LLM Reference

BGE Base EN v1.5

Released
2023-09-12
Last refreshed
2026-06-03
Status
Researched 1d ago

BGE Base EN v1.5 is worth evaluating for general LLM work when its provider route and context window match the workload.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 512 context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
BGE
Released
2023-09-12
Context
512
Parameters
109M
Architecture
encoder
Specialization
embedding
License
MIT
Training
pretrained
Created by

Open-source AI fostering global collaboration

Beijing, China
Founded 2018
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 1 route · Cloudflare Workers AI

About

BGE Base EN v1.5 is BAAI's base-scale English embedding model for semantic search and retrieval. The v1.5 update improves retrieval quality and similarity calibration while producing 768-dimensional embeddings, and Cloudflare Workers AI serves it for retrieval workloads.

BGE Base EN v1.5 is a model in the BGE family. The structured metadata tracks a 512-token context window. This page tracks provider routes through Cloudflare Workers AI. No headline benchmark score is tracked for BGE Base EN v1.5 yet.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Cloudflare Workers AI--
ServerlessPartial

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

Rankings & picks(2)