Microsoft
Microsoft
Embedding model · United States ·Mar 2026

Harrier-OSS-v1-270M

Embedding Open Weights
270M
Parameters
32.8K
Context

About Harrier-OSS-v1-270M

Harrier-OSS-v1-270M is an AI model developed by Microsoft, in the embedding category, released in 2026, made available as an open-weights model with 0.3B params. Compact member of Microsoft's Harrier embedding family producing 640-dim embeddings, trained with contrastive learning a.

On this page you'll find Harrier-OSS-v1-270M's full specifications, including a context window of 32.8K tokens. Review provider pricing and benchmark scores below, or compare Harrier-OSS-v1-270M head-to-head with other embedding models.

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Frequently asked questions

What is Harrier-OSS-v1-270M? ▶

Compact member of Microsoft's Harrier embedding family producing 640-dim embeddings, trained with contrastive learning a It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Harrier-OSS-v1-270M? ▶

Harrier-OSS-v1-270M was developed by Microsoft and released in 2026.

Is Harrier-OSS-v1-270M open source or proprietary? ▶

Harrier-OSS-v1-270M ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

What is Harrier-OSS-v1-270M's context window? ▶

Harrier-OSS-v1-270M supports a context window of 32.8K tokens, and has 0.3B params.

How much does Harrier-OSS-v1-270M cost? ▶

Pricing for Harrier-OSS-v1-270M depends on the provider. See the providers table on this page for the latest API rates.

How does Harrier-OSS-v1-270M perform on benchmarks? ▶

Benchmark scores for Harrier-OSS-v1-270M are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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