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Artificial Analysis data
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Microsoft

Phi-4 Mini Instruct

Phi-4 Mini Instruct is a Microsoft language-model profile in the Easy Benchmarks snapshot. Use this page to compare its measured Artificial Analysis scores, output speed, time to first token, pricing, and relative ranking against other models in the local catalog.

Azure AI Foundry models

Operational Metrics

Output Speed44.2 tok/s
First Token0.35s
Blended Price-

Model Metadata

Queryable facts extracted from the upstream model payload.

ReleaseFeb 26, 2024
Context Windown/a
Modalitiesn/a
API fields: release_date

Strength: TTFT

Rank #11 across 293 models.

0.35s

Watch Area: Coding

Rank #375 across 410 models.

3.6

Watch Area: Overall

Rank #456 across 500 models.

8.4

Watch Area: Math

Rank #242 across 269 models.

6.7

Strength Profile

Percentile score by analysis domain.

Benchmark Percentiles

Higher bars mean stronger relative placement.

All Benchmarks

MetricDomainValueRank
Artificial Analysis Intelligence Indexoverall8.4#456
Artificial Analysis Coding Indexcoding3.6#375
Artificial Analysis Math Indexmath6.7#242
MMLU-Proreasoning46.5%#304
GPQA
reasoning
33.1%
#422
Humanity's Last Examreasoning4.2%#391
LiveCodeBenchcoding12.6%#301
SciCodecoding, reasoning10.8%#418
MATH-500math69.6%#144
AIMEmath3.0%#168
Output Speedspeed44.2 tok/s#241
Time to First Tokenspeed0.35s#11