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Microsoft

Phi-4 Mini Instruct

  • Released
  • Open weights
  • MIT
Intelligence Index

Standard setting

6.3
Estimated · Artificial Analysis v4.3.2
Context window
128K tok

Performance profile

ReasoningRank #103 of 107
33.1%
GPQA Diamond

Capabilities

Context window

Modalities

Measured setting

Reasoning trade-offs

Source (opens in a new tab)
Intelligence Index v4.3.2
StandardEstimated
Intelligence Index
6.3

Pricing & access

No API offering listed in our tracked sources.

Run locally

GGUF
Context
Estimated memory

~5.3 GiB

RAM + VRAM

Estimate assumptions

One text chat at the selected context, with a 16-bit cache and app allowance. Operating system and image processing are extra; optimized caches can use less.

16 GiB RAMwithout GPU offload

Memory budgetOne text chat
Weights
2.3 GiB
Context cache
1 GiB16-bit cache
App allowance
2 GiB
Download
2.5 GB
Disk space
~8 GB
Get GGUF (opens in a new tab)
Set up in Ollama · Q4_K_M · 8K context

Save the following as Modelfile. The context matches the estimate above.

FROM hf.co/lmstudio-community/Phi-4-mini-instruct-GGUF:Q4_K_M
PARAMETER num_ctx 8192

Then run these commands in your terminal:

ollama create llmcurrent-local -f Modelfile
ollama run llmcurrent-local

Ollama import instructions (opens in a new tab) · For LM Studio or Jan, open the app’s model search, enter lmstudio-community/Phi-4-mini-instruct-GGUF, choose Q4_K_M, and set context to 8,192 tokens in the app’s model settings. Software links above open each app’s setup guide.

Benchmarks

Full leaderboardSource (opens in a new tab)

Humanity’s Last Exam

Frontier reasoning

Phi-4 Mini Instruct · Standard#118 of 126

  1. 1Claude Opus 5.5Max61.4%
  2. 2Claude Fable 5.1Max59.1%
  3. 3Gemini 4 ArgonHigh57.1%
  4. 114Nova MicroStandard4.6%
  5. 114Ministral 3 14BStandard4.6%
  6. 117G9v3-3BReasoning4.5%
  7. 118Phi-4 Mini InstructStandard4.5%
  8. 119Reka Flash 3Reasoning4.4%
  9. 120Ministral 3 8BStandard4.3%
  10. 121Nova PremierStandard4.2%

Peers use their best measured result on this benchmark.