All tasks / Comparisons

harrier-oss-v1-27b vs Qwen3-Embedding-8B

Compared only on public benchmark results, across the 1 task where both are listed: they share a tier in 1.

harrier-oss-v1-27b

Microsoft's MIT-licensed open-weights multilingual text embedding models, in 27B, 0.6B and 270M sizes.

Vendor: Microsoft
Weights: Open: run it yourself
Released: Mar 2026
GPU memory to run locally: ~54 GB
License: MIT
Last verified: 19 Oct 2026

Alternatives to harrier-oss-v1-27b

Qwen3-Embedding-8B

Alibaba's Apache-2.0 open-weights multilingual text embedding models in 0.6B, 4B and 8B sizes.

Vendor: Alibaba (Qwen)
Weights: Open: run it yourself
Released: Jun 2025
GPU memory to run locally: ~16 GB
License: Apache-2.0
Last verified: 19 Oct 2026

Alternatives to Qwen3-Embedding-8B

Task by task

Task	harrier-oss-v1-27b	Qwen3-Embedding-8B	Higher tier
Embeddings & retrieval Models	S74.3% on MTEB(Multilingual, v2) · Local	S70.6% on MTEB(Multilingual, v2) · Local	Same tier

A tier spans a range of scores, and small gaps on a leaderboard are often within its margin of error, so only a different tier counts as ahead. How we rank.

Same benchmark, both results

Benchmark	harrier-oss-v1-27b	Qwen3-Embedding-8B	Snapshot
MTEB(Multilingual, v2) Mean (Task): average main score over 131 multilingual tasks (bitext mining, classification, clustering, retrieval, reranking, STS, instruction reranking), higher is better	74.3% microsoft/harrier-oss-v1-27b	70.6% Qwen/Qwen3-Embedding-8B	19 Oct 2026