Microsoft: Phi 4 Mini Instruct

Microsoft: Phi 4 Mini Instruct

microsoft · Released Oct 17, 2025 Efficient
Intelligence #282 / 583
31.2 Our Score
Speed #234 / 276
46.7 tokens / sec
Input #183 / 583
$0.080 per 1M tokens
Output #225 / 583
$0.350 per 1M tokens
Context #240 / 583
131,072 tokens

Analysis Summary

Phi 4 Mini Instruct is Microsoft's small-footprint model with an intelligence index of 3.0 and a coding index of 3.6, placing it firmly in the lower tier of the benchmarked field. Its agentic index of 8.2 and livecodebench score of 0.126 confirm it is not suited to complex reasoning, coding, or multi-step agentic tasks.

For businesses, this model is best reserved for simple classification, short-form text generation, or edge-deployment scenarios where compute cost and latency are the dominant constraints. Instruction following (ifbench 0.21) and long-context reasoning (lcr 0.14) are weak, so it should not be used for nuanced content or document analysis.

At $0.08 input and $0.35 output with a 131K context window, it is one of the cheaper Microsoft-backed options. Adopt it only where task complexity is low and cost savings justify the capability trade-off.

Assessed June 19, 2026

Editorial notes

Microsoft Phi 4 Mini Instruct is a compact, low-cost model with limited reasoning and coding capability, suited only to lightweight tasks where cost and latency are the primary constraints.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence1.2Technical0.8Value7.8Content3.5
Intelligence 1.2/10
Technical 0.8/10
Content 3.5/10
Value 7.8/10

How Microsoft: Phi 4 Mini Instruct compares

Microsoft: Phi 4 Mini Instruct ranks #346 of 380 AI models we track for overall intelligence, #270 of 292 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. At $0.08 per million input tokens it is cheaper than 69% of comparable models.

About Microsoft: Phi 4 Mini Instruct

Phi-4-mini-instruct is a lightweight open model built upon synthetic data and filtered publicly available websites - with a focus on high-quality, reasoning dense data. The model belongs to the Phi-4..

Performance Indices

Source: Artificial Analysis

3 Intelligence Index
8.2 Agentic Index
6.7 Math Index

Benchmark Scores

Intelligence

GPQA Diamond 33.1% Graduate-level scientific reasoning
HLE 4.2% Humanity's Last Exam
MMLU Pro 46.5% Multi-task language understanding
MATH 500 69.6% Mathematical problem-solving
AIME 3% Competition mathematics
AIME 2025 6.7% Competition mathematics (2025)
SciCode 10.8% Scientific computing

Technical

LiveCodeBench 12.6% Live coding evaluation
τ²-Bench 8.2% Conversational agent benchmark

Content

IFBench 21.1% Instruction following
LCR 13.7% Long-context reasoning

Benchmark data from Artificial Analysis and Hugging Face

How does Microsoft: Phi 4 Mini Instruct stack up?

Compare side-by-side with other efficient models.

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Model Information

OpenRouter ID microsoft/phi-4-mini-instruct
Providermicrosoft
Release Date October 17, 2025
Context Length131,072 tokens
Max Completion128,000 tokens
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.08 $0.000080
Output $0.35 $0.000350

Live Performance

Live endpoint metrics, refreshed every 30 minutes.

399ms
Best Latency (TTFT)
9 tok/s
Best Throughput
0/1
Active Endpoints
Available via: WandB

Frequently asked questions about Microsoft: Phi 4 Mini Instruct

How much does Microsoft: Phi 4 Mini Instruct cost?

Microsoft: Phi 4 Mini Instruct costs $0.08 per million input tokens and $0.35 per million output tokens.

What is the context window of Microsoft: Phi 4 Mini Instruct?

Microsoft: Phi 4 Mini Instruct has a context window of 131,072 tokens (131K).

Who created Microsoft: Phi 4 Mini Instruct?

Microsoft: Phi 4 Mini Instruct is developed by Microsoft and was released on October 17, 2025.