Free Embedding Model APIs Roundup

Embeddings are the foundation of RAG, semantic search, and recommendation systems. This article rounds up embedding models currently available via free API calls, helping you choose without trial and error.

Why Do You Need Embedding APIs?

Embeddings map text into fixed-dimensional floating-point vectors so that semantically similar content is closer in vector space. Core use cases include:

• RAG (Retrieval-Augmented Generation): Vectorize knowledge base documents, store in a vector DB, and recall relevant chunks via similarity search at query time
• Semantic Search: Move beyond keyword matching to semantic recall
• Clustering & Classification: Automatically group or label large text corpora
• Recommendation Systems: Content-similarity-based recommendations

Evaluation Criteria

1. OpenAI text-embedding-3-small (Free Tier)

• Dimensions: 1536 (reducible to 256/512)
• Context: 8191 tokens
• Multilingual: 100+ languages, excellent Chinese support
• Rate: Shared free quota via APIShare unified access
• Highlights: Industry benchmark; the dimensions parameter lets you trade off quality vs. storage

2. Hugging Face Inference API — BGE Series

• Models: BAAI/bge-large-en-v1.5, BAAI/bge-m3
• Dimensions: 1024 (both)
• Context: 512 (bge-large) / 8192 (bge-m3)
• Multilingual: bge-m3 supports 50+ languages including Chinese, Japanese, Korean
• Rate: 1,000 calls/day on Inference API free tier
• Highlights: bge-m3 outputs dense + sparse + ColBERT vectors simultaneously

3. NVIDIA NIM — NV-Embed-v2

• Model: nvidia/nv-embed-v2
• Dimensions: 4096
• Context: 32,768 tokens
• Multilingual: Primarily English
• Rate: 1,000 calls/day on NIM free tier
• Highlights: Consistently Top 3 on MTEB; ultra-long context for whole-document embedding

4. Jina AI — jina-embeddings-v3

• Model: jinaai/jina-embeddings-v3
• Dimensions: 1024
• Context: 8192 tokens
• Multilingual: 89 languages
• Rate: 1M tokens/month with free API key
• Highlights: Task-type parameters optimize vectors per use case

5. Nomic AI — nomic-embed-text-v1.5

• Model: nomic-ai/nomic-embed-text-v1.5
• Dimensions: 768
• Context: 8192 tokens
• Multilingual: Primarily English
• Rate: Fully open-source, self-hostable; Nomic Atlas free tier provides API
• Highlights: Strong interpretability, Matryoshka dimension reduction, fully open weights

6. Voyage AI — voyage-3 / voyage-3-lite

• Models: voyage-3 / voyage-3-lite
• Dimensions: 1024 (voyage-3) / 512 (lite)
• Context: 32,000 tokens
• Multilingual: 100+ languages including Chinese
• Rate: 50M tokens/month free tier
• Highlights: Ultra-long context + leading MTEB scores; ideal for legal/academic documents

7. Mixedbread — mxbai-embed-large-v1

• Model: mixedbread-ai/mxbai-embed-large-v1
• Dimensions: 1024
• Context: 512 tokens
• Multilingual: Primarily English
• Rate: Available on Hugging Face Inference API free tier
• Highlights: Top MTEB ranking, only 670M parameters — low deployment cost

Selection Guide

Unified Access via APIShare

All models above are accessible through APIShare's unified endpoint — one token, no need to register with each provider:

models = [
    "text-embedding-3-small",     # OpenAI
    "BAAI/bge-m3",                # Hugging Face
    "nvidia/nv-embed-v2",         # NVIDIA NIM
    "jinaai/jina-embeddings-v3",  # Jina
]
for model in models:
    resp = client.embeddings.create(model=model, input=text)
    print(model, len(resp.data[0].embedding))

Conclusion

The free embedding API ecosystem has matured significantly by 2026. For Chinese scenarios, BGE-m3 or OpenAI text-embedding-3-small are top choices; for long documents, NVIDIA NV-Embed-v2 or Voyage-3 excel; for zero-cost setups, self-host Nomic-embed or mxbai-embed. Through APIShare's unified endpoint, you can freely switch between all models within a single SDK and pick the best embedding quality per scenario.

🚀 Get Started: One-Click Free API Access

Want to call all the free models above with a single API key, no need to sign up for each provider? Apishare.cc provides a unified API Key — one key, 100+ models, free models at zero cost.

👉 Register on Apishare.cc → Get your unified API Key

📊 Want to see more free model rankings? Check out the Sep 2026 Free LLM API Rankings →

About the Free API Aggregator

The models covered in this guide are all served through the APIShare free API aggregator, which gives you one key for the whole catalog.

• Full model catalog: APIShare free API directory
• Sign up for a free trial key: Register and claim your API key