BGE-M3
BGE-M3 for Embeddings.
Explore BGE-M3 for Embeddings through the unified API. Supported interfaces and current availability are shown below.
- Embeddings
Model details
- Context window
- 8K tokens
- Max output
- —
- Input
- Text
- Output
- Embeddings
- Capabilities
- —
- Interfaces
- Embeddings
Pricing
Prices use the units shown below. No gateway fees. Usage, size and model options may affect the total.
| Metric | Price |
|---|---|
| / 1M input tokens | $0.01 |
Why teams pick it
- BGE-M3 for Embeddings.
Call BGE-M3
BGE-M3 answers on the API below — pick the one your code already speaks and just swap in your Inferray key.
/v1/embeddingsEmbeddings · openai SDK or plain HTTP
curl https://api.inferray.com/v1/embeddings \
-H "Authorization: Bearer inferray_..." \
-H "Content-Type: application/json" \
-d '{
"model": "bge-m3",
"input": [
"A sample document"
]
}'Questions about this model
- Is there a free tier for BGE-M3?
- No. You add credit and pay BGE-M3's list rate for each request — seats, projects, and API keys are free, and pay-as-you-go credit never expires.
- Am I charged for failed requests?
- No. A request that fails without returning a result is not billed. If a response fails part-way, the tokens already processed before the failure are charged.
- Is BGE-M3 included in Token Plans?
- No. BGE-M3 is pay-as-you-go only; Token Plans cover the other text models in the catalog.
- Does BGE-M3 support tool calling and vision?
- BGE-M3 takes text in and returns text.
- Is it the real BGE-M3?
- Yes. A request for bge-m3 is answered by BGE-M3 from Baai, billed at its published list price. Inferray never substitutes a different or smaller model.