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Phi-tiny-MoE-instruct

Smallest SlimMoE variant (1.1B active) for CPU and NPU inference where every GB counts; 4K context and an Oct-2023 cutoff make it a component model, not a chatbot. Weights only.

Open weights · Permissive (Apache, MIT, OpenMDW) · Data checked September 6, 2026 · Not a hands-on evaluation

Model ID microsoft/Phi-tiny-MoE-instruct

Parameters
3.8B total · 1.1B active3.8B-A1.1B MoE
Architecture
Mixture of experts
Context window
4,096 tokensMaximum input
Max output
Not recordedPer response
Input price
Not published
Output price
Not published
Cached input
Not published
Blended price
Not available3:1 input to output
Knowledge cutoff
2023-10
Released
2025-06-23
Status
ga
Size band
Up to 4B

License and openness

Phi-tiny-MoE-instruct is released under the MIT. This is a permissive license. It generally allows use, modification and redistribution, including commercial use, subject to attribution and notice requirements. License terms can change between versions; confirm the text published with the weights you download.

Capabilities

The reference records no capability tags for this model.

Input modalitiestext
Output modalitiestext

What it is for

Weights only.

Cost at list price

InputNot published
OutputNot published
Cached inputNot published
Blended, 3:1Not available

The provider publishes no per-token price for this model. Any price you see elsewhere belongs to a third-party host, and running the weights yourself has hardware costs instead.

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Sources

Sources checked September 6, 2026. Specifications and prices change without notice; confirm against the provider before you commit.

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