Microsoft Azure
on Orq.ai
Access Azure-hosted AI models through Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.
Capabilities:
Chat
Reasoning
Vision
Code
Models Supported:
gpt-5.6-luna
gpt-5.6-luna
gpt-5.6-sol
gpt-5.6-sol
gpt-5.6-terra
gpt-5.6-terra
gpt-5.4
gpt-5-chat
gpt-5-mini
gpt-5-nano
...
Provider HQ:
Redmond, Washington
Access Azure through Orq.ai’s AI Router
Microsoft Azure provides managed access to AI models with enterprise controls for deployment, security, governance, and regional availability. Teams can use Azure-hosted models for reasoning, coding, multimodal applications, and general-purpose AI workloads.
Orq.ai supports Azure-hosted models based on provider access, region, deployment configuration, and your workspace setup.
Azure models available on Orq.ai
Compare the Azure-hosted models currently available through Orq.ai, including their supported capabilities, context windows, pricing, and regional availability.
Model
Type
Context
Input / 1M
Output / 1M
gpt-5.6-luna
chat
Reasoning
Vision
1.1M
$1.00
$6.00
gpt-5.6-luna
chat
Reasoning
Vision
1.1M
$1.00
$6.00
gpt-5.6-sol
chat
Reasoning
Vision
1.1M
$5.00
$30.00
Why use Azure through Orq.ai?
Using Azure through Orq.ai lets teams combine Azure-hosted models 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 | Models deployed through Azure | Call supported models directly through Azure for chat, reasoning, coding, and multimodal workloads. | Use Azure-hosted models through Orq.ai’s OpenAI-compatible endpoint while applying routing, tracing, evals, budgets, and governance controls around each request. |
Code | Models deployed through Azure | Use supported models for code generation, debugging, refactoring, and agentic coding workflows. | Route coding workloads through Orq.ai, compare Azure-hosted models with other providers, and monitor cost, latency, and quality from a shared control layer. |
Embeddings | Supported embedding models | Use supported embedding models through Azure where available. | Route embedding workloads alongside reasoning, generation, and agent workflows through the same Orq.ai platform. |
Pricing
Azure model pricing varies by model, region, deployment configuration, and billing setup.
You can connect supported Azure credentials and deployments to Orq.ai or use other available access options depending on your workspace configuration. Check Orq.ai and your Azure setup for current per-model rates, quotas, and billing details.
Compatible frameworks and tools
Orq.ai works with OpenAI-compatible clients and common AI development frameworks. Tools that support compatible APIs or supported integration standards can also connect through Orq.ai where available.
Check the Orq.ai integration documentation for the latest setup options and compatibility information for Azure.
FAQs
Do I need a separate Azure account to use Azure OpenAI through Orq.ai?
You can connect supported Azure credentials and deployments to Orq.ai or use other available access options depending on your workspace, plan, and region.
Can I route only some workflows to Azure and others to different providers?
Yes. Orq.ai lets you route different workloads to different providers, so you can use Azure where its deployment options, regional availability, governance requirements, or model access fit the workload while routing other requests elsewhere.
Does using Azure 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
Microsoft Azure
Anthropic
Access Anthropic’s Claude models through Orq.ai for reasoning, coding, vision, and agentic workflows through one API.
Chat
Reasoning
Vision
Models:
claude-opus-5
claude-sonnet-5
claude-fable-5
Open AI
Access OpenAI models through Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.
Chat
Reasoning
Vision
Code
Models:
gpt-5.5 (EU)
gpt-5.6-luna (EU)
gpt-5.6-sol (EU)
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
