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Space Bunny — Anonymous 1M-Context Reasoning Model API

Space Bunny is a preview multimodal reasoning model with a 1M-token context window, five reasoning levels, and an OpenAI-compatible API via credit packs.

FreemiumLarge Language Models (LLMs)spacebunny.app
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Published on Oct 2, 2026

Decision summary

Space Bunny — Anonymous 1M-Context Reasoning Model API

Best for

  • Developers running repository-wide code review over large codebases
  • Teams analyzing long logs, screenshots, diagrams, or video URLs
  • Agent builders needing tool calling with JSON structured output

Watch out for

  • The model is anonymous and in preview — provider, architecture, and knowledge cutoff undisclosed
  • Output is text-only; no image or video generation
  • Concurrency caps per plan (1/3/10) and API access limited to higher tiers

Overview

What is Space Bunny?

Space Bunny is a multimodal reasoning model service marketed with the tagline "Big context. Curious mind." Its defining features are an unusually large 1M-token context window and a deliberate anonymity policy: the model is in preview, and the site states that "architecture, parameter count, training details and knowledge cutoff are not disclosed." The service says it is independently operated and not affiliated with the undisclosed model provider.

The product targets developers and teams doing long-context work — repository-wide code review, incident reasoning, analysis of screenshots, diagrams, and video URLs, agent workflows, and structured JSON outputs for data pipelines. Blog posts on the site date from September to October 2026, and the footer reads © 2026; no company, country, or founding information is given.

How Space Bunny Works

Integration follows the OpenAI convention: point the standard OpenAI SDK at base URL https://spacebunny.app/api and send prompts mixing long documents, code, image URLs or screenshots, and video URLs. Per request, developers set one of five reasoning levels — low, medium, high, xhigh, or max — to trade latency and cost against depth. The API supports streaming, tool calling with JSON response_format, and returns text only; "your application keeps authority over side effects," so tool execution stays in the caller's hands. Keys are documented as server-side credentials rather than client-side tokens. The browser playground mirrors these capabilities, so a prompt can be tested with usage-based credits before it is wired into application code.

A browser playground allows free testing with usage-based credits before any purchase.

Main Features

  • 1M-token context window — with a stated maximum of 524,288 completion tokens for long outputs.
  • Multimodal input — text plus image URLs, screenshots, and video URLs ("compatible URL input"); output is text only.
  • Five reasoning levels — low, medium, high, xhigh, and max, adjustable per request.
  • Tool calling and JSON mode — function calling with JSON response_format for structured pipelines.
  • OpenAI-compatible REST API — streaming support and standard OpenAI SDK compatibility via a base-URL change.
  • Free playground — a $0 preview tier with usage-based credits for testing before buying.

Pricing

Space Bunny uses one-time credit packs with no subscription, and credits never expire. A free $0 preview offers usage-based credits in the playground. Starter costs $9.9 for 100,000 credits with 1 workspace, 1 concurrent request, and standard speed. Pro costs $99 for 1,000,000 credits, adding unlimited workspaces, 3 concurrent requests, a fast lane, and API access. Enterprise costs $999 for 11,000,000 credits (a 10% bonus), with 10 concurrent requests, team workspaces, and dedicated support. The pricing is explicitly labeled a "$0 preview," signaling that terms may change once the product leaves preview.

Common Use Cases

  • Repository-wide code review — feeding large codebases into the 1M-token window for review passes.
  • Incident reasoning — long-context analysis of logs and timelines during outages.
  • Visual analysis — interpreting screenshots, diagrams, and video URLs for QA or support tooling.
  • Agent workflows — tool-calling loops where the application controls side effects.
  • Structured extraction — JSON response_format for pipelines that need machine-readable output.

Limitations

The anonymity is the central caveat: with no disclosed provider, architecture, parameter count, or knowledge cutoff, quality cannot be compared against named alternatives from the site alone, so evaluation requires hands-on testing through the playground. Output is text-only — no image or video generation. Concurrency is capped per plan (1/3/10 requests), lower tiers lack API access and fast-lane speed, and the service is explicitly in preview with terms that may change. The site also instructs that API keys must remain server-side, and being independently operated, it carries the usual third-party reseller risk of service discontinuation.

