AI Mission Control AI Mission Control

Models

Choose from the supported catalogue.

The live catalogue remains the authority for supported model IDs, modalities, locations and public availability. If the catalogue is temporarily unavailable, contact our team to discuss your requirements.

Model families at a glance

Unified access to every leading model family across multiple providers.

US EU Europe (EU+) China Asia (non-China) Global / other
Family Modalities Max context Suppliers Geo-filter
Chat & Completion
Alibaba · Anthropic · CloudSigma +9
Chat & Completion 2M 12
Vision & Multimodal
Alibaba · CloudSigma · Mistral AI
Vision & Multimodal 1.0M 3
OCR & Documents
CloudSigma · Mistral AI
OCR & Documents 33K 2
Document Conversion
CloudSigma
Document Conversion - 1
Image Generation
OpenAI
Image Generation - 1
Embedding
CloudSigma
Embedding - 1
Reranking
CloudSigma
Reranking - 1
Text-to-Speech
CloudSigma
Text-to-Speech - 1
Transcription
OpenAI
Transcription - 1
Realtime Transcription
OpenAI
Realtime Audio 33K 1
Speaker Recognition
CloudSigma
Speaker Recognition - 1
Audio Understanding
CloudSigma
Audio Understanding - 1
Tools
DeepSeek
Tools - 1

Current scheduled prices

The first Premium / Frontier and Open Source models in the live Chat & Completion catalogue. Scheduled rates are evaluated now in each schedule's timezone; models without a schedule show their standard catalogue rate.

Premium / Frontier

GPT 6 Astra

gpt-6-astra

Standard catalogue rate

$10.00 input / $50.00 output / MTok

No public time-based schedule is currently available for this model.

View pricing details

Open Source

Kimi K3.1 Pro

kimi-k3.1-pro

Standard catalogue rate

$2.00 input / $10.00 output / MTok

No public time-based schedule is currently available for this model.

View pricing details

Built for reliability and compliance

Apply supported access and routing controls to model requests.

Managed reliability

Access supported OpenAI and Anthropic models through one CloudSigma service. Applications should handle terminal errors and follow the endpoint's retry guidance.

Geo-routing & EU-only

Use an EU-only key policy for supported models. Review inference, logging and storage boundaries for your workload.

Supplier filtering

Choose the model publishers available to each API key and apply supported access policies for your workload.

Multi-modal in one API

Use supported chat, vision, image, embedding, speech, transcription and reranking capabilities through their documented endpoints. Compatibility and billing units vary.

OpenAI- and Anthropic-compatible

Use documented OpenAI-compatible chat, Anthropic-compatible Messages and native specialist interfaces. Check the supported endpoint and model matrix when migrating.

Usage & cost visibility

Review model and key usage and cost breakdowns. Set spending controls and discuss hard-budget enforcement scope during enterprise evaluation.

Data Residency

Choose a supported EU routing policy

Configure an EU-only key policy and choose an eligible model. Routing uses the active provider geography catalogue and rejects requests where no permitted route is available.

Review permitted inference locations alongside logging and storage policies. Model availability is not a blanket compliance or end-to-end residency guarantee.

Explore access controls
# EU-only chat request
curl https://taas.cloudsigma.com/v1/chat/completions \
  -H "Authorization: Bearer $TAAS_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "auto",
    "region": "EU",
    "messages": [
      {"role": "user", "content": "Summarise this contract."}
    ]
  }'

# Inspect documented response metadata and request logs.
Resilience

One service for reliable model access

Use the same CloudSigma credentials and model identifiers across supported endpoints. Handle errors according to the endpoint documentation, including whether output has already started.

Your configured model access and supported regional restrictions continue to apply to each request.

Read the developer guide
# Python — documented OpenAI-compatible chat
from openai import OpenAI

client = OpenAI(
    api_key="your-taas-key",
    base_url="https://taas.cloudsigma.com/v1"
)

# Handle errors according to the endpoint documentation
response = client.chat.completions.create(
    model="auto",
    messages=[{"role": "user",
               "content": "Draft a privacy notice."}]
)
print(response.choices[0].message.content)
Get started today

Start with a supported model and a clear policy

Explore the public catalogue, review endpoint compatibility and establish access, spending and location requirements.