Aurora Alpha

OpenRouter chatreasoning Free

API ID: openrouter/aurora-alpha

Input Price
Free
/1M tokens
Output Price
Free
/1M tokens

About Aurora Alpha

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.

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Price Ranking
#6 lowest price among 1240 Chat models โ€” Top 20% cheapest!

Model Specifications

Context Length
128k
Max Output
โ€”
Release Date
2026-02-09
Capabilities
chat reasoning
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)
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This model is completely free!

No token costs - use it without worrying about API bills.

Estimate Token Usage

OpenRouter Model Lineup

Compare all models from OpenRouter to find the best fit

Model Input Output Context Capabilities
Aurora Alpha Current Free Free 128k chat reasoning
Body Builder (beta) $-1000000.0000 $-1000000.0000 128k chat
Fusion $-1000000.0000 $-1000000.0000 1.0M chat
Pareto Code Router $-1000000.0000 $-1000000.0000 2.0M chat code
Auto Router $-1000000.0000 $-1000000.0000 2.0M audio chat image_gen
Auto Router (Beta) $-1000000.0000 $-1000000.0000 2.0M audio chat image_gen

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๐Ÿš€ Quick Start

Get started with Aurora Alpha API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="openrouter/aurora-alpha",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)