When was Phi 4 Mini Reasoning released?

Phi 4 Mini Reasoning was released on April 30, 2025 by Microsoft. This is the official Phi 4 Mini Reasoning release date tracked on LLM Stats.

How big is Phi 4 Mini Reasoning?

Phi 4 Mini Reasoning has 3.8 billion parameters. It was trained on 150 billion tokens. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Phi 4 Mini Reasoning?

Phi 4 Mini Reasoning was created by Microsoft.

What is the license for Phi 4 Mini Reasoning?

Phi 4 Mini Reasoning is released under the MIT license. This is an open-source / open-weight license that permits self-hosting.

What is the knowledge cutoff date for Phi 4 Mini Reasoning?

Phi 4 Mini Reasoning has a knowledge cutoff of February 2025, meaning it was trained on data up to that point and may not know about events after it.

Where is the Phi 4 Mini Reasoning paper or technical report?

Phi 4 Mini Reasoning has a paper or technical report available at https://arxiv.org/pdf/2504.21233. Use that source for architecture, training, release and evaluation details.

What models should I compare Phi 4 Mini Reasoning against?

Common Phi 4 Mini Reasoning comparisons include Phi 4 Mini Reasoning vs MiMo-V2.5-Pro, Phi 4 Mini Reasoning vs GPT-4o, Phi 4 Mini Reasoning vs DeepSeek R1 Zero. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.

Phi 4 Mini Reasoning Benchmarks, Pricing & Context Window

Name: Phi 4 Mini Reasoning
Author: Microsoft

Phi 4 Mini Reasoning: Benchmarks, Pricing & Context Window

Phi 4 Mini Reasoning is a language model from Microsoft, released in April 2025.

Phi-4-mini-reasoning is designed for multi-step, logic-intensive mathematical problem-solving tasks under memory/compute constrained environments and latency bound scenarios. Some of the use cases include formal proof generation, symbolic

Phi 4 Mini Reasoning benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for Phi 4 Mini Reasoning across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How Phi 4 Mini Reasoning holds up as conversations get longer.

Quality Tracker

Phi 4 Mini Reasoning Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

llm-stats.com - Mon Sep 14 2026

Notice missing or incorrect data?

Phi 4 Mini Reasoning model size

Phi 4 Mini Reasoning has 3.8 billion parameters and was trained on 150 billion tokens. See how it compares to other models in the same parameter range.

ParametersTraining tokens

3.8B

150Btokens

39× tokens-to-params ratio

Small (3–10B)

3.8B

1B7B70B405B

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Phi 4 Mini Reasoning latency

Phi 4 Mini Reasoning time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

Phi 4 Mini Reasoning examples

Recent arena outputs from Phi 4 Mini Reasoning, picked from the highest-ranked matchups.

Phi 4 Mini Reasoning license

Phi 4 Mini Reasoning is released under the MIT license, which permits commercial use, has 3.8B parameters, has a knowledge cutoff of February 2025.

License: MIT; Commercial use allowed
Parameters: 3.8B
Knowledge cutoff: February 2025

MIT License - allows commercial use

Phi 4 Mini Reasoning resources

Official sources for Phi 4 Mini Reasoning: provider documentation, paper or system card, official launch post, model weights.

Phi 4 Mini Reasoning vs other models

The most-compared alternatives to Phi 4 Mini Reasoning are MiMo-V2.5-Pro, GPT-4o, DeepSeek R1 Zero. Open any pair side-by-side for benchmarks, pricing, context, and latency.