Summary

Space Bunny is a long-context reasoning API for developers who need huge context windows, multimodal URL input, and OpenAI-compatible integration without a subscription. The concrete spec sheet, never-expiring credits, and free playground lower the trial barrier. The equally concrete anonymity — unknown provider, unknown architecture, preview status — raises the diligence bar. It fits teams willing to evaluate an unnamed model on measured quality and price, particularly for code review and long-document workflows, and less suited to production systems that require vendor accountability.

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Score anatomy

The dimensions behind the editorial score, each with its judgment note. AI Readiness and GEO Score are platform assessments generated by AIGCLIST after submission.

Information quality

Context limits, reasoning levels, API compatibility, and plan pricing are documented precisely, but the model's anonymity means architecture, parameter count, provider, and knowledge cutoff are undisclosed by design.

7.0
Contextual

Official homepage specs, pricing, and FAQ, checked October 2026.

Ease of use

Integration is straightforward for developers: an OpenAI-compatible REST API with streaming works through the standard OpenAI SDK by changing the base URL, and a free browser playground allows testing before buying.

6.8
Verify

Official homepage API and playground sections.

Feature depth

The spec combines a 1M-token context window with up to 524,288 completion tokens, text/image/video URL input, five reasoning levels, tool calling, and JSON response_format — though output is text-only with no image or video generation.

7.2
Contextual

Official homepage capability list.

Workflow fit

Target workflows — repository-wide code review, incident reasoning, screenshot and diagram analysis, and structured JSON pipelines — map directly onto the long context and tool-calling features.

7.0
Contextual

Official homepage use-case section.

Reliability

The service self-describes as an anonymous model in preview; per-plan concurrency caps (1/3/10) apply, and the site notes it is independently operated and unaffiliated with the undisclosed model provider, with $0-preview terms that may change.

5.5
Verify

Official homepage disclaimers and plan table.

Value

One-time packs from $9.9 with credits that never expire and a free playground are friendly terms, but value depends entirely on the anonymous model's real quality, which cannot be verified from the site.

6.2
Verify

Official pricing table, checked October 2026.

Scores indicate documented product strength, not a hands-on guarantee.

Evidence check

Public claims about this tool, each tagged with a verification status and its cited source.

One-time credit packs, free $0 preview3
Space BunnyVerifiedChecked Oct 14, 2026

Space Bunny sells one-time credit packs with no subscription and credits that never expire: Starter $9.9 for 100,000 credits (1 workspace, 1 concurrent request), Pro $99 for 1,000,000 credits (unlimited workspaces, 3 concurrent, fast lane, API access), and Enterprise $999 for 11,000,000 credits with 10% bonus (10 concurrent, team workspaces, dedicated support). A free $0 preview playground offers usage-based credits.

The model exposes a 1M-token context window with a maximum of 524,288 completion tokens, accepts text, image URLs/screenshots, and video URLs as input (text output only), offers five reasoning levels (low, medium, high, xhigh, max), supports tool calling and JSON response_format, and works through an OpenAI-compatible REST API with streaming at base URL https://spacebunny.app/api.

The site states the model is anonymous and in preview — architecture, parameter count, training details, and knowledge cutoff are not disclosed — that API keys must stay server-side, and that the service is independently operated and not affiliated with the undisclosed model provider.

https://spacebunny.app/
Space Bunny official website

Model specs, API compatibility, reasoning levels, credit-pack pricing, and anonymity disclosures verified against the official homepage, October 2026. · Oct 14, 2026

Decision desk

The questions most worth resolving before you rely on the product or visit its official site.

Space Bunny is a preview-stage, anonymous multimodal reasoning model service with a 1M-token context window, text/image/video URL input, five reasoning levels, and an OpenAI-compatible REST API.

A free $0 preview playground offers usage-based credits. Paid one-time packs: Starter $9.9 for 100,000 credits, Pro $99 for 1,000,000, and Enterprise $999 for 11,000,000 credits with a 10% bonus. Credits never expire.

Yes — the site invites users to "start free in the playground" with usage-based credits, before committing to a credit pack.

Input is text plus image URLs, screenshots, and video URLs; output is text only, with tool calling and JSON response_format for structured results. There is no image or video generation.

The operator is not disclosed. The site states the model is anonymous and in preview, that architecture, parameter count, and knowledge cutoff are not disclosed, and that the service is independently operated and unaffiliated with the undisclosed model provider.

Verify on official site

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