Best Free Embedding Model APIs in 2026: 6 Providers with Real Free Tiers

Six embedding APIs with genuinely useful free tiers, and how to use them.

## Best Free Embedding Model APIs in 2026 Embeddings turn text into vectors for search and RAG. Several providers offer real free tiers in 2026 - here is who and how much. ### The free tiers 1. **Google Gemini embedding (text-embedding-004)** - free tier: 1,500 requests/day 2. **OpenAI text-embedding-3-small** - new accounts get 5 USD credit; ongoing free tier is limited 3. **Cohere embed-v4** - free trial tier with monthly credits, plus a free community plan 4. **Mistral embeddings** - generous free tier with rate limits 5. **Jina Embeddings v3** - free tier: 10M tokens/month, strong multilingual 6. **Local models (sentence-transformers)** - 100% free, runs on CPU, no rate limit ### How much do you get (roughly) - 1,500 req/day on Gemini covers a personal RAG project (thousands of documents chunked once) - Jina's 10M tokens/month embeds roughly 7-10 million words - a big personal corpus - Local models: unlimited, but you own the compute ### A free RAG pipeline in 5 lines [python] # Google Gemini free tier import google.generativeai as genai model = genai.embed_content(model="models/text-embedding-004", content="Your text here") print(len(model["embedding"])) # 768 dimensions [/python] ### Which to choose - Want zero API keys: local sentence-transformers - Multilingual docs: Jina - Already in Google Cloud: Gemini - Cheap + good quality: Mistral or Cohere trial ### FAQ **Are free tiers enough for production?** No - free tiers are for development and personal use; production needs paid plans. **Do free embeddings expire?** Rate limits and credit expiry differ; check each provider's current terms.