The Continuity Layer
Open models · Microsoft

Phi-4-reasoning-vision-15B: what the license allows, and what the maker charges

thecontinuitylayer.com/open-models/phi-4-reasoning-vision

Microsoft's compact open-weight multimodal reasoning model: a 15B model combining the Phi-4-Reasoning language backbone with a SigLIP-2 image encoder, released 4 March 2026 under MIT.

A6½/7
Score · #2 of 12
MIT
License
  1. 1

    Is Phi-4-reasoning-vision-15B under an open license?

    Yes

    Yes, by Microsoft's own page.

    The card lists the license as MIT.

    Yes means: The weights are under an OSI-approved license such as Apache-2.0 or MIT. Partly means the maker's own license with conditions, such as a user cap or an acceptable-use clause; no means research or non-commercial use only.

    Microsoft's own pageChecked 3 November 2026huggingface.co ↗
  2. 2

    Can you download Phi-4-reasoning-vision-15B's weights?

    Yes

    Yes, by Microsoft's own page.

    Weights are on Hugging Face under microsoft in BF16; the Hub lists eight quantized versions built from the model.

    Yes means: The maker's page links the weights for download with nothing more than a click-through license. Partly means an access form, an approval step, or only some sizes released.

    Microsoft's own pageChecked 3 November 2026huggingface.co ↗
  3. 3

    Does the maker state Phi-4-reasoning-vision-15B's context window?

    Yes

    Yes, by Microsoft's own page.

    The card states a context length of 16,384 tokens.

    Yes means: A token count for the context window is on the maker's page or model card.

    Microsoft's own pageChecked 3 November 2026huggingface.co ↗
  4. 4

    Does the maker say what it takes to run Phi-4-reasoning-vision-15B on your own machine?

    Yes

    Yes, by Microsoft's own page.

    15B parameters in BF16; the card says the model was tested on NVIDIA A6000, A100, H100 and B200 GPUs under Ubuntu 22.04.5 and that other GPUs with enough memory may work but are untested; it gives no memory figure or quantization guidance.

    Yes means: The page states the parameter count and the memory or hardware it needs. Partly means the parameter count alone.

    Microsoft's own pageChecked 3 November 2026huggingface.co ↗
  5. 5

    Does the maker publish a price for its hosted Phi-4-reasoning-vision-15B?

    Partly

    Partly, by Microsoft's own page.

    The card links the model on Azure AI Foundry and states no per-token price; no Microsoft page read on the day checked gives one.

    Yes means: A per-token price on the maker's own pricing page. Partly means a hosted version exists but the price sits behind sign-in or a sales call.

    Microsoft's own pageChecked 3 November 2026huggingface.co ↗
  6. 6

    Does the maker train on your prompts when you use its hosted Phi-4-reasoning-vision-15B?

    No

    No, by Microsoft's own page.

    Microsoft's Azure AI Foundry data privacy page (last updated 2 March 2026) says of serverless API deployments: "Microsoft doesn't use these prompts and outputs to train or improve Microsoft models, the model provider's models, or any third party's models."

    Yes means: Here no is the good answer: the maker's page says what you send its API is not used for training. Yes means it is unless you opt out; partly means it depends on the plan or the page does not give the default.

    Microsoft's own pageChecked 3 November 2026learn.microsoft.com ↗
  7. 7

    Can you fine-tune Phi-4-reasoning-vision-15B and keep the result?

    Yes

    Yes, by Microsoft's own page.

    MIT per the card, which states no condition on derivatives; the card gives no fine-tuning guidance of its own.

    Yes means: The license allows fine-tuning and the fine-tuned weights are yours to keep and share. Partly means conditions follow the derivative, or a hosted fine-tune you cannot download.

    Microsoft's own pageChecked 3 November 2026huggingface.co ↗

License as stated: MIT, stated on the model card.. Every grade above is read from Microsoft's own page on the day shown. If a page has changed, tell us.