Aurora Alpha

openrouter/aurora-alpha

Created Feb 9, 2026128,000 context

$0/M input tokens$0/M output tokens

This is a cloaked model provided to the community to gather feedback. A reasoning model designed for speed. It is built for coding assistants, real-time conversational applications, and agentic workflows.

Default reasoning effort is set to medium for fast responses. For agentic coding use cases, we recommend changing effort to high.

Note: All prompts and completions for this model are logged by the provider and may be used to improve the model.

Providers for Aurora Alpha

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Aurora Alpha

Compare different providers across OpenRouter

Apps using Aurora Alpha

Top public apps this month

Recent activity on Aurora Alpha

Total usage per day on OpenRouter

Prompt

1.54B

Completion

59.9M

Reasoning

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Aurora Alpha

Uptime stats for Aurora Alpha across all providers

Sample code and API for Aurora Alpha

OpenRouter normalizes requests and responses across providers for you.

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.