1024-dimension English embeddings, and still one of the most widely benchmarked retrieval models in production. The 512-token window forces chunking, which is why the newer entries above exist — but an index already built on it stays comparable.
Modalities
Text → Text
Usage
How much this model is actually called here.
Rank
#79
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
$0.8100
$0.0270 / day on BGE Large 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 Large EN v1.5 | BGE-M3 | BGE Base EN v1.5 |
|---|---|---|---|
| Input /1M | $0.0135 | $0.0135 | $0.00675 |
| Output /1M | $0.00 | $0.00 | $0.00 |
| Context | 1K | 8K | 1K |
| Tools | No | No | No |
| Reasoning | No | No | No |
| Throughput | 1381 tok/s | 1318 tok/s | 1500 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 Large 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-large-en", "input": ["first document", "second document"] }'
FAQ
Common questions about this model.
What is the context window of BGE Large EN v1.5?
How much does the BGE Large EN v1.5 API cost?
Does BGE Large EN v1.5 support function calling?
How do I use BGE Large EN v1.5?
More models by BAAI
| Model | Context | Input | Output |
|---|---|---|---|
| 8K | $0.0135 | $0.00 | |
| 1K | $0.00675 | $0.00 |