Microsoft
Microsoft
Embedding model · United States ·Mar 2026

Harrier-OSS-v1-27B

Embedding Open Weights
27B
Parameters
32.8K
Context

About Harrier-OSS-v1-27B

Harrier-OSS-v1-27B is an AI model developed by Microsoft, in the embedding category, released in 2026, made available as an open-weights model with 27B params. Flagship of Microsoft's Harrier multilingual text embedding family, a decoder-only model (Gemma3-based) with last-token .

On this page you'll find Harrier-OSS-v1-27B's full specifications, including a context window of 32.8K tokens. Review provider pricing and benchmark scores below, or compare Harrier-OSS-v1-27B head-to-head with other embedding models.

→ More models by Microsoft → All embedding models → AI benchmarks leaderboard

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Frequently asked questions

What is Harrier-OSS-v1-27B? ▶

Flagship of Microsoft's Harrier multilingual text embedding family, a decoder-only model (Gemma3-based) with last-token It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Harrier-OSS-v1-27B? ▶

Harrier-OSS-v1-27B was developed by Microsoft and released in 2026.

Is Harrier-OSS-v1-27B open source or proprietary? ▶

Harrier-OSS-v1-27B 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-v1-27B's context window? ▶

Harrier-OSS-v1-27B supports a context window of 32.8K tokens, and has 27B params.

How much does Harrier-OSS-v1-27B cost? ▶

Pricing for Harrier-OSS-v1-27B depends on the provider. See the providers table on this page for the latest API rates.

How does Harrier-OSS-v1-27B perform on benchmarks? ▶

Benchmark scores for Harrier-OSS-v1-27B 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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