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Phi 3.5 Mini Instruct vs Phi 4 Mini Instruct

Put two to four models side by side on the fields that decide a deployment: context, price, region, license, languages, hosting, and what is verified.

Phi 3.5 Mini InstructPhi 4 Mini Instruct
Provider MicrosoftMicrosoft
Parameters 3.8B3.8B
Context window Not verified: the provider has not documented this claim.Not verified: the provider has not documented this claim.
License mitmit
Modalities texttext
Release date 16 Aug 202419 Feb 2025
Languages Strong: —
Adequate: nlp
Strong: cs, da, nl, en, fi, fr, de, hu, it, pl, pt, es, sv
Adequate: ar, zh, he, ja, ko, no, ru, th, tr, uk, nlp
Open weights yesyes
Tasks Reasoning, Summarisation, Multilingual supportReasoning, Summarisation, Multilingual support

Where two models differ, this table shows the difference and stops. LLM EU publishes no winner badge without a documented score for that task, and a missing figure stays missing instead of becoming a zero.

When to use it

Phi 3.5 Mini Instruct

Strengths

  • open weights are published on Hugging Face and can be downloaded without a vendor agreement
  • mit licence, so commercial self-hosting is permitted without a separate agreement
  • at 3.8B parameters it fits on a single accelerator
  • instruction-tuned checkpoint with a chat template in the repository

Limits

  • catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
  • no evaluation has been run by LLM EU
  • the published configuration records no context window, so the card carries none
  • at 3.8B parameters, the weights fit on a single modest accelerator

Tasks

Reasoning, Summarisation, Multilingual support

Phi 4 Mini Instruct

Strengths

  • open weights are published on Hugging Face and can be downloaded without a vendor agreement
  • mit licence, so commercial self-hosting is permitted without a separate agreement
  • at 3.8B parameters it fits on a single accelerator
  • the model page lists 13 languages the European Union publishes in, including cs, da, nl, en
  • instruction-tuned checkpoint with a chat template in the repository

Limits

  • catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
  • no evaluation has been run by LLM EU
  • the published configuration records no context window, so the card carries none
  • at 3.8B parameters, the weights fit on a single modest accelerator

Tasks

Reasoning, Summarisation, Multilingual support

Tasks: Reasoning, Summarisation, Multilingual support

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