Adaapt.AI (Paid) vs HandyAI (Freemium), scored side by side on traffic, features, pricing, and audience so you can pick the right fit.
The most powerful, developer-friendly automation engine
Adaapt.AI is an enterprise-grade platform that bridges people, platforms, and systems with AI-driven intelligence.
The AI dev tools you keep Googling for.
HandyAI is a growing library of single-purpose, free tools for people building with large language models.
HandyAI leads 3 of 4 rounds
HandyAI leads on feature coverage, integrations and pricing value. Adaapt.AI is stronger on domain rating.
The details
Pricing details not available.
Adaapt.AI
HandyAI
What is Adaapt.AI?
Adaapt.AI is an AI DevTools platform that serves as an enterprise-grade automation engine, bridging people, platforms, and systems with AI-driven intelligence.
Who is Adaapt.AI for?
Adaapt.AI is designed for enterprises across various sectors, including healthcare for real-time patient monitoring and discharge coordination, financial services for fraud detection, and manufacturing for predictive maintenance.
What can I do with Adaapt.AI?
With Adaapt.AI, you can automate complex workflows, integrate with over 500 enterprise systems, gain real-time insights through AI analytics, and utilize predictive intelligence to manage risks and optimize operations.
How much does Adaapt.AI cost?
Adaapt.AI publishes a custom / contact-sales pricing model — get a quote on their site.
How is Adaapt.AI different from alternatives?
Adaapt.AI differentiates itself by offering a developer-friendly automation engine that combines advanced AI capabilities with extensive integration options, catering specifically to enterprise needs.
How is the token count calculated?
For OpenAI models we run the official BPE tokenizer (`cl100k_base` for GPT-3.5/4, `o200k_base` for GPT-4o) via js-tiktoken — same exact algorithm OpenAI uses. For Claude we use Anthropic's published Claude 2 tokenizer, which matches Claude 3+ within ~5% for English text. For Gemini we approximate at ~4 chars/token because no public Gemini tokenizer exists.
Does my text leave the browser?
No. All tokenization is client-side. Nothing is sent to any server — not ours, not OpenAI's, not Anthropic's. Open your network tab and verify if you like.
Why are input and output prices different?
Providers charge more for tokens the model _generates_ than for tokens you _supply_. Output tokens are computationally more expensive because the model decodes them autoregressively. The toggle above lets you project either side of the cost.
How much does 1M tokens cost in May 2026?
Roughly: **Claude 3.5 Sonnet** is $3 in / $15 out per 1M tokens. **GPT-4o** is $2.50 / $10. **Claude Haiku** is $0.25 / $1.25. **GPT-4o-mini** is $0.15 / $0.60. **Gemini 1.5 Flash** is $0.075 / $0.30. The cheap models are 20-100x cheaper than the flagship models — a big lever for high-volume apps.
How accurate are these cost projections?
Exact for a known workload — the math is straightforward: (input × input rate) + (output × output rate), with the cached fraction billed at the model's cached-input rate. Pricing comes from each provider's published rate card. The variable is how well your typed numbers match your actual workload. If you don't know your token sizes, the [Token Counter](https://handyai.tools/tools/token-counter/) helps you calibrate against a real sample.
Stronger on domain rating.
Stronger on feature coverage, integrations and pricing value.
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