One API for 100+ AI models.

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July 20, 2026

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Velokey

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One API for 100+ AI models.

API Open Source AI Gateway Unified API Multi-model Support API IntegrationFree + from $10

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Velokey is a unified AI API Gateway platform that provides access to a variety of AI models such as GPT, Claude, Gemini, Flux, Kling and many more through a single API.

With Velokey, users can build applications using text, image, and video models, and switch between models without the need for rebuilding integrations.

This platform allows users to only pay for the tokens they use. Velokey facilitates the process of migrating from an existing OpenAI-compatible SDK by changing the Base URL and API key.

Users can then select a supported model and use the platform's API. Velokey provides a catalogue of available models, each with its own set of capabilities and pricing.

The platform incorporates a smart model routing feature, automatically routing user requests to the fastest, most stable endpoint available. It also includes an automatic failover mechanism for transitioning requests to a healthy fallback route, should the need arise.

Users can monitor request status, token usage, latency, errors, and expenses from a single console. Velokey ensures transparent model pricing, which is based on actual usage.

Additionally, Velokey ensures user data privacy as it does not retain prompt or model output content and does not use customer API data for training.

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July 20, 2026

Initial release of Velokey.

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Pros and Cons

Pros

Model switch without rebuild

Pay Per Token system

Supports Text, Image, Video models

Smart Model Routing

Automatic Failover Mechanism

Single Console Monitoring

Transparent Pricing based on usage

Data Privacy Assured

Endpoint Stability Ensured

Diverse Model Access

Latency and Error Monitoring

Expense Monitoring Feature

SDK Integration Ease

Fastest, stable endpoint selection

Healthy fallback route selection

User-friendly Application Development Tools

GPT, Claude, Gemini, Flux, Kling Models

Auto Routing to Fastest Endpoint

Pay for Actual Usage

Retains no Prompt or Model's outputs

Doesn't use API data for training

Provides Individual Model's Capabilities and Pricing

Fast and Stable Request Routing

Automated Request Transitioning during Failures

Evaluation of Model Capability, Context, Speed

Compare Models before Adoption

Transparent Operative Understanding

Multi Route Automatic Failover

See Token, Image, Video Pricing

Pay Only for Actual Usage

Operational Metadata for Billing Purposes

Security and Troubleshooting with Limited Data

Language, Image, Video Models Access

Fallback Route based on Availability

Change Base URL and API Key

Call Text, Image, Video Models

Velokey Doesn't Store Prompts or Model Outputs

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Cons

Unpredictable fastest endpoint routing

Only supports certain models

Non-transparent failover mechanism

No offline functionality

Single API dependency

Limited model capabilities information

Billing based on tokens

Complex due to multifold models

Does not retain data

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Q&A

What is Velokey?

Velokey is a unified AI API platform. It provides access to various AI models such as GPT, Claude, Gemini, Flux, Kling and many more through a single API. It allows building applications using text, image, and video models, and includes a feature for switching between these models without the need for rebuilding integrations. Users can pay per token and monitor their usage from a single console. It also includes features for smart model routing and automatic failover for improved performance and reliability.

How does Velokey's unified API function?

Velokey functions by allowing users to interact with multiple machine learning models through a single API. It provides an API Gateway, which facilitates the process of sending user requests to the respective AI models. It incorporates smart model routing, which automatically transmits user's requests to the fastest, most stable endpoint available.

What are the AI models supported by Velokey?

Velokey provides access to numerous AI models through its platform. Some of these include GPT, Claude, Gemini, Flux, Kling amongst others. Other than these mentioned models, Velokey supports over 100+ AI models, model variants, and continues to add more to its catalogue.

How do I switch between models in Velokey?

Switching between models in Velokey doesn't demand rebuilding integrations. Users have to modify the parameter that configures the selected model in their API calls. The model variants and their corresponding capabilities are all listed in Velokey's catalogue, allowing users to compare and select the best-suited model for their applications.

How does Velokey's pay per token system work?

In Velokey's platform, users only pay for the tokens they use. Token usage is the unit for pricing with Velokey. Depending on how many tokens get used in processing a request in an AI model, Velokey charges the user. The 'pay per token' system ensures that users only pay for what they actually use.

What are the steps to migrate from an OpenAI-compatible SDK to Velokey?

