Open-weight models through an OpenAI-compatible API.
Serverless, so there’s nothing to provision or scale: every model sits behind one endpoint and one key. Pick the model per call and pay per token at published rates. Prompts are never stored.
Featured models
Billed per token, per model. See rates →
DeepSeek
DeepSeek V4.1 Flash
deepseek/deepseek-v4.1-flash
- Context
- 1M tokens
- Input
- Text, images
DeepSeek
DeepSeek V4 Pro
deepseek/deepseek-v4-pro
- Context
- 1M tokens
- Input
- Text
Z.ai
GLM 5.2
z-ai/glm-5.2
- Context
- 256K tokens
- Input
- Text
Moonshot AI
Kimi K3
moonshotai/kimi-k3
- Context
- 1M tokens
- Input
- Text, images
Already using the OpenAI SDK?
Change the base URL and the key, and the rest of your code stays as it is. To switch models, change the model name.
import osfrom openai import OpenAIclient = OpenAI( base_url="https://ai.aur.lu/v1", api_key=os.environ["AURORA_API_TOKEN"],)reply = client.chat.completions.create( model="deepseek/deepseek-v4.1-flash", messages=[{"role": "user", "content": "Summarize this contract."}],)print(reply.choices[0].message.content)Dedicated models
When traffic is steady or the data can’t share hardware, run your model on GPUs reserved for you. Aurora deploys and operates the model you choose, open-weight or your own fine-tune, on single-tenant NVIDIA systems, with capacity and availability written into your agreement.
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