Space Bunny Alpha › How to Use It

How to Use Space Bunny Alpha: API Setup and Streaming

Space Bunny Alpha is free to call right now, and because TokenRA exposes an OpenAI-compatible API, setup is a base URL and a model slug. Below is the full path from an empty account to a working request — including the three details that trip people up: a negative account balance blocks free models, streaming failures arrive as events rather than HTTP errors, and the provider and fallback topology are not disclosed.

Last updated 25 September 2026 · Model ID space-bunny-alpha · Price: free during preview

What You Need to Use Space Bunny Alpha

Negative balance blocks free models too. TokenRA's documentation is explicit: if an account has a negative credit balance you may see errors "including for free models," and adding credits to bring the balance above zero restores access. A zero-cost model does not exempt you from a negative balance.

Step 1 — Create the account and key

Sign up at TokenRA and generate an API key. Put it in an environment variable rather than in your source:

export TOKENRA_API_KEY="your_tokenra_key"

How to Call the Space Bunny Alpha API

The base URL is https://tokenra.io/v1 and the model slug is space-bunny-alpha. Nothing else about your client changes:

curl https://tokenra.io/v1/chat/completions \
  -H "Authorization: Bearer $TOKENRA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "space-bunny-alpha",
    "messages": [
      {"role": "user", "content": "Summarise the trade-offs of a 1M-token context window."}
    ]
  }'

With an OpenAI SDK, the same call is a base-URL swap:

from openai import OpenAI

client = OpenAI(
    base_url="https://tokenra.io/v1",
    api_key=os.environ["TOKENRA_API_KEY"],
)

resp = client.chat.completions.create(
    model="space-bunny-alpha",
    messages=[{"role": "user", "content": "Hello"}],
)

How to Stream Space Bunny Alpha Responses

Streaming matters more on this model than on most. Its 524,288-token output ceiling means a long generation can run for a very long time before the first complete response would arrive; streaming is what makes it usable interactively.

Add "stream": true to the request payload. One behaviour to handle: if a rate limit is hit after streaming has started, the failure cannot be returned as an HTTP status code, because the status was already sent. TokenRA delivers it as a server-sent event with finish_reason: "error":

data: {"id":"cmpl-abc123","object":"chat.completion.chunk", ...,
  "choices":[{"index":0,"delta":{"content":""},"finish_reason":"error"}]}

If your stream handler only checks the HTTP status of the initial response, it will read that event as an empty chunk and silently truncate output. Branch on finish_reason.

How to Set Space Bunny Alpha Reasoning Effort

The listing states the model supports adjustable reasoning effort, which is the main quality/latency dial you have. Higher effort means more thinking tokens before the answer; on the 24 September 2026 snapshot's 80 tok/s P50, that latency is visible. For a quick classification task, low effort is usually enough; for long agentic coding work it is not.

How to Send Images and Video to Space Bunny Alpha

The model accepts text, images and video as input and returns text. Multimodal input is the reason many people reach for it, but it is also the least-documented surface of the listing — treat vision as a bonus rather than a settled capability. One independent analysis of a same-codename model served through OpenCode Go found vision to be adapter-class: images were accepted, with a flat token overhead that did not change with resolution, and small degenerate inputs could be misread. That is a signal to validate vision against your own data before depending on it; the test was not a direct measurement of the TokenRA listing.

How to Handle Space Bunny Alpha API Errors

This is the part that most guides skip, and it is the part that will page you at 3am. TokenRA identifies an anonymous third-party provider and acts as the API routing gateway, but its public model page does not disclose whether this route has fallback providers. Do not transfer OpenRouter's separate gateway behavior to TokenRA; handle errors at the application layer and keep a fallback model.

Check your remaining allowance before requests start failing rather than after — GET /v1/key returns your remaining credits and, for free-model tiers, the daily request counter and its ceiling.

What Not to Send to Space Bunny Alpha

The listing carries an explicit data notice: prompts and completions may be retained by the provider, though they are stated not to be used for training, and all other use falls under the stealth model terms. Combined with the fact that the operator is anonymous by design, this is categorically different from calling a model whose owner you can name. Do not send credentials, customer records, or anything you would not hand to an unidentified third party.

How to Keep a Space Bunny Alpha Integration Replaceable

Keep the model ID in one configuration value instead of scattering space-bunny-alpha through application code. That makes a future switch to a named or fallback model a configuration change rather than a refactor.

Before using the model for a real workflow, run a small acceptance set that covers the prompts, tools and input types you actually need. Record response errors, finish reasons, latency and output quality separately. A free preview can be useful for evaluation, but the anonymous provider and changing availability mean that a fallback should remain part of the design.

How to Use Space Bunny Alpha: FAQ

Related pages

• Space Bunny Alpha: specs, evidence and updates
• What Is Space Bunny Alpha?
• How to Use Space Bunny Alpha
• Free Tier, Limits and Availability
• Space Bunny Alpha vs MiniMax M3
• Stealth Alpha Models