BGE Large EN v1.5

Released
2023-09-12
Last refreshed
2026-04-28
Status
Researched 180d ago
Open sourceCommercial use: permitted
Specifications
Family
BGE
Released
2023-09-12
Context
512
Parameters
335M
Architecture
Encoder Only
Specialization
embedding
Openness
Open source
License
MITOSI-approvedPermitted
Weights
Available
Code
Unknown
Training
Pretrained
Created by
Beijing Academy of Artificial Intelligence (BAAI)

Open-source AI fostering global collaboration

Beijing, China
Founded 2018
Website
Pricing
Output / 1M
-
Input / 1M
$0.204

Cheapest of 1 route · Cloudflare Workers AI

Providers(1)
Cloudflare Workers AI
Links
Website HuggingFace

About

BGE Large EN v1.5 is BAAI's high-performance English embedding model, producing 1,024-dimensional dense vectors. It ranked 1st on the MTEB leaderboard at release with an average score of 64.23 across 56 tasks. Version 1.5 addresses similarity distribution issues from earlier releases, improving retrieval quality even when query instructions are omitted. Based on BERT-large architecture.

Providers(1)

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

ProviderInput / 1MOutput / 1MRoute
Cloudflare Workers AI$0.204-
ServerlessPartial

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

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

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
MTEB English v2
65.89MTEB(eng, v2)Observed 2026-10-17
Harness: mteb 2.26.6 leaderboard aggregation, Mean (Task) over 41 tasks
Evaluator: MTEB (embeddings-benchmark/results)
Confidence: confirmed
Notes: MTEB(eng, v2) Mean (Task) 65.89 over 41 tasks; Mean (TaskType) 61.87. Computed with the leaderboard's own code (mteb 2.26.6 Benchmark summary table) from embeddings-benchmark/results @ 4bb41dd (2026-10-17). Source: MTEB (embeddings-benchmark/results, CC0). Retrieved 2026-10-17. Results folder includes an 'external' (copied/reported) revision alongside maintainer-run results.
Source

Migration checks

No linked migration route is available for this model yet.