What is Space Bunny Alpha? +
A reasoning model from an anonymous provider, listed on OpenRouter on 23 September 2026. It accepts text, images and video and returns text, including code and tool requests. OpenCode lists Space Bunny Free under its own API model ID.
Is Space Bunny Alpha good? +
Yes, especially for creative SVG work. Space Bunny Alpha’s SVG benchmark showcases a rare artistic touch, with expressive characters, thoughtful composition and a distinctive sense of color.
Is Space Bunny Alpha a MiniMax model? +
The developer is unconfirmed. An independent OpenCode Go study found a MiniMax-compatible token-count signature on 24 probes. That is a family-level clue. MiniMax M3.1 is a proposed candidate, but the exact model has not been revealed.
Is Space Bunny Alpha free? +
OpenRouter currently lists $0 input and $0 output per million tokens for the preview. OpenCode describes its offer as free for a limited time. Account eligibility and rate limits still apply.
What is Space Bunny Alpha’s context window? +
OpenRouter lists 1,000,000 context tokens and a separate maximum-completion ceiling of 524,288 tokens. Reasoning contributes to completion-token accounting. The context listing and output ceiling are capacities, not measured retrieval or generation scores.
Where can I use Space Bunny Alpha? +
Use Space Bunny Alpha through OpenRouter, or access Space Bunny Free through OpenCode. The API quickstart includes examples for both providers.
Can Space Bunny Alpha generate audio? +
Space Bunny Alpha returns text, including code. Demodokos is a separate local studio for music, speech and dubbing. Listen to the demo.
Can I turn off Space Bunny Alpha’s reasoning? +
OpenRouter lists reasoning as mandatory, with low, medium, high, xhigh and max efforts. The catalog default is max; our code builder explicitly starts at low. Hiding reasoning text does not disable reasoning computation.
Why do Space Bunny Alpha speed benchmarks differ? +
The research cards use OpenRouter’s median dashboard figures. The expandable OpenCode comparison uses TokenDyno’s 24-hour averages from a fixed writing task. Different routes, workloads and timing definitions produce different numbers; each result keeps its source and window attached.