Hosted in Australia
Sovereign inference.
Run any model. One API.
DeepSeek and GLM through one OpenAI-compatible API, hosted in Australia. Sign up, get a key and send your first request in minutes. Pay per token.
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client = OpenAI(
base_url=XINFERENCE_BASE_URL,
api_key="XINFERENCE_API_KEY",
)
# two lines. that's the migration.Trusted in production by
Model API pricing
Pay per token.
Same per-token price as the model vendor, hosted in Australia. Create an account, get your key and pay only for the tokens you use.
Hosted in Australia.
| Model | What it’s for | Input | Output |
|---|---|---|---|
 DeepSeek V4.1 Flash | Long-context work and RAG | $0.30 | $1.20 |
 GLM-5.3 | Agents, reasoning and coding | $1.40 | $4.40 |
 Kimi K3 | Frontier reasoning and agentic workloads | Coming soon | |
| DeepSeek V4.1 Flash costs up to 53% less than DeepSeek on Amazon Bedrock in Sydney. It costs up to 88% less per token than Claude Sonnet 5.5. List prices as of October 2026. | |||
| Price per 1M tokens. Don’t see the model you need? Talk to us about adding it. | |||
Why teams switch
Most teams start on the Model API and move to dedicated compute as usage grows.
See customer results→No lock-in
Open models behind one OpenAI-compatible API. Swap models, hardware or clouds without rebuilding your applications.
Cost certainty
Published prices per token. Pay for what you use, and move to a set cost per GPU hour as you grow.
Hosted in Australia
Runs in Australian data centres. No training on your data.
Start in minutes
Sign up, create a key and change two lines of code. No sales call needed.
In production.
Quick-service restaurantsOne platform behind 50+ AI use cases.
Yum! runs 50+ AI use cases across KFC, Pizza Hut and Taco Bell, at 1.52M requests a day across dual data centres.
Financial services6,000-user AI on one pooled cluster.
360,000 requests per day on 72 pooled GPUs, serving 6,000 users.
InsuranceA regulated AI platform on one serving stack.
500K+ daily requests, replacing a self-managed vLLM and Kubernetes stack.
What you can build on Xinference.
Most production workloads already run on open models, with the same or similar results as closed-source APIs.
Search and RAG
Answer questions over your own documents.
Conversational AI
Customer assistants and internal helpdesks.
Agents and function calling
Multi-step reasoning and tool use, on frontier open models such as DeepSeek V4.1 Flash and GLM-5.3. You can also build them with TobyBot, which runs bots on your own models.
Coding assistance
IDE copilots and code generation, on long-context models served with streaming.
Summarisation and extraction
Document parsing, summarisation and classification, including high-volume batch pipelines.
Long-context work
Contracts, reports and codebases in a single request.