OpenAI
GPT models for coding, reasoning, agents, and multimodal applications.
Available models
ONE API · LEADING AI MODELS
The models you already use. At better prices.
Access leading AI models through one OpenAI-compatible API. Use familiar tools, switch models easily, and reduce AI costs without rebuilding your stack.
Compatible with leading AI models and providers
More models. Less complexity. Lower costs.
Access supported AI models through one OpenAI-compatible API. No separate provider accounts, no multiple integrations, and no volume commitments.
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01
Connect once
Create your Keyvera API key and update the base URL in your existing OpenAI-compatible client.
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02
Choose your model
Access supported models from multiple AI providers through the same API and switch models as your application evolves.
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Build for less
Pay published, usage-based prices with no minimum usage or long-term commitment.
cURL
Python
Node.js
OpenAI
LangChain
Vercel
Claude Code
Hermes Agent
OpenClaw
Choose the right model for every workload.
Access supported models from leading AI providers through one Keyvera API.
Select a model to copy its API ID.
Anthropic
Claude models for advanced reasoning, coding, and long-context workloads.
Available models
DeepSeek
Efficient open-weight models for coding, chat, and high-volume production traffic.
Available models
xAI
Grok models for real-time knowledge, coding, and general-purpose applications.
Available models
Zhipu AI
GLM models for multilingual chat, coding, and production workloads.
Available models
More models available
Explore the complete Keyvera catalog, including additional providers and specialized model families.
One account. Complete control.
Manage your API keys, balance, model access, and usage from a single Keyvera workspace.
One shared balance
Top up once and use the same balance across every supported model and provider.
Usage tracking
Monitor requests, token consumption, and spending across models from one dashboard.
API key management
Create and revoke Keyvera API keys for your applications from one account.
Switch models easily
Change the model ID in your request without creating new provider accounts or credentials.
Flexible billing
Use pay-as-you-go access or choose a subscription that better fits your workload.
Fallback-ready
Configure alternative models to improve resilience when a preferred model is unavailable.
Get your API key. Start saving.
Start with a €20 top-up and use one balance across every supported model. No monthly commitment.
1
Sign up
Create your Keyvera account.
2
Top up
Add €20 or more to your account. No recurring commitment.
3
Generate a key
Create a Keyvera API key, update your base URL, and choose a model ID.
Frequently asked questions
How is Keyvera priced?
Keyvera publishes current prices for each supported model. Choose pay-as-you-go access or a subscription, and compare model rates before adding balance.
Which AI providers are available?
Keyvera supports models from OpenAI, Anthropic, DeepSeek, xAI, and Zhipu AI. See the Models and Pricing pages for the current catalog and availability.
Do I need special SDKs or integration code?
No special SDK is required. Keyvera provides an OpenAI-compatible endpoint and a Keyvera API key. In a supported client, change the base URL and API key; Anthropic-format compatibility is available where documented.
Is there a minimum volume or commitment?
There is no minimum usage commitment. The minimum account top-up is €20, with no monthly or long-term commitment.
How do I get started?
Create an account, add balance, generate a Keyvera API key, and update the base URL in your existing OpenAI-compatible client.
Does Keyvera see my prompts or responses?
Requests pass through Keyvera infrastructure to reach the selected model provider. Data handling, logging, and retention are governed by Keyvera's Privacy Policy and the applicable upstream provider terms. Review those policies before sending sensitive data.
Is this suitable for production workloads?
Production suitability depends on your required models, rate limits, availability, fallback strategy, and data-handling requirements. Review the documentation and service terms before deploying critical workloads.