Modelfax API vs Nonobench API

Two free Machine Learning APIs compared on access, reliability and developer ratings, using data from our daily health checks.

The verdict

Choose Modelfax API if you want faster responses.
Choose Nonobench API if its data fits your use case better; on access and reliability it's level with Modelfax API.

	Modelfax API	Nonobench API
What it does	LLM pricing, context windows and deprecation dates, schema-validated and updated daily.	Open-source benchmark of how well LLMs solve nonogram puzzles.
Provider	bytebrujo.github.io	Nonobench
API key	Not needed	Not needed
HTTPS	Yes	Yes
CORS (browser calls)	Yes	Yes
Status today	Online · 328 ms	Online · 656 ms
Uptime (30 days)	Up	Up
Developer rating	Not rated yet	Not rated yet
Price	Free / free tier	Free / free tier

LLM pricing, context windows and deprecation dates, schema-validated and updated daily.

Machine-readable registry of AI model pricing, context windows, and deprecation dates across OpenAI, Anthropic, and Google. Free JSON API.

Strengths

Open-source benchmark of how well LLMs solve nonogram puzzles.

Evaluate and compare how well large language models solve Nonogram puzzles. Interactive benchmark results and AI reasoning leaderboards.

Strengths

Prototyping or a tutorial? Pick the one that needs no API key (both qualify).
Calling from a web page? You need CORS. Otherwise route requests through your own server or a serverless function.
Going to production? Favour HTTPS, a strong uptime record and a provider with clear rate limits and terms. Check each API's docs before you commit.
Still unsure? Both are free to try: send one request to each and compare the data you get back.

Neither needs an API key; you can call both straight away.