maap vs LLMBenchmark.ai
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
maap compared with LLMBenchmark.ai
| Detail | 
maap | 
LLMBenchmark.ai |
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| What it does | A 4B model that estimates numbers from text with calibrated intervals
| LLM leaderboard tracking 382 AI models with benchmark scores, API prices and cost per solved task, updated daily
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| Stage | Not given
| Established
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| Founded | Not given
| 2019
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| Based in | Not given
| PL
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| Pricing model | Freemium
| Free
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| Pricing | First 1,000 estimates free. Pricing for additional estimates available upon request.
| Free; data available as JSON, via free API and MCP server
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| Key features | - 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
| - Vibe Coding Index measuring performance on coding tasks
- Cost per solved task metric for real-world efficiency
- Daily data refresh from 32 public benchmark sources
- Compare any two models side by side
- API and MCP server for programmatic data access
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| What makes it different | - 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
| - Proprietary cost per solved task metric not published elsewhere
- Data updated daily and checked hourly for model announcements
- Free CC BY 4.0 licensed data for reuse and embedding
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 4 | 5 |
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| Citation Flow (Majestic) | 23 | 26 |
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| Referring domains (Majestic) | 23 | 17 |
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5 details filled in for both companies.
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