Title: Phi 4 Reasoning vs Phi 3.5 MoE Instruct: Parametri %E2%80%94 LLM EU Canonical: https://llmeu.com/hr/compare/phi-4-reasoning-vs-phi-3-5-moe-instruct/ Markdown mirror: https://llmeu.com/hr/compare/phi-4-reasoning-vs-phi-3-5-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 Reasoning vs Phi 3.5 MoE Instruct Stavite dva do %C4%8Detiri modela jedan pored drugoga na poljima koja odlu%C4%8Duju o implementaciji: kontekst, cijena, regija, licenca, jezici, hosting i %C5%A1to je verificirano. Kada se dva modela razlikuju, ova tablica pokazuje razliku i tu staje. LLM EU ne objavljuje zna%C4%8Dku pobjednika bez dokumentiranog rezultata za taj zadatak, a brojka koja nedostaje ostaje nedostaju%C4%87a umjesto da postane nula. ## Kada ga koristiti ### [Phi 4 Reasoning](/hr/models/phi-4-reasoning/) #### Prednosti - 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 - the model page lists en - instruction-tuned checkpoint with a chat template in the repository #### Ograni%C4%8Denja - 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 14.7B parameters, self-hosting needs a single accelerator with enough memory for the weights #### Zadaci [Zaklju%C4%8Divanje](/hr/tasks/reasoning/), [Kodiranje](/hr/tasks/coding/) ### [Phi 3.5 MoE Instruct](/hr/models/phi-3-5-moe-instruct/) #### Prednosti - 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 - instruction-tuned checkpoint with a chat template in the repository #### Ograni%C4%8Denja - 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 41.9B parameters, self-hosting needs a high-memory accelerator #### Zadaci [Zaklju%C4%8Divanje](/hr/tasks/reasoning/), [Vi%C5%A1ejezi%C4%8Dna podr%C5%A1ka](/hr/tasks/multilingual-support/) **Zadaci:** [Zaklju%C4%8Divanje](/hr/tasks/reasoning/) ## Usporedi modele - [Command R (08-2024) vs Phi 3.5 MoE Instruct](/hr/compare/command-r-08-2024-vs-phi-3-5-moe-instruct/) - [DeepSeek Coder V2 Lite Instruct vs Phi 4 Reasoning](/hr/compare/deepseek-coder-v2-lite-instruct-vs-phi-4-reasoning/) - [DeepSeek R1 0528 Qwen3 8B vs Phi 4 Reasoning](/hr/compare/deepseek-r1-0528-qwen3-8b-vs-phi-4-reasoning/) - [DeepSeek R1 Distill Llama 8B vs Phi 4 Reasoning](/hr/compare/deepseek-r1-distill-llama-8b-vs-phi-4-reasoning/) - [DeepSeek R1 Distill Qwen 14B vs Phi 4 Reasoning](/hr/compare/deepseek-r1-distill-qwen-14b-vs-phi-4-reasoning/) - [DeepSeek-R1-Distill-Qwen-32B vs Phi 3.5 MoE Instruct](/hr/compare/deepseek-r1-distill-qwen-32b-vs-phi-3-5-moe-instruct/)