Title: Qwen3 4B Instruct 2507 vs Qwen3 14B: Param%C3%A8tres, Licence %E2%80%94 LLM EU Canonical: https://llmeu.com/fr/compare/qwen3-4b-instruct-2507-vs-qwen3-14b/ Markdown mirror: https://llmeu.com/fr/compare/qwen3-4b-instruct-2507-vs-qwen3-14b.md Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json # Qwen3 4B Instruct 2507 vs Qwen3 14B 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 ### [Qwen3 4B Instruct 2507](/fr/models/qwen3-4b-instruct-2507/) #### Points forts - open weights are published on Hugging Face and can be downloaded without a vendor agreement - Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement - at 4B parameters it fits on a single accelerator - 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 4B parameters, the weights fit on a single modest accelerator #### T%C3%A2ches [Raisonnement](/fr/tasks/reasoning/), [Codage](/fr/tasks/coding/), [Support multilingue](/fr/tasks/multilingual-support/) ### [Qwen3 14B](/fr/models/qwen3-14b/) #### Points forts - open weights are published on Hugging Face and can be downloaded without a vendor agreement - Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement #### 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 14.8B parameters, self-hosting needs a single accelerator with enough memory for the weights #### T%C3%A2ches [Raisonnement](/fr/tasks/reasoning/), [Support multilingue](/fr/tasks/multilingual-support/) **T%C3%A2ches:** [Raisonnement](/fr/tasks/reasoning/), [Support multilingue](/fr/tasks/multilingual-support/) ## Comparer des mod%C3%A8les - [Aya 23 8B vs Qwen3 14B](/fr/compare/aya-23-8b-vs-qwen3-14b/) - [Aya Expanse 8B vs Qwen3 14B](/fr/compare/aya-expanse-8b-vs-qwen3-14b/) - [Bloom 3B vs Qwen3 4B Instruct 2507](/fr/compare/bloom-3b-vs-qwen3-4b-instruct-2507/) - [NVIDIA Cosmos Reason2 2B vs Qwen3 4B Instruct 2507](/fr/compare/cosmos-reason2-2b-vs-qwen3-4b-instruct-2507/) - [Deepseek Coder 7B Instruct V1.5 vs Qwen3 4B Instruct 2507](/fr/compare/deepseek-coder-7b-instruct-v1-5-vs-qwen3-4b-instruct-2507/) - [DeepSeek R1 0528 Qwen3 8B vs Qwen3 14B](/fr/compare/deepseek-r1-0528-qwen3-8b-vs-qwen3-14b/)