Open AI
on Orq.ai
Access OpenAI models through Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.
Capabilities:
Chat
Reasoning
Vision
Code
Models Supported:
gpt-5.5 (EU)
gpt-5.6-luna (EU)
gpt-5.6-sol (EU)
gpt-5.6-terra (EU)
chatgpt-image-latest (EU)
gpt-3.5-turbo (EU)
gpt-3.5-turbo-0125 (EU)
gpt-4-turbo (EU)
gpt-4-turbo-2024-04-09 (EU)
gpt-4.1 (EU)
...
Provider HQ:
San Francisco, California
Access OpenAI through Orq.ai’s AI Router
OpenAI provides models and APIs for reasoning, coding, multimodal applications, and general-purpose AI workloads. Its platform also supports capabilities such as image, audio, and tool-based workflows alongside text generation.
OpenAI models available on Orq.ai
Compare the OpenAI models currently available through Orq.ai, including their supported capabilities, context windows, pricing, and regional availability.
Model
Type
Context
Input / 1M
Output / 1M
gpt-5.5 (EU)
chat
Reasoning
Vision
1.1M
$5.50
$33.00
gpt-5.6-luna (EU)
chat
Reasoning
Vision
1.1M
$1.10
$6.60
gpt-5.6-sol (EU)
chat
Reasoning
Vision
1.1M
$5.50
$33.00
Why use OpenAI through Orq.ai?
Using OpenAI through Orq.ai lets teams combine its models and capabilities with a wider model stack without maintaining separate routing, evaluation, observability, and cost-control logic for each provider.
Capability | Provider | Direct | Through Orq.ai |
|---|---|---|---|
Chat | OpenAI models | Call supported OpenAI models directly for chat, reasoning, coding, and other language-model workloads. | Use OpenAI models through Orq.ai’s AI Router while applying routing, tracing, evals, budgets, and governance controls around each request. |
Code | OpenAI models | Use supported models for code generation, debugging, refactoring, and agentic coding workflows. | Route coding workloads through Orq.ai, compare OpenAI with other providers, and monitor cost, latency, and quality from a shared control layer. |
Multimodal | OpenAI multimodal models and APIs | Use supported OpenAI capabilities for image, audio, vision, and other multimodal workloads. | Combine OpenAI multimodal capabilities with other models and providers while keeping observability, evaluation, and cost controls in the same platform. |
Pricing
OpenAI pricing varies by model, modality, usage type, context, and billing configuration.
Some capabilities may use token-based pricing, while others can include request-based, media-based, or other usage charges. Features such as cached input, batch processing, fine-tuning, search, image generation, audio, and other tools may also have separate pricing structures.
You can connect supported OpenAI credentials to Orq.ai or use other available access options depending on your workspace configuration. Check Orq.ai and your OpenAI setup for current rates, quotas, and billing details.
Compatible frameworks and tools
Orq.ai works with OpenAI-compatible clients and common AI development frameworks. Existing applications using compatible interfaces can route supported OpenAI workloads through Orq.ai depending on the model and integration configuration.
Check the Orq.ai integration documentation for the latest setup options and compatibility information for OpenAI.
FAQs
Do I need a separate OpenAI account to use OpenAI through Orq.ai?
You can connect supported OpenAI credentials to Orq.ai or use other available access options depending on your workspace, plan, and region.
Can I route only some workflows to OpenAI and others to different providers?
Yes. Orq.ai lets you route different workloads to different providers, so you can use OpenAI where its reasoning, coding, multimodal, or other capabilities fit the workload while routing other requests elsewhere.
Does using OpenAI through Orq.ai add latency?
Orq.ai adds a routing layer between your application and the model provider. Teams can monitor end-to-end latency and use routing, caching, and provider controls where appropriate to manage performance.
Alternatives to
Open AI
Anthropic
Access Anthropic’s Claude models through Orq.ai for reasoning, coding, vision, and agentic workflows through one API.
Chat
Reasoning
Vision
Models:
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claude-sonnet-5
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Google AI
Access Google’s AI models through Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.
Chat
Reasoning
Vision
Code
Models:
gemini-3.5-flash-lite (Gemini API)
gemini-3.6-flash (Gemini API)
Gemini 3 Pro Image
AWS
Access foundation models available through Amazon Bedrock using Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.
Chat
Reasoning
Vision
Code
Models:
eu.anthropic.claude-opus-5
global.anthropic.claude-opus-5
us.anthropic.claude-opus-5
Z.ai
Access Z.ai’s GLM models through Orq.ai for reasoning, coding, multilingual, multimodal, and other AI workloads through one API.
Chat
Reasoning
Code
Vision
Models:
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glm-5.1
glm-5v-turbo
