Space Bunny Alpha API: Free 1M-Context Anonymous Model

A free 1M-context anonymous model

Space Bunny Alpha is a multimodal model available on TokenRa as space-bunny-alpha. It accepts text, image and video input, returns text, and provides a 1,000,000-token context window with up to 524,288 tokens of output. The provider is undisclosed and listed as a stealth release.

Space Bunny Alpha specifications

The values below reflect the specifications published for this model. Confirm the live limits and availability for your account in the TokenRa console before relying on them.

• Model ID: space-bunny-alpha; provider undisclosed and operated independently of TokenRa.
• Released September 23, 2026; currently listed at no per-token cost.
• Context window 1,000,000 tokens; maximum output 524,288 tokens.
• Input and output: text, image and video in, text out.
• Tool calling supported through tools and tool_choice; structured output through response_format, with JSON schema accepted but not strictly enforced.
• Reasoning effort is adjustable on the enabled integration.
• Data handling: prompts and completions are retained by the provider and are not used for training.

Where Space Bunny Alpha fits

Its combination of 1M context, video input and zero cost shapes where it works well — and where it does not.

• Repository-scale code reading and analysis inside a single context window.
• Long-document summarisation and research where chunking would lose the thread.
• Video and screen-capture review: interface walkthroughs, recorded demos, tutorial material.
• Agentic workflows with tool calls, clear stopping conditions, and application-level validation.
• Prototyping and evaluation where zero per-token cost matters more than a service guarantee.

How to get a Space Bunny Alpha API key

Register for TokenRa, open the dashboard, create an API key, confirm that Space Bunny Alpha is enabled for your account, and then send an OpenAI-compatible request from your server. Keep the key private and verify the live model identifier before production use.

curl https://tokenra.io/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"space-bunny-alpha","messages":[{"role":"user","content":"YOUR_TEST_PROMPT"}]}'

Any OpenAI-compatible client works the same way: point the API base at https://tokenra.io/v1 and set the model ID to space-bunny-alpha.

import openai

client = openai.OpenAI(
    base_url="https://tokenra.io/v1",
    api_key="YOUR_API_KEY",
)
response = client.chat.completions.create(
    model="space-bunny-alpha",
    messages=[{"role": "user", "content": "YOUR_TEST_PROMPT"}],
)
print(response.choices[0].message.content)

Space Bunny Alpha pricing: currently free

Space Bunny Alpha is currently listed at no per-token cost through TokenRa for both input and output. No credit card is required to get started. Free access is promotional and can change without notice; access is also subject to account eligibility, provider availability, and applicable rate limits. Verify the live TokenRa console before production use.

What to watch out for

Free access does not remove operational tradeoffs, and an anonymous release adds two of its own. Review these points before depending on Space Bunny Alpha in production.

• Stealth release: the codename can be claimed by a vendor at any time, and free access typically ends when it is. Design for a fallback model and do not build the codename into your product surface.
• Undisclosed provider: no company, model card, or research paper to evaluate. Identity claims circulating online are unconfirmed.
• No published benchmark scores: there is no official MMLU, SWE-bench, or AIME figure for this model, so evaluate it against your own workload rather than third-party claims.
• Structured output is not schema-enforced, so validate and repair JSON in your application.
• Video input behaviour should be verified on your account rather than assumed from the specification.
• Free pricing is promotional and can change; confirm rates and limits in the console before you depend on them.

What is known about its identity

Space Bunny Alpha appeared anonymously, and no vendor has claimed it. That is the current state of the public record, and it is worth stating plainly rather than filling the gap with a guess.

Independent fingerprint analysis of a same-codename model served through a different gateway reported a MiniMax-family tokenizer. Tokenizer evidence identifies a family, not a product or a generation, so it does not settle the question. For the full evidence chain, including what would and would not resolve it, see our independent analysis at Is Space Bunny Alpha MiniMax?

Data handling stated for this preview

Prompts and completions are retained by the provider and are not used for training. Because the provider is undisclosed, its own terms govern rather than TokenRa's. Review the applicable terms before sending sensitive or regulated information.

Production checklist

• Keep API keys on the server and separate credentials by environment.
• Confirm the 1M-token context and the supported input modalities against the live integration before relying on them.
• Do not build the codename space-bunny-alpha into your own API surface — keep it in configuration so a claim or rename is a config change, not a deploy.
• Evaluate representative long-context, multimodal, and agentic workloads on your own data.
• Set explicit timeouts, bounded retries, tracing, and application-side budgets.
• Configure a fallback model for availability gaps and for any change to free pricing.
• Review data handling, provider terms, privacy requirements, and output rights for your use case.

Space Bunny Alpha API FAQ

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