Space Bunny vs maap
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Space Bunny compared with maap
| Detail | 
Space Bunny | 
maap |
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| What it does | Long-context reasoning model with multimodal input and adjustable reasoning
| A 4B model that estimates numbers from text with calibrated intervals
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Paid
| Freemium
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| Pricing | Starter: $9.9 for 100,000 permanent credits; Pro: $99 for 1,000,000 permanent credits; Enterprise: $999 for 11,000,000 permanent credits (includes 10% extra). One-time purchase, no subscription, credits never expire.
| First 1,000 estimates free. Pricing for additional estimates available upon request.
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| Key features | - 1 million token context window
- Text, image and video input support
- Five adjustable reasoning levels
- Tool calling and function execution
- JSON output format support
- OpenAI-compatible API
- Online playground for prompt evaluation
- Maximum 524,288 completion tokens
- Server-side API key management
- Streaming and structured responses
| - Returns median, quantiles, and calibrated intervals for numerical estimates
- Processes text records in a single forward pass without text generation
- Responds in approximately 160 milliseconds
- Flags when targets are outside training distribution or intervals lack calibration guarantees
- Supports few-shot learning with at least eight labeled examples
- Trained on 36 public sources
- Calculates probability of exceeding user-specified thresholds
- For count targets can return probability of each whole number
- Accepts text input without requiring schema declaration or preprocessing
- Costs roughly two orders of magnitude less per prediction than frontier models
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| What makes it different | - One million token context window for handling long documents and entire codebases without fragmentation
- Adjustable reasoning effort allows matching speed and depth to specific task requirements
- Multimodal input combining text, images and video in a single conversation
- Independent service with anonymous model developer and transparent limitations
- Built-in tool calling keeps application control over permissions and side effects
| - Provides calibrated uncertainty quantification where language models cannot
- Transparently reports when calibration guarantees are absent
- Dramatically faster inference than text-generating alternatives at 160ms
- Designed for unstructured text without requiring labeled training data
- Explicitly signals new, unseen targets with fallback capability for code
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 51 ▲ +47 (up) since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 13 | 4 |
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| Citation Flow (Majestic) | 22 | 23 |
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| Referring domains (Majestic) | 57 | 23 |
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5 details filled in for both companies.
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