simplifying the development process.

TokenPony

💪Core advantages

  • Cost-effective service: Through its self-built hybrid cluster of H200 and Ascend chips, as well as its self-developed distributed inference framework, TokenPony achieves efficient computing power scheduling and cost control, providing users with cost-effective AI services.
  • Enterprise-grade stability: The platform has strong stability and can support uninterrupted operation 24/7, meeting the high requirements of enterprise-grade applications.
  • Unified interface access: TokenPony provides a single API interface and integrates many mainstream large models at home and abroad. Users do not need to connect with each vendor separately, greatly simplifying the development process.
  • Fast response capability: The platform's average response time is controlled within 500 milliseconds, ensuring that users can obtain fast AI services.
  • Intelligent routing and optimization: TokenPony has intelligent routing capabilities and can automatically select the optimal model according to user needs. It also provides features such as elastic concurrent processing and visualized logs to help users optimize model selection and request parameter settings.

Amazon Bedrock

Amazon BedrockIt is a fully managed AI service launched by Amazon Web Services, integrating foundation models from the world's top AI companies (such as Claude, Meta, Google, etc.), and providing unified access through a single API. It supports enterprises in rapidly experimenting with, fine-tuning, and deploying generative AI applications, and features core technologies such as model distillation and automated reasoning checks, effectively reducing costs and improving performance. The AgentCore toolkit can securely orchestrate multi-model collaboration and is suitable for scenarios such as virtual assistants and text generation. It provides more than 400 commercial and open-source models, realizing the strategy that "choice is greater than everything," helping enterprises flexibly combine different models to handle complex tasks.

Amazon Bedrock

💪Core Advantages

  • Multi-model access: Amazon Bedrock provides access to a variety of pre-trained foundation models, and users can call different models through a single API without managing multiple vendor relationships. This includes Amazon Titan, Anthropic Claude, AI21 Labs Jurassic, Cohere Command, Meta Llama, and Stability AI, among others. Users can choose the most suitable model according to specific needs.
  • No infrastructure management: Bedrock is a fully managed serverless platform that requires no user configuration or server management. It automatically handles operations such as resource scaling, patch updates, and monitoring, and users only pay for actual API calls and processed tokens, with no upfront investment required.
  • Powerful scalability: The platform can automatically scale resources according to demand and supports multi-region deployment worldwide, ensuring that applications maintain stable performance under different loads and can respond to changes in workload without manual intervention.
  • Deep integration with the AWS ecosystem: Amazon Bedrock seamlessly integrates with the AWS ecosystem and can work in concert with services such as Amazon S3, Lambda, and SageMaker. Users can build powerful end-to-end AI applications in a familiar AWS environment without re-architecting existing systems.
  • Strong security and compliance: Bedrock inherits AWS's security framework and provides data encryption, access control, and compliance certifications. User data remains private in Bedrock, is not used to train foundation models, and access permissions can be managed through AWS IAM.

n1n

n1n It is a one-stop large model API aggregation and management platform, focused on providing users with efficient and convenient AI services. It supports access to more than 500 top large models worldwide, including GPT-5, Claude 4.5, Gemini 3 Pro, and others, meeting diverse needs in different scenarios. The platform not only supports text generation, but also has generation capabilities for multiple modalities such as images, video, and audio, providing strong support for creativity and content creation.

n1n

💪Core Advantages

  • Multi-model access: Provides access to more than 500 top large models worldwide, covering a variety of mainstream models and meeting diverse needs.
  • Multimodal support: Supports generation across multiple modalities such as text, images, video, and audio, suitable for a wide range of scenarios.
  • Network-friendly: No need for a VPN, direct global connection, and connection speed far exceeds the official one.
  • Low latency and high availability: Uses a distributed architecture and intelligently schedules requests to ensure stability and low latency under high concurrency.
  • Price advantage: New users get free quota, and the overall price is as low as 0.95 of the official price, with some models priced even lower.
  • High security: Provides bank-level encrypted transmission to ensure user data security.
  • Flexible payment: Supports multiple payment methods such as Alipay, WeChat, Stripe, and USDT.
  • Ease of Use: Provides detailed documentation and SDKs for easy integration and use.

