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OpenAI-compatible

Connect OpenAI-compatible models and deployments to Orq.ai while keeping familiar request formats, clients, and application interfaces.

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HQ

Not applicable as OpenAI-compatible describes an API format rather than a single provider.

Role

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HQ

Not applicable as OpenAI-compatible describes an API format rather than a single provider.

Direct API routes

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Capabilities

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Partner routes

Access OpenAI-compatible through Orq.ai’s AI Router

OpenAI-compatible endpoints follow common OpenAI API request and response formats while allowing the underlying model to come from different providers or custom deployments.

Orq.ai provides a shared routing layer for supported OpenAI-compatible endpoints, making it easier to use different models and providers without maintaining separate integration logic throughout your application.

OpenAI-compatible models available on Orq.ai

Compare the OpenAI-compatible models and endpoints currently available through Orq.ai, including their supported capabilities, context windows, pricing, and regional availability.

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Model
Input types
Region
ZDR
Input price
Output price
Intelligence
Context (tokens)
Release date
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EU and ZDR reflect all listed model routes, including partners.

Model
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EU and ZDR reflect all listed model routes, including partners.

Model
Select up to 3 models using the checkboxes to compare
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EU and ZDR reflect all listed model routes, including partners.

Why use OpenAI-compatible through Orq.ai?

Chat

Route supported OpenAI-compatible workloads through Orq.ai while applying tracing, evaluations, budgets, governance, and routing controls from a shared layer.

Code

Route coding requests across supported providers while comparing cost, latency, and quality without maintaining a separate application integration for each backend.

Multimodal

Incorporate supported multimodal workloads into the same wider Orq.ai model stack where the endpoint and integration support them.

Pricing

Pricing depends on the upstream provider, model, modality, usage, and billing configuration. Charges may cover tokens, requests, media, or compute; caching and batch options may affect cost. Check Orq.ai and the relevant upstream provider for current rates.

Works with

Applications already using OpenAI-compatible clients can connect to supported Orq.ai routes with minimal integration changes. Exact compatibility depends on the endpoint, model capabilities, and provider configuration.

FAQs

Do I need separate accounts for each OpenAI‑compatible provider to use them through Orq.ai?

It depends on how each provider is configured. You can connect supported provider credentials to Orq.ai or use other available access options where offered by your workspace and plan.

Can I route only some workflows to OpenAI‑compatible providers and others to native APIs?

Yes. Orq.ai lets different workloads use different provider integrations, so you can combine OpenAI-compatible endpoints with native integrations according to model capabilities, regional requirements, cost, or other workload needs.

Does using OpenAI‑compatible through Orq.ai add latency?

Orq.ai adds a routing layer between your application and the upstream provider. Teams can monitor end-to-end latency and use routing, caching, and provider controls where appropriate to manage performance.

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