Microsoft
Microsoft
Embedding model · United States ·Mar 2026

Harrier-OSS-v1-0.6B

Embedding Open Weights
600M
Parameters
32.8K
Context

About Harrier-OSS-v1-0.6B

Harrier-OSS-v1-0.6B is an AI model developed by Microsoft, in the embedding category, released in 2026, made available as an open-weights model with 0.6B params. Mid-size member of Microsoft's Harrier embedding family, a decoder-only model producing 1024-dim embeddings, trained wit.

On this page you'll find Harrier-OSS-v1-0.6B's full specifications, including a context window of 32.8K tokens. Review provider pricing and benchmark scores below, or compare Harrier-OSS-v1-0.6B head-to-head with other embedding models.

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Frequently asked questions

What is Harrier-OSS-v1-0.6B? ▶

Mid-size member of Microsoft's Harrier embedding family, a decoder-only model producing 1024-dim embeddings, trained wit It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Harrier-OSS-v1-0.6B? ▶

Harrier-OSS-v1-0.6B was developed by Microsoft and released in 2026.

Is Harrier-OSS-v1-0.6B open source or proprietary? ▶

Harrier-OSS-v1-0.6B 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-v1-0.6B's context window? ▶

Harrier-OSS-v1-0.6B supports a context window of 32.8K tokens, and has 0.6B params.

How much does Harrier-OSS-v1-0.6B cost? ▶

Pricing for Harrier-OSS-v1-0.6B depends on the provider. See the providers table on this page for the latest API rates.

How does Harrier-OSS-v1-0.6B perform on benchmarks? ▶

Benchmark scores for Harrier-OSS-v1-0.6B 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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