胜算云

胜算云is a global AI large model computing infrastructure enterprise supported by the Yangtze River Delta National Technology Innovation Center, providing "out-of-the-box" computing power and model services for AI startups. The platform is centered on four core modules: "Computing Power Marketplace, Second-Level Cluster Provisioning, Intelligent Routing, and Model Supermarket." Through cross-cloud elastic scheduling technology, 胜算云 enables direct rental and price comparison of global GPU resources, supports pay-as-you-go billing, and significantly reduces AI computing costs. The platform provides an intelligent routing gateway for large models, supports multimodal invocation of 100+ mainstream large models worldwide, and automatically selects the optimal model through its self-developed engine.

💪Core Advantages

  • Direct Rental and Price Comparison of Global Resources: Through cross-cloud elastic scheduling technology, 胜算云 integrates global GPU resources to enable direct rental and price comparison. Users can quickly find the most cost-effective computing resources on the platform, significantly reducing the cost of AI development and applications.
  • Pay-as-You-Go Billing Model: Adopts a flexible pay-as-you-go billing method, where users only pay for the computing resources actually used, avoiding resource waste and high idle costs in traditional computing power leasing.
  • Second-Level Computing Power Scheduling: The platform supports second-level computing power scheduling, can quickly respond to users' computing power needs, enables instant allocation and use of computing resources, and improves development and deployment efficiency.
  • Elastic Computing Power Scaling: Based on dynamic changes in users' business needs, 胜算云 provides elastic computing power scaling services, ensuring that computing power can be quickly increased during business peaks and resource usage reduced during troughs, achieving efficient resource utilization.
  • Multimodal Model Support: 胜算云 supports multimodal invocation of 100+ mainstream large models worldwide, covering multiple modalities such as text, images, and speech to meet the needs of different application scenarios.
  • Intelligent Routing and Model Recommendation: Through its self-developed intelligent routing engine, the platform can automatically analyze user needs and select the optimal model for invocation, ensuring optimal model performance and results.

MegaLLM

MegaLLMis a powerful AI service platform that provides users with a unified interface to access 70+ large language models from multiple providers. Through MegaLLM, users can easily switch between different models without rewriting code. It features automatic failover, so when one model has an issue, it can automatically switch to another available model, ensuring high service availability. MegaLLM provides unified billing, allowing users to manage all AI usage costs through a single bill. For developers, MegaLLM greatly simplifies the integration process with different AI model providers, shortening work that might originally take weeks to just a few minutes.

MegaLLM

💪Core Advantages

  • Multi-Model Integration: Provides a unified interface to access 70+ large language models from multiple providers, making it convenient for users to switch between different models without rewriting code.
  • High Availability: Features automatic failover, so when one model has an issue, it can automatically switch to another available model, ensuring continuous and stable service.
  • Simplified Integration: Greatly simplifies the integration process with different AI model providers, shortening work that might originally take weeks to just a few minutes.
  • Unified Billing: Users can manage all AI usage costs through a single bill, making cost management convenient.
  • Real-time monitoring: Provides an analytics dashboard where users can monitor API usage, costs, and performance metrics in real time.

DMXAPI

DMXAPI is an intelligent large model API aggregation service provided by LangChain Chinese Network, helping developers easily access and use the world's leading AI large models. It integrates more than 300 large models, including mainstream models such as GPT-4, Claude, and LLaMA, covering multiple functions such as text generation, image generation, speech recognition, and video generation. DMXAPI is suitable for e-commerce, AIGC, AI customer service, data analysis, image understanding, and many other industries and application scenarios.

DMXAPI

💪Core advantages

  • Model aggregation: With a single API Key, you can call a variety of large models around the world.
  • Multimodal support: Supports multiple modalities such as text-to-text, text-to-image, text-to-video, and text-to-audio.
  • High concurrency and high performance: Supports 30,000+ requests per minute, with stability reaching 99.99%, and unlimited concurrency support for enterprise customers.
  • Cost optimization: Through cooperation with the original large model manufacturers, it provides highly competitive prices, with overseas models as low as 30% off.
  • Compatibility: Fully compatible with the OpenAI interface protocol, supporting seamless integration with existing applications.
  • Data security: Does not store any customer data, ensuring information security.

APIMart

APIMart is a unified AI API platform that provides access to more than 500 mainstream AI models. It supports multiple AI capabilities such as chat, video generation, image generation, and music generation, and is fully compatible with OpenAI's API format. Users only need to change one line of code to migrate from OpenAI to APIMart. The platform adopts a pay-as-you-go model, saving 30% to 70% of costs compared with competitors, while providing 99.9% high availability. APIMart provides detailed usage analysis and cost tracking to help users optimize expenses.

