Cohere API vs Google Gemini API

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

The verdict

Choose Cohere API if you want to call it from browser JavaScript, faster responses.
Choose Google Gemini API for its data: Multimodal generative AI for text, vision, and code generation.

	Cohere API	Google Gemini API
What it does	NLP API for text generation, embeddings, classification and summarization with a free trial tier.	Multimodal generative AI for text, vision, and code generation.
Provider	Cohere	ai.google.dev
API key	Required	Required
HTTPS	Yes	Yes
CORS (browser calls)	Yes	Unknown
Status today	Online · 806 ms	Online · 1357 ms
Uptime (30 days)	Up	Up
Developer rating	Not rated yet	Not rated yet
Price	Free / free tier	Free / free tier

NLP API for text generation, embeddings, classification and summarization with a free trial tier.

Cohere's NLP platform provides customizable large language models and tools for developers to build AI applications.

Strengths

Multimodal generative AI for text, vision, and code generation.

Strengths

Prototyping or a tutorial? Pick the one that needs no API key (neither does, so compare their free tiers).
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.

Both require authentication (apiKey and apiKey).

Cohere API supports CORS, so front-end JavaScript can call it directly. Call the other from a server.