Discover Polaris Alpha by OpenRouter

Polaris Alpha excels in coding, tool calling, and instruction following.

Input: text · image Output: text Context: 256,000 tokens Release: 2025-11-06
Polaris Alpha, developed by OpenRouter, is a powerful general-purpose AI model released on November 6, 2025. With an impressive context length of 256,000 tokens, it supports both text and image inputs while providing text outputs. This model excels in real-world tasks, particularly in coding, tool calling, and following instructions. As a community-focused model, feedback is actively gathered to enhance its performance. Whether you're looking to automate coding tasks or improve instruction comprehension, Polaris Alpha is designed to assist effectively.

Use Cases

Here are a few ways teams apply Polaris Alpha in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Automate coding processes

Enhance instruction following

Utilize tools effectively

Process and interpret images

Gather insights from extensive text

Key Features

A quick look at the capabilities that make this model useful in real projects.

Supports text and image inputs

256,000 token context length

Strong performance in coding tasks

Effective tool calling capabilities

Community-driven feedback for improvements

Specs

Overview
Vendor
openrouter
Model ID
openrouter/polaris-alpha
Release
2025-11-06
Modalities & context
Input
text · image
Output
text
Context
256,000 tokens
Parameters & defaults

Supported parameters: max_tokens, response_format, structured_outputs, tool_choice, tools

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: Polaris Alpha

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
The Polaris Alpha is a versatile robotic platform designed for a variety of applications, including industrial automation, research, and logistics. Equipped with advanced sensors and a modular design, it can navigate complex environments and perform tasks such as material handling and data collection. Its onboard processing capabilities allow for real-time decision-making and adaptability to changing conditions. Typical use cases include warehouse automation, where it can efficiently transport goods, and research settings, where it can assist in data gathering and analysis. The Polaris Alpha supports integration with various software systems, enhancing its functionality in diverse operational contexts. Notable constraints include a maximum load capacity of 150 kg and a limited operational range of 500 meters from its base station, which may affect its deployment in larger facilities. Additionally, users may need to consider environmental factors, as performance can be influenced by obstacles and varying surface conditions.
Run this prompt on Upend.AI

Image

Prompt:
Generate an SVG of a pelican riding a bicycle.
Benchmark image
Run this prompt on Upend.AI

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up.end
/ˌəpˈend/
verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.