Anthropic
on Orq.ai
Use Claude Opus 4.7, Sonnet 4.6, Haiku 4.5, and other supported Claude models through one API.
Capabilities:
Chat
Code
Reasoning
Vision
Models Supported:
claude-opus-5
claude-sonnet-5
claude-fable-5
claude-opus-4-8
claude-opus-4-7
Provider HQ:
500 Howard Street in San Francisco, California
Anthropic models available on Orq.ai
Model | Type | Context / scope | Best for | Pricing tier |
|---|---|---|---|---|
Claude Opus 4.7 | Chat / reasoning / vision | Up to 1M tokens (see Orq/Anthropic docs for current limits) | Complex reasoning, coding, agentic workflows, and high-stakes tasks that need Anthropic’s strongest model family | Premium - standard API pricing: $5 / 1M input tokens, $25 / 1M output tokens |
Claude Sonnet 4.6 | Chat / reasoning / vision | Up to 200K tokens (verify in Orq/Anthropic docs for current limits) | Everyday production workloads, RAG, coding, product features, and workflows that need strong quality with better cost/latency than Opus | Mid-tier - standard API pricing: $3 / 1M input tokens, $15 / 1M output tokens |
Claude Haiku 4.5 | Chat / fast / vision | Up to 200K tokens (verify in Orq/Anthropic docs for current limits) | Fast, lower-cost tasks such as classification, extraction, lightweight chat, routing, and high-volume support workflows | Cost-efficient - standard API pricing: $1 / 1M input tokens, $5 / 1M output tokens |
See pricing for current rates.
Why use Anthropic through Orq.ai
Capability | Provider | Direct | Through Orq.ai |
|---|---|---|---|
Chat | Anthropic Claude models (Opus, Sonnet, Haiku) | Call Claude directly through Anthropic’s API for chat, reasoning, vision, and agent workflows. | Use Claude through Orq.ai’s OpenAI-compatible endpoint, with routing, tracing, evals, budgets, and governance controls around the request. |
Code | Anthropic Claude models (especially Opus / Sonnet) | Use Claude directly for code generation, debugging, refactoring, and agentic coding workflows. | Route coding workloads through Orq.ai, compare Claude against other models, and monitor cost, latency, and quality from one control layer. |
Embeddings | Supported embedding providers through Orq.ai | Anthropic’s Claude models are primarily used for chat, reasoning, coding, and multimodal tasks rather than embedding generation. | Use Orq.ai to route embedding workloads to supported embedding providers while keeping Claude available for reasoning, generation, and agent steps. |
This gives teams a practical way to use Claude where it performs best while keeping routing, observability, evals, and cost controls centralized across the wider model stack.
Pricing
Model rates | Centralized cost tracking | Budgets and limits |
|---|---|---|
Claude model pricing may vary depending on whether you use BYOK or Orq.ai-supported billing. Check the Orq.ai pricing page for current per-model rates, quotas, and plan details. | Claude usage can be tracked per project, team, and route inside Orq.ai so you can see which workflows are driving Anthropic spend and adjust routing or budgets accordingly. | You can set per‑team or per‑workflow budgets and rate limits around Anthropic usage in Orq.ai to prevent surprise bills and enforce governance rules. |
Compatible frameworks and tools
Orq.ai works with OpenAI-compatible clients and common AI development frameworks. Compatible assistants and coding tools that support MCP or OpenAI-compatible APIs can also connect to Orq.ai, depending on the integration path and model configuration. Check the Orq.ai integration docs for the latest supported frameworks and tools.
FAQs
Do I need a separate Anthropic account to use Claude through Orq.ai?
You can either connect your own Anthropic API keys into Orq.ai or, where available, use models provided via Orq.ai’s own billing; the exact options depend on your plan and region. In both cases, Orq.ai gives you one place to manage routing, observability, and cost controls around that Claude usage.
Can I route only some workflows to Anthropic and others to different providers?
Yes. You define routes per workflow in Orq.ai and decide which ones should use Claude vs other models, so you can reserve Anthropic for high‑value or reasoning‑heavy paths while sending simpler work elsewhere.
Does using Anthropic through Orq.ai add latency?
Orq.ai is designed as a lightweight router layer, so the added overhead is small compared to the model’s own latency, and you can use routing policies and caching to keep end‑to‑end performance within your targets.
Alternatives to
Anthropic
Open AI
Use OpenAI's foundation models through a single Orq.ai API. Route models such as GPT-4.1, GPT-4.1-mini, o3-mini, and GPT-4o-class models via Orq's AI Router for chat, reasoning, coding, and multimodal workloads.
Chat
Code
Image Generation
Reasoning
Speech
Vision
Models:
gpt-5.5 (EU)
gpt-5.6-luna (EU)
gpt-5.6-sol (EU)
Google AI
Use Google’s Gemini models through a single Orq.ai API. Route models such as Gemini 3.1 Pro, Gemini 2.5 Flash, and Gemini 2.0 Flash‑Lite via Orq’s AI Router for chat, reasoning, coding, and multimodal workloads.
Chat
Code
Embeddings
Image Generation
Reasoning
Speech
Vision
Models:
gemini-3.5-flash-lite (Gemini API)
gemini-3.6-flash (Gemini API)
Gemini 3 Pro Image
AWS
Use AWS Bedrock’s foundation models through a single Orq.ai API. Route models such as Amazon Nova, Amazon Titan Text, and compatible third‑party models exposed via Bedrock through Orq’s AI Router for chat, reasoning, coding, and multimodal workloads.
Chat
Code
Embeddings
Reasoning
Vision
Models:
eu.anthropic.claude-opus-5
global.anthropic.claude-opus-5
us.anthropic.claude-opus-5
Z.ai
Use Z.ai’s GLM‑5 family through a single Orq.ai integration. Route models such as GLM‑5.2, GLM‑5.1, GLM‑5, GLM‑5‑Turbo, GLM‑4.7, and GLM‑4.7‑FlashX via Orq’s AI Router for chat, reasoning, coding, multilingual tasks, vision, and cost‑efficient high‑volume workloads.
Chat
Image Generation
Reasoning
Vision
Models:
glm-5.2
glm-5.1
glm-5v-turbo
