Post-Cutoff

MicrosoftPhi-4 familyLegacyLanguage modelReleased 12 Dec 2024

Phi-4 (14B)

Small open model for local/edge reasoning, math and English text tasks.

Model idPhi-4

Price$0.07 in, $0.14 out per 1M tokens

Checked29 September 2026

No published training cutoff

At least2,045events since its release on 12 December 2024

93 historic, 480 major. 701 days of news.

Microsoft doesn’t publish a training cutoff, so we count from its release date. The real gap is larger. Coverage before 2026 is thin (34 entries for 2024 and 80 for 2025), so this count is a floor.

How to call it

3 ways to use Phi-4 (14B), with the model id each provider expects.

Providers, model ids, endpoints and docs for Phi-4 (14B)
ProviderModel idEndpointDocs
Hugging Face huggingface.co
Azure AI Foundry Phi-4 azure.microsoft.com
OpenRouter microsoft/phi-4 openrouter.ai

Pricing

Prices for Phi-4 (14B)
Input$0.07 per 1M tokens
Output$0.14 per 1M tokens

As published: “per 1M tokens (USD) on OpenRouter; self-hosting free”.

Source: openrouter.ai, checked 29 September 2026.

Specs

Input
Text
Output
Text
Context window
16,384 tokens
Max output
Not published
Open weights
Yes
Licence
MIT
Training cutoff
Not published
Released
12 December 2024
Status
Legacy
Type
Language model

What stands out

What its maker marketed at launch, and what people found later, each with its source.

  • Synthetic-data small model

    14B dense model trained on 9.8T tokens heavy in curated synthetic data, prioritizing reasoning over scale (84.8 MMLU, 80.4 MATH).

    Source: huggingface.co

  • Reasoning derivatives

    Base for Phi-4-reasoning, Phi-4-reasoning-plus, Phi-4-mini(-reasoning/-flash-reasoning) and Phi-4-multimodal-instruct open models.

    Source: huggingface.co

Notes

No Phi-5 found on Hugging Face as of 2026-09-29 (microsoft org). Siblings: microsoft/Phi-4-mini-instruct, microsoft/Phi-4-reasoning-plus, microsoft/Phi-4-multimodal-instruct.

from transformers import pipeline
pipe = pipeline("text-generation", model="microsoft/phi-4", device_map="auto")
print(pipe([{"role":"user","content":"Solve 2x+3=11"}], max_new_tokens=128))

Sources: https://huggingface.co/microsoft/phi-4 , https://azure.microsoft.com/en-us/products/phi

Not yet checked against an official source: Foundry model name not re-verified today.