Title: Phi Tiny MoE Instruct vs Phi-4-multimodal-instruct %E2%80%94 LLM EU
Canonical: https://llmeu.com/fr/compare/phi-tiny-moe-instruct-vs-phi-4-multimodal-instruct/
Markdown mirror: https://llmeu.com/fr/compare/phi-tiny-moe-instruct-vs-phi-4-multimodal-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 Tiny MoE Instruct vs Phi-4-multimodal-instruct

Placez deux %C3%A0 quatre mod%C3%A8les c%C3%B4te %C3%A0 c%C3%B4te sur les champs qui d%C3%A9cident un d%C3%A9ploiement : contexte, prix, r%C3%A9gion, licence, langues, h%C3%A9bergement et ce qui est v%C3%A9rifi%C3%A9.

Lorsque deux mod%C3%A8les diff%C3%A8rent, ce tableau montre la diff%C3%A9rence et s'arr%C3%AAte l%C3%A0. LLM EU ne publie aucun badge de gagnant sans score document%C3%A9 pour cette t%C3%A2che, et une valeur manquante reste manquante au lieu de devenir un z%C3%A9ro.

## Quand l'utiliser

### [Phi Tiny MoE Instruct](/fr/models/phi-tiny-moe-instruct/)

#### Points forts

- 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

#### Limites

- 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

#### T%C3%A2ches

[Raisonnement](/fr/tasks/reasoning/), [Faible co%C3%BBt](/fr/tasks/cheap/)

### [Phi-4-multimodal-instruct](/fr/models/phi-4-multimodal-instruct/)

#### Points forts

- text, image and speech input at 5.6B parameters
- 128K-token context for document batches
- MIT licence
- 23 declared languages including most large EU languages

#### Limites

- modality-specific quality is below dedicated single-modality models
- English-centric training data
- no evaluation has been run by LLM EU

#### T%C3%A2ches

[Vision](/fr/tasks/vision/), [R%C3%A9sum%C3%A9s](/fr/tasks/summarization/), [Support multilingue](/fr/tasks/multilingual-support/), [Faible co%C3%BBt](/fr/tasks/cheap/)

**T%C3%A2ches:** [Faible co%C3%BBt](/fr/tasks/cheap/)

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- [Blip2 Flan T5 Xl vs Phi-4-multimodal-instruct](/fr/compare/blip2-flan-t5-xl-vs-phi-4-multimodal-instruct/)
- [Blip2 Opt 2.7B vs Phi Tiny MoE Instruct](/fr/compare/blip2-opt-2-7b-vs-phi-tiny-moe-instruct/)
- [Bloom 3B vs Phi-4-multimodal-instruct](/fr/compare/bloom-3b-vs-phi-4-multimodal-instruct/)
- [NVIDIA Cosmos 3 Edge vs Phi-4-multimodal-instruct](/fr/compare/cosmos-3-edge-vs-phi-4-multimodal-instruct/)