Velokey

Velokey is an API gateway that aggregates over 120 AI models from more than 20 providers into a single, OpenAI-compatible interface. Instead of managing separate API keys, authentication flows, and SDKs for GPT, Claude, Gemini, Sora, Kling, and dozens of other models, you get one endpoint that routes to all of them. The goal is to eliminate the operational overhead of working with multiple AI vendors while keeping full access to the best models in each category. For teams building products that span multiple AI modalities, this consolidation can save significant engineering time and reduce the surface area for integration bugs.

The problem Velokey solves is the sprawl that comes with multimodal AI development. If you're building a product that needs text generation, image creation, video synthesis, and voice output, you're looking at accounts with OpenAI, Anthropic, Google, Stability, Runway, ElevenLabs, and whoever else ships the model you need next month. Each provider has its own authentication mechanism, billing system, rate limits, and SDK quirks. Some use bearer tokens, some use API keys with specific headers, some require OAuth flows. Velokey collapses all of that into a single dashboard where you manage one API key, track usage across all providers, and switch models without rewriting your integration code.

The API follows the OpenAI SDK pattern, so if you already know how to call GPT through the official Python or JavaScript libraries, you know how to call anything through Velokey. Migration from direct provider access requires minimal code changes because the request format stays consistent. You change the endpoint and the model identifier; everything else works the same way. This compatibility extends across their entire model catalog, meaning you can switch from GPT-4 to Claude to Gemini to an open-source model with a single parameter change rather than a full refactor.

Beyond aggregation, Velokey adds a routing layer that handles reliability concerns. It can automatically fail over between providers if one goes down, optimize for latency by selecting the fastest available route, and give you visibility into which paths your requests are taking. For production systems where uptime matters, that resilience layer is more valuable than the convenience of a single API key alone. If OpenAI experiences an outage, your application can automatically fall back to Claude or Gemini without any manual intervention, keeping your users unaffected.

Each model in the catalog has its own page where you can test prompts, adjust parameters, and see pricing before you commit to integrating it. That makes evaluation faster because you don't have to spin up a sandbox with each provider just to try their model. You can compare outputs side by side through the dashboard, run the same prompt through multiple models, and drop the winner into your codebase with a model ID swap. This testing environment is especially useful when new models launch and you want to assess whether they're worth switching to.

Pricing is pay-as-you-go with no monthly minimums or subscription fees. Text models bill by token, image models by generation specs, and video and audio models by their own relevant units. The pricing is transparent and published per model, so you can calculate costs before you run jobs. New accounts receive a small credit at signup, roughly half a dollar, to test the platform without any payment method attached. This lets you verify that the integration works for your use case before committing any spend.

The supported modalities cover the full range of current generative AI. Text models include the GPT series, Claude, Gemini, DeepSeek, and many others. Image generation spans GPT Image, Seedream, Qwen Image, and Nano Banana. Video models include Sora, Kling, Veo, Seedance, and Wan. Audio covers both voice synthesis and music generation. If a major model exists in any of those categories, chances are Velokey already routes to it or will soon. The breadth of coverage means you can build products that use text, image, video, and audio generation without leaving the platform.

Velokey fits SaaS platforms that want to offer multimodal AI features without building provider integrations one by one, developers who value cost transparency and easy model switching, enterprise teams that need centralized credentials and usage tracking, and creative studios or marketing platforms that work across text, image, video, and audio workflows. The unified dashboard makes it straightforward to see what you're spending across all modalities, catch runaway costs before they become a problem, and maintain a single source of truth for AI usage across your organization.