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BAAI

BGE Large EN v1.5

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

Tokens · last 15 daysSep 3Sep 17

Pricing

Pay per token. Cached input bills at this model’s own cached rate, listed below.

$0.0135 /1M input$0.00 /1M output
Hobby10 req/day · 2K in / 500 out
~$0.01/mo
Production1,000 req/day · 2K in / 500 out
~$0.81/mo
Scale20,000 req/day · 2K in / 500 out
~$16.20/mo
+ Estimate your workload
1,000
2,000
500

Estimated monthly cost

$0.8100

$0.0270 / day on BGE Large EN v1.5

Same workload on:

BGE-M3$0.8100
BGE Base EN v1.5$0.4050-50%

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.

SpecBGE Large EN v1.5BGE-M3BGE Base EN v1.5
Input /1M$0.0135$0.0135$0.00675
Output /1M$0.00$0.00$0.00
Context1K8K1K
ToolsNoNoNo
ReasoningNoNoNo
Throughput1381 tok/s1318 tok/s1500 tok/s

Quick start

Up and running in under two minutes.

  1. 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. 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?

BGE Large EN v1.5 has a 1K-token context window — roughly 1 pages of text in a single request.

How much does the BGE Large EN v1.5 API cost?

$0.0135 per 1M input tokens and $0.00 per 1M output tokens. No subscription; you pay only for what you use.

Does BGE Large EN v1.5 support function calling?

No — BGE Large EN v1.5 does not support tool calling. For agent workloads, choose a tools-enabled model from the catalog.

How do I use BGE Large EN v1.5?

Kyma is OpenAI-compatible: point your SDK's base URL at https://kymaapi.com/v1, use your Kyma API key, and set the model to bge-large-en. Signing up is free and includes $0.50 of credit on the free tier, which covers this model — no card required.

Start with $0.50 free credit on the free tier — no card required.Create account →

More models by BAAI

ModelContextInputOutput
BAAIBGE-M38K$0.0135$0.00
BAAIBGE Base EN v1.51K$0.00675$0.00