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microsoft · Open weights

Phi 4 Mini

Added Jul 26, 2025Open weights

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Use in the app

Phi 4 Mini by Microsoft. A small multilingual model.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.17
Output
$0.68

Reference prices as published by the model provider. API example

Specifications

Context window
128K
Max output
16.4K
Average output (7 days)
24 tokens
Longer than 0% of 465 models

Side by side

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Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

6.3

Better than 4% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    3.8

    Composite of the coding evaluations

    Better than 0% of 168 scored models

  • Math Index

    6.7

    Composite of the math evaluations

    Better than 5% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    15.3%

    Reasoning across long documents

    Better than 5% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    4.4%

    Expert-level questions across academic fields

    Better than 11% of 323 scored models

  • GPQA Diamond

    33.1%

    Graduate-level science questions

    Better than 2% of 291 scored models

  • MMLU-Pro

    46.5%

    Multi-subject knowledge and reasoning

    Better than 3% of 132 scored models

  • IFBench

    21.1%

    Following precise output instructions

    Better than 0% of 215 scored models

Coding

  • LiveCodeBench

    12.6%

    Recent competitive programming problems

    Better than 3% of 129 scored models

Math

  • AIME 2025

    6.7%

    Competition mathematics, 2025 problems

    Better than 5% of 118 scored models

  • AIME

    3.0%

    Competition mathematics

    Better than 5% of 72 scored models

  • MATH-500

    69.6%

    Competition math problems

    Better than 13% of 73 scored models

Legacy evaluations

  • Terminal-Bench Hard

    0.0%

    Earlier terminal task suite

    Better than 0% of 212 scored models

  • τ²-Bench Telecom

    8.2%

    Tool use in a customer-support simulation

    Better than 0% of 214 scored models

  • AA-LCR (unversioned)

    15.3%

    Long-context reasoning, earlier grading

    Better than 5% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits
0.0%
Request success (24h)
100.0%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 100.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "phi-4-mini-instruct",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="phi-4-mini-instruct",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

microsoft

Other microsoft models, starting with the same family.