Mistral
on Orq.ai
Access Mistral AI models through Orq.ai for reasoning, coding, multimodal, and other AI workloads through one API.
Capabilities:
Chat
Reasoning
Code
Vision
Models Supported:
Mistral Moderation 2603
codestral-2508
codestral-embed-2505
codestral-embed-2505
devstral-2512
ministral-8b-2512
mistral-medium-2505
mistral-medium-2508
mistral-tiny-2407
mistral-tiny-2407
...
Provider HQ:
Paris, France
Access Mistral through Orq.ai’s AI Router
Mistral AI is a European AI provider offering models for reasoning, coding, multimodal applications, and general-purpose AI workloads. Its platform supports managed API access alongside deployment options for teams that need greater control over where and how models run.
Mistral models available on Orq.ai
Compare the Mistral models currently available through Orq.ai, including their supported capabilities, context windows, pricing, and regional availability.
Model
Type
Context
Input / 1M
Output / 1M
Mistral Moderation 2603
moderation
131K
$0.10
$0.00
codestral-2508
chat
256K
$0.30
$0.90
codestral-embed-2505
embedding
8.2K
$0.15
$0.00
Why use Mistral through Orq.ai?
Using Mistral through Orq.ai lets teams combine its 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 | Mistral AI models | Call supported Mistral models directly for chat, reasoning, generation, and multimodal workloads. | Use Mistral models through Orq.ai’s OpenAI-compatible endpoint while applying routing, tracing, evals, budgets, and governance controls around each request. |
Code | Mistral AI models | Use supported models for code generation, debugging, refactoring, and agentic coding workflows. | Route coding workloads through Orq.ai, compare Mistral with other providers, and monitor cost, latency, and quality from a shared control layer. |
Embeddings / specialized workloads | Supported Mistral models | Use supported models for embeddings and other specialized workloads where available. | Route these workloads alongside reasoning, generation, and agent workflows through the same Orq.ai platform. |
Pricing
Mistral pricing varies by model, capability, deployment option, usage volume, and billing configuration.
You can connect supported Mistral credentials to Orq.ai or use other available access options depending on your workspace configuration. Check Orq.ai and your Mistral 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. Supported Mistral 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 Mistral AI.
FAQs
Do I need a separate Mistral account to use Mistral through Orq.ai?
You can connect supported Mistral credentials to Orq.ai or use other available access options depending on your workspace, plan, and region.
Can I route only some workflows to Mistral and others to different providers?
Yes. Orq.ai lets you route different workloads to different providers, so you can use Mistral where its deployment options, regional requirements, model capabilities, or cost profile fit the workload while routing other requests elsewhere.
Does using Mistral 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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