Compare
Phi 2 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 2 | Phi 4 Mini Instruct | |
|---|---|---|
| Provider | Microsoft | Microsoft |
| Parameters | 2.8B | 3.8B |
| Context window | Not verified: the provider has not documented this claim. | Not verified: the provider has not documented this claim. |
| License | mit | mit |
| Modalities | text | text |
| Release date | 13 Dec 2023 | 19 Feb 2025 |
| Languages | Strong: en Adequate: phi, 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 | yes | yes |
| Tasks | Reasoning, Low cost | Reasoning, 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 2
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 2.8B parameters it fits on a single accelerator
- the model page lists en
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 2.8B parameters, the weights fit on a single modest accelerator
Tasks
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
Tasks: Reasoning