Decision summary
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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