OpenRouter Anonymous model Space Bunny Alpha launches, offering million-Token context free of charge
BIBIBI
AT A GLANCE
The anonymous large model Space Bunny Alpha has launched in preview. The page indicates support for million-Token context, with free input and output.
Article
OpenRouter Anonymous large model Space Bunny Alpha launches, supporting 1000000 Token context and available free of charge
PANews September 26 reported, according to the OpenRouter model page, the anonymous large model Space Bunny Alpha has September 23 launched in preview, featuring high-speed inference and coding capabilities. It supports adjustable reasoning intensity, native multimodal input (text, images, and video), tool calling, structured output, and 1000000 Token a context window, with a maximum single output of 524,288 Token. The page currently indicates that both input and output are free. The model is developed and operated by a third-party provider that has chosen to remain anonymous during the preview period;OpenRouter is responsible only for request routing and is not its developer, owner, or provider. User prompts and model outputs may be retained by the provider, but will not be used for training.
PANews stated that, according to the OpenRouter model page, Space Bunny Alpha September 23 launched in preview.
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The original article states that the model emphasizes high-speed inference and coding capabilities and supports adjustable reasoning intensity.
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The original article states that the model supports native multimodal input for text, images, and video, as well as tool calling and structured output.
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The original article states that the model supports a 1000000 Token context window, with a maximum single output of 524,288 Token。
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The original article states that the page currently indicates that both model input and output are free.
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The original article states that the model is developed and operated by a third-party provider that remains anonymous during the preview period, and that OpenRouter is responsible only for request routing.
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The original article states that user prompts and model outputs may be retained by the provider but will not be used for training.
AI-assisted interpretation
The following is analysis, separate from reported facts. Verify important claims independently.
This is an anonymous large model currently in preview. According to the model page cited in the report, it can process long content in a single request, accept text, images, and video, call tools, and generate structured results. The page currently labels input and output as free, but the identities of its actual developer and operator have not been disclosed.
Why it matters to readers
Its large context window, multimodal input, tool calling, and high maximum single-output limit may make it suitable for processing long documents, code, and complex tasks; its free status also lowers the barrier to trying it.
Beginners can try long-text, multimodal, and code-related capabilities at low cost, but should avoid submitting sensitive information because prompts and outputs may be retained by the anonymous provider.
Risks and unknowns
The identity of the third-party provider has not been disclosed.
The original article does not specify how long free access will continue or whether rate or call-volume limits apply.
High-speed reasoning and coding capabilities are the page's primary focus; the original text provides no independent test results.
1000000 Token Context, multimodal capabilities, and 524,288 Token the actual performance of the output limit was not verified in the original text.
The provider may retain prompts and model outputs, but the original text does not specify the retention period or the specific management practices.
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