LLMFly AI vs maap
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
LLMFly AI compared with maap
| Detail | 
LLMFly AI | 
maap |
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| What it does | One API to access GPT, Claude, Gemini and Grok models through an OpenAI-compatible interface
| 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 | GB
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| Pricing model | Paid
| Freemium
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| Pricing | Usage-based pricing per model. GPT-6 Astra: $3 input, $15 output per 1M tokens (≤272K tokens/request); $6 input, $22.5 output (>272K). GPT-5.6 Sol: $1.5 input, $9 output (≤272K); $3 input, $13.5 output (>272K). Claude Haiku 4.5: $0.5 input, $2.5 output per 1M tokens. Gemini 3.8 Flash: $0.3 input, $1
| First 1,000 estimates free. Pricing for additional estimates available upon request.
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| Key features | - OpenAI-compatible API endpoint for multiple models
- Support for GPT, Claude, Gemini, and Grok models
- Per-model transparent pricing with usage tracking
- API key management by application and environment
- One-to-one technical support for setup and integration
- Model rate comparison and pricing calculators
- Support for streaming and structured output
- Compatible with Claude Code, Codex, Cursor and backend services
| - 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 | - Single API for multiple leading models without rebuilding integrations
- Significant pricing discounts compared to official provider APIs
- One-to-one technical support and enterprise-grade daily experience
- Transparent per-request cost tracking with usage records
| - 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) | 75 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 11 | 4 |
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| Citation Flow (Majestic) | 37 | 23 |
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| Referring domains (Majestic) | 206 | 23 |
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5 details filled in for both companies.
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