Scaleway
on Orq.ai
Access models hosted through Scaleway using Orq.ai for reasoning, coding, multimodal, embedding, and other AI workloads through one API.
Capabilities:
Chat
Reasoning
Vision
Code
Speech
Embeddings
Models Supported:
glm-5.2
gemma-4-26b-a4b-it
qwen3.6-35b-a3b
devstral-2-123b-instruct-2512
gpt-oss-120b
holo2-30b-a3b
llama-3.3-70b-instruct
mistral-small-3.2-24b-instruct-2506
pixtral-12b-2409
qwen3-235b-a22b-instruct-2507
...
Provider HQ:
Paris, France
Access Scaleway through Orq.ai’s AI Router
Scaleway is a European cloud provider offering managed generative AI APIs alongside dedicated inference infrastructure. Its AI services support language, coding, vision, audio, embedding, and other workloads, with deployment options suited to teams that need greater control over infrastructure and regional hosting.
Scaleway models available on Orq.ai
Compare the Scaleway-hosted models currently available through Orq.ai, including their supported capabilities, context windows, pricing, and regional availability.
Model
Type
Context
Input / 1M
Output / 1M
glm-5.2
chat
Reasoning
256K
$1.80
$5.50
gemma-4-26b-a4b-it
chat
Reasoning
Vision
256K
$0.25
$0.50
qwen3.6-35b-a3b
chat
Reasoning
Vision
256K
$0.25
$1.50
Why use Scaleway through Orq.ai?
Using Scaleway through Orq.ai lets teams combine European-hosted inference 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 & reasoning | Models hosted through Scaleway | Use supported Scaleway models directly for chat, reasoning, generation, and retrieval-augmented workloads. | Route Scaleway-hosted models through Orq.ai while applying routing, tracing, evals, budgets, and governance controls around each request. |
Code | Models hosted through Scaleway | Use supported models for code generation, debugging, refactoring, and other coding workflows. | Route coding workloads through Orq.ai, compare Scaleway with other providers, and monitor cost, latency, and quality from a shared control layer. |
Vision / audio / embeddings | Supported Scaleway models | Use supported models directly for multimodal, audio, embedding, and other specialized workloads. | Combine these workloads with other models and providers while keeping observability, evaluation, and governance in the same platform. |
Pricing
Scaleway pricing varies by model, workload type, region, deployment option, infrastructure configuration, and billing setup.
Managed API usage may use model-specific consumption pricing, while dedicated inference deployments can use infrastructure-based billing. You can connect supported Scaleway credentials to Orq.ai or use other available access options depending on your workspace configuration.
Check Orq.ai and your Scaleway setup for current model and infrastructure rates, quotas, and billing details.
Compatible frameworks and tools
Orq.ai works with OpenAI-compatible clients and common AI development frameworks. Supported Scaleway models can be incorporated into Orq.ai workflows depending on the model, endpoint, and integration configuration.
Check the Orq.ai integration documentation for the latest setup options and compatibility information for Scaleway.
FAQs
Do I need a separate Scaleway account to use Scaleway through Orq.ai?
You can connect supported Scaleway credentials to Orq.ai or use other available access options depending on your workspace, plan, and region.
Can I route only some workflows to Scaleway and others to different providers?
Yes. Orq.ai lets you route different workloads to different providers, so you can use Scaleway where regional hosting, deployment flexibility, model availability, or infrastructure requirements fit the workload while routing other requests elsewhere.
Does using Scaleway 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.
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