Title: Phi 4 Mini Reasoning vs Phi Tiny MoE Instruct %E2%80%94 LLM EU
Canonical: https://llmeu.com/en/compare/phi-4-mini-reasoning-vs-phi-tiny-moe-instruct/
Markdown mirror: https://llmeu.com/en/compare/phi-4-mini-reasoning-vs-phi-tiny-moe-instruct.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Phi 4 Mini Reasoning vs Phi Tiny MoE 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.

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 4 Mini Reasoning](/en/models/phi-4-mini-reasoning/)

#### 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 en
- instruction-tuned checkpoint with a chat template in the repository

#### Limits

- catalogue only %E2%80%94 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](/en/tasks/reasoning/)

### [Phi Tiny MoE Instruct](/en/models/phi-tiny-moe-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 en
- instruction-tuned checkpoint with a chat template in the repository

#### Limits

- catalogue only %E2%80%94 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](/en/tasks/reasoning/), [Low cost](/en/tasks/cheap/)

**Tasks:** [Reasoning](/en/tasks/reasoning/)

## Compare models

- [Blip2 Opt 2.7B vs Phi Tiny MoE Instruct](/en/compare/blip2-opt-2-7b-vs-phi-tiny-moe-instruct/)
- [NVIDIA Cosmos Reason2 2B vs Phi 4 Mini Reasoning](/en/compare/cosmos-reason2-2b-vs-phi-4-mini-reasoning/)
- [Deepseek Coder 7B Instruct V1.5 vs Phi Tiny MoE Instruct](/en/compare/deepseek-coder-7b-instruct-v1-5-vs-phi-tiny-moe-instruct/)
- [DeepSeek OCR vs Phi Tiny MoE Instruct](/en/compare/deepseek-ocr-vs-phi-tiny-moe-instruct/)
- [DeepSeek R1 Distill Qwen 7B vs Phi 4 Mini Reasoning](/en/compare/deepseek-r1-distill-qwen-7b-vs-phi-4-mini-reasoning/)
- [Falcon H1 7B Instruct vs Phi 4 Mini Reasoning](/en/compare/falcon-h1-7b-instruct-vs-phi-4-mini-reasoning/)