APIMart

💪Core advantages

  • Rich models: APIMart provides access to more than 500 mainstream AI models, covering multiple AI capabilities such as chat, video generation, image generation, and music generation, meeting the diverse needs of different users in different scenarios.
  • Convenient migration: Fully compatible with OpenAI's API format. Users only need to change one line of code to migrate from OpenAI to APIMart, reducing migration cost and difficulty.
  • Cost advantage: Adopts a pay-as-you-go model, saving 30% to 70% of costs compared with competitors, helping users effectively control expenses while enjoying AI services.
  • High availability: The platform provides 99.9% high availability, ensuring that users can obtain stable and reliable AI services during use.
  • Cost management: Provides detailed usage analysis and cost tracking functions, helping users better understand and optimize expenses.

AiOnly

AiOnly is a professional one-stop large model API aggregation platform that integrates dozens of the world's top AI models, including GPT, Claude, Gemini, DeepSeek, Qwen, and others. Through a unified RESTful API interface, it provides users with comprehensive AI capability services such as text generation, image creation, video production, and speech processing. AiOnly has built-in practical functions such as Prompt optimization tools and RAG knowledge base management, helping users improve the efficiency and output quality of interactions with large models.

AiOnly

💪Core advantages

  • Multi-Model Integration: Covers multiple generation tasks such as text, images, speech, and video, so users do not need to switch between different platforms.
  • Simplified Access Process: Provides a unified access point to help users bypass complex network configurations and overseas payment difficulties.
  • Developer-Friendly: Provides standardized API interfaces compatible with the OpenAI API format, reducing integration and development costs.
  • Fusion Mode: One API Key can simultaneously call models, knowledge bases, and components, with no need to handle them separately in code.
  • Global Node Coverage: Multiple overseas nodes ensure millisecond-level response speed.
  • Security Certification: Passed ISO27001 security certification to ensure data security.
  • Cost Optimization: The dynamic billing model can save more than 70% of costs compared with self-built nodes.

PPIO Paio Cloud

PPIO Paio Cloud(Oupai Computing Cloud) is a platform focused on AI computing power services, supporting large model API services and providing full-modal API calls, covering multiple modalities such as large language models, images, audio, and video, and supporting 30+ mainstream open-source and commercial models. Its API services are compatible with standard protocols such as OpenAI and LangChain, with stability reaching 99.9%. Developers do not need to be proficient in machine learning to quickly call large model functions through APIs and build AIGC applications. The service supports on-demand calls and pay-as-you-go billing, and combined with self-developed inference acceleration algorithms, it significantly reduces inference costs.

PPIO

💪Core Advantages

  • Full-Modal API Services: Provides API services for multiple modalities including large language models, images, audio, and video. Developers do not need to be proficient in machine learning to quickly build AIGC applications such as chatbots and image generators.
  • High Performance and Stability: API stability reaches 99.9%, inference performance is deeply optimized, and inference cost advantages are significant, meeting enterprises' pursuit of high performance and low cost.
  • Elastic Scaling and Cost Optimization: Supports on-demand calls and pay-as-you-go billing. Computing resources can be scaled in seconds, saving 40% to 70% of costs compared with traditional cloud services.
  • Simple and Easy to Use: Fully API-based interfaces integrate seamlessly with mainstream AI frameworks, allowing developers to get started quickly and focus on core business logic.

OneThingAI

OneThingAI is a one-stop AI computing cloud and model API service platform launched by Wangxin Technology, focusing on providing developers, enterprises, and AI creators with efficient, flexible, and affordable GPU computing resources and an AI application ecosystem. In terms of model API services, OneThingAI provides a rich set of pre-trained model interfaces, covering multiple fields such as natural language processing, image recognition, and speech processing. Through these APIs, developers can quickly access high-quality AI models without training from scratch, greatly saving time and cost.

OneThingAI

💪Core Advantages

  • Rich Model Library: Provides high-quality pre-trained models covering multiple fields such as natural language processing, image recognition, and speech processing to meet diverse needs.
  • Fast Access and Deployment: Developers do not need to train models from scratch and can quickly access and use them through APIs, significantly saving time and cost.
  • Customization Support: Supports users in fine-tuning and optimizing models according to their own needs to better adapt to specific application scenarios.
  • Flexibility and Compatibility: Supports multiple programming languages and development frameworks, making it easy for developers to quickly integrate into existing systems.
  • High Performance and Stability: Leveraging powerful GPU computing support, it ensures high performance and stability of model operation, meeting large-scale application scenarios.