768-dimension English embeddings — half the vector of bge-large-en at the same per-million rate, so an index built on it is half the storage and half the comparison cost. Retrieval quality gives up little on short chunks, which is what the 512-token window enforces anyway.
Modalities
Text → Text
Usage
How much this model is actually called here.
Rank
#80
of 98 active models
Tokens served
49.5K
all-time
Platform share
0.0%
of all tokens
Pricing
Pay per token. Cached input bills at this model’s own cached rate, listed below.
+ Estimate your workload− Estimate your workload
Estimated monthly cost
$0.4050
$0.0135 / day on BGE Base EN v1.5
Same workload on:
Estimates use list pricing. Actual bills depend on real token counts, and every response includes its exact cost.
How it compares
Against the peers people actually weigh it against.
| Spec | BGE Base EN v1.5 | BGE-M3 | BGE Large EN v1.5 |
|---|---|---|---|
| Input /1M | $0.00675 | $0.0135 | $0.0135 |
| Output /1M | $0.00 | $0.00 | $0.00 |
| Context | 1K | 8K | 1K |
| Tools | No | No | No |
| Reasoning | No | No | No |
| Throughput | 1500 tok/s | 1318 tok/s | 1381 tok/s |
Quick start
Up and running in under two minutes.
- 1
Create an API key
Sign up and grab a key from the dashboard — $0.50 free credit on the free tier, which covers BGE Base EN v1.5. No card required.
Get API key → - 2
Make your first request
Submit a generation job and poll until it succeeds.
curl https://kymaapi.com/v1/embeddings \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "bge-base-en", "input": ["first document", "second document"] }'
FAQ
Common questions about this model.
What is the context window of BGE Base EN v1.5?
How much does the BGE Base EN v1.5 API cost?
Does BGE Base EN v1.5 support function calling?
How do I use BGE Base EN v1.5?
More models by BAAI
| Model | Context | Input | Output |
|---|---|---|---|
| 8K | $0.0135 | $0.00 | |
| 1K | $0.0135 | $0.00 |