Migrating to Velokey from an OpenAI-compatible SDK is straightforward. Users are required to update their Base URL and API key to point to Velokey's services. This change is as simple as adjusting a single line in the code. Once the Base URL and API key are updated, users can choose a model from Velokey's catalogue and start using the platform immediately.

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What is Velokey's smart model routing feature?

Velokey's smart model routing feature is designed to optimize performance and reliability. This feature automatically routes a user's requests to the fastest, most stable endpoint available. It continuously checks the potential endpoints to determine the most optimal route. This ensures that requests are executed efficiently, thereby reducing latency.

How does Velokey handle automatic failover?

Velokey includes an automatic failover mechanism. In the event of an error or route unavailability, the failover mechanism shifts requests to a healthy fallback route. This ensures that requests can still be processed despite disruptions, providing a reliable service.

How can I monitor my API usage and expenses with Velokey?

Velokey provides a single console from which users can monitor various metrics concerning their API usage. This includes the status of requests, number of tokens used, latency times, errors encountered, and overall expenses. This level of transparency allows users to manage their usage and expenses efficiently.

What does it mean that Velokey has transparent model pricing?

Velokey's transparent model pricing refers to its transparent billing system that is based solely on actual usage. The per-token price of each AI model is clearly listed, allowing users to understand the cost implications before making a call. No hidden charges are involved. They show the cost associated with each model and payment is strictly tied to token usage.

How can I be sure that Velokey respects my data privacy?

Velokey respects user data privacy by taking specific steps. It doesn't retain any prompt or model output content nor uses user's API data for training. While operational metadata is retained for billing, troubleshooting, and support purposes, the content of data processed through Velokey's platform is not stored, providing stringent user data privacy protection.

How stable are the endpoints Velokey routes to?

Velokey ensures the stability of its endpoints using a smart model routing feature. This feature automatically forwards user requests to the fastest and most stable endpoint available. Consequently, it provides high endpoint stability which is crucial for maintaining efficient and uninterrupted service operations.

What benefits does Velokey offer for AI tool developers?

Velokey aids AI tool developers by providing a unified platform where they can access and switch between multiple AI models without rebuilding their integrations. The platform's smart routing and failover capabilities also contribute to developing more reliable, efficient AI tools. Additionally, its usage-based pricing and user-friendly console for monitoring API usage offer further advantages.

How specifically does Velokey aid in application development?

Velokey aids in application development by providing easy access and management of multiple AI models through a single API. It allows developers to integrate AI capabilities into their applications with less effort and change between AI models as needed. It also provides useful features such as smart model routing and automatic failover, which can contribute to improved application performance.

What are the capabilities of GPT, Claude, Gemini, Flux, Kling models in Velokey?

Each of the AI models (GPT, Claude, Gemini, Flux, Kling) in Velokey come with their unique set of capabilities targeted towards various tasks. GPT is renowned for various natural language processing tasks. The Claude, Gemini, Flux, and Kling models have their own unique capabilities, providing a range of options for different application requirements. Unfortunately, the detailed functionalities for each model, including Claude, Gemini, Flux, and Kling, are not specified.

How is Velokey ideal for switching between the AI models for different applications?

Velokey is ideal for switching between the AI models for different applications because it provides access to a variety of AI models via one API platform. Therefore, users can switch from one model to another seamlessly and without needing to rebuild their integrations, making it convenient to run different models for different applications.

How easy is it to integrate my application with Velokey’s platform?

Integrating an application with Velokey's platform is easy and convenient. Velokey uses an OpenAI-compatible client, which makes it effortless to integrate an existing application. Developers only need to update their existing Base URL and API key, then select the model they want to use, allowing up-and-running integration in minutes.

How does Velokey ensure the fastest response for my application?

Velokey ensures the fastest response for your application by using its smart model routing feature. This feature automatically routes user requests to the fastest, most stable endpoint available thereby reducing latency times and ensuring swift responses.

What happens in case an AI model I am using in Velokey runs into an error?

In case an AI model runs into an error during application use, Velokey's automatic failover mechanism comes into play. The failover system automatically routes the request to a healthy fallback route, ensuring continuous and reliable service.

Is there any limit to the number of tokens I can use in Velokey?

There's no mention of a specific limit to the number of tokens that a user can use in Velokey. The usage primarily depends on the task complexity, model choice, and user's budget. However, each model consumes a different number of tokens, and the user is billed based on actual token usage.

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