# AI cinesi vs occidentali nel 2026: DeepSeek, Qwen, Kimi, GLM > Cosa offrono i modelli cinesi open-weight rispetto a GPT, Claude e Mistral. Qualità, prezzo, residency, rischi GDPR e censura politica. URL: https://www.morfex.it/ai/best/migliori-ai-cinesi-vs-occidentali/ Sintesi Leggi il verdetto Le AI cinesi (DeepSeek, Qwen, Kimi K2, GLM) sono open-weight, costano 20-50x meno dei frontier US e su reasoning/coding sono vicine a Claude e GPT. Ma l'API ufficiale instrada i dati in Cina sotto PRC Data Security Law: per dati UE è ammesso solo il self-host dei pesi. Classifica [Top pick ![](data:image/svg+xml,%3c?xml%20version='1.0'%20encoding='iso-8859-1'?%3e%3c!--%20Generator:%20Adobe%20Illustrator%2025.2.3,%20SVG%20Export%20Plug-In%20.%20SVG%20Version:%206.00%20Build%200\)%20--%3e%3csvg%20version='1.1'%20baseProfile='basic'%20xmlns='http://www.w3.org/2000/svg'%20xmlns:xlink='http://www.w3.org/1999/xlink'%20x='0px'%20y='0px'%20viewBox='0%200%2048%2048'%20xml:space='preserve'%3e%3cpath%20style='fill:%23536DFE;'%20d='M47.496,10.074c-0.508-0.249-0.727,0.226-1.025,0.467c-0.102,0.078-0.188,0.179-0.274,0.272%20c-0.743,0.794-1.611,1.315-2.746,1.253c-1.658-0.093-3.074,0.428-4.326,1.696c-0.266-1.564-1.15-2.498-2.495-3.097%20c-0.704-0.311-1.416-0.623-1.909-1.3c-0.344-0.482-0.438-1.019-0.61-1.548c-0.11-0.319-0.219-0.646-0.587-0.7%20c-0.399-0.062-0.555,0.272-0.712,0.553c-0.626,1.144-0.868,2.405-0.845,3.681c0.055,2.871,1.267,5.159,3.676,6.785%20c0.274,0.187,0.344,0.373,0.258,0.646c-0.164,0.56-0.36,1.105-0.532,1.665c-0.11,0.358-0.274,0.436-0.657,0.28%20c-1.322-0.552-2.464-1.369-3.473-2.358c-1.713-1.657-3.262-3.486-5.194-4.918c-0.454-0.335-0.907-0.646-1.377-0.942%20c-1.971-1.914,0.258-3.486,0.774-3.673c0.54-0.195,0.188-0.864-1.557-0.856c-1.744,0.008-3.34,0.591-5.374,1.369%20c-0.297,0.117-0.61,0.202-0.931,0.272c-1.846-0.35-3.763-0.428-5.765-0.202c-3.77,0.42-6.782,2.202-8.996,5.245%20c-2.66,3.657-3.285,7.812-2.519,12.147c0.806,4.568,3.137,8.349,6.719,11.306c3.716,3.066,7.994,4.568,12.876,4.28%20c2.965-0.171,6.266-0.568,9.989-3.719c0.939,0.467,1.924,0.654,3.559,0.794c1.259,0.117,2.472-0.062,3.411-0.257%20c1.471-0.311,1.369-1.673,0.837-1.922C34,36,33.471,35.441,33.471,35.441c2.19-2.591,5.491-5.284,6.782-14.007%20c0.102-0.692,0.016-1.128,0-1.689c-0.008-0.342,0.07-0.475,0.462-0.514c1.079-0.125,2.128-0.42,3.09-0.949%20c2.793-1.525,3.919-4.031,4.185-7.034C48.028,10.79,47.981,10.315,47.496,10.074z%20M23.161,37.107%20c-4.177-3.284-6.203-4.365-7.04-4.319c-0.782,0.047-0.641,0.942-0.469,1.525c0.18,0.576,0.415,0.973,0.743,1.478%20c0.227,0.335,0.383,0.833-0.227,1.206c-1.345,0.833-3.684-0.28-3.794-0.335c-2.722-1.603-4.998-3.72-6.602-6.614%20c-1.549-2.786-2.448-5.774-2.597-8.964c-0.039-0.77,0.188-1.043,0.954-1.183c1.009-0.187,2.049-0.226,3.059-0.078%20c4.263,0.623,7.893,2.529,10.936,5.548c1.737,1.72,3.051,3.774,4.404,5.782c1.439,2.132,2.988,4.163,4.959,5.828%20c0.696,0.584,1.252,1.027,1.783,1.354C27.667,38.515,24.991,38.554,23.161,37.107L23.161,37.107z%20M25.164,24.228%20c0-0.342,0.274-0.615,0.618-0.615c0.078,0,0.149,0.015,0.211,0.039c0.086,0.031,0.164,0.078,0.227,0.148%20c0.11,0.109,0.172,0.265,0.172,0.428c0,0.342-0.274,0.615-0.618,0.615S25.164,24.571,25.164,24.228L25.164,24.228z%20M31.382,27.419%20c-0.399,0.163-0.798,0.303-1.181,0.319c-0.595,0.031-1.244-0.21-1.596-0.506c-0.548-0.459-0.939-0.716-1.103-1.517%20c-0.07-0.342-0.031-0.872,0.031-1.175c0.141-0.654-0.016-1.074-0.477-1.455c-0.376-0.311-0.853-0.397-1.377-0.397%20c-0.196,0-0.375-0.086-0.508-0.156c-0.219-0.109-0.399-0.381-0.227-0.716c0.055-0.109,0.321-0.373,0.383-0.42%20c0.712-0.405,1.533-0.272,2.292,0.031c0.704,0.288,1.236,0.817,2.003,1.564c0.782,0.903,0.923,1.152,1.369,1.829%20c0.352,0.529,0.673,1.074,0.892,1.696C32.016,26.905,31.844,27.224,31.382,27.419L31.382,27.419z'/%3e%3c/svg%3e) DeepSeek DeepSeek AI (Hangzhou DeepSeek Artificial Intelligence Co., Ltd.) Modello open-weight (licenza MIT) più discusso del 2025-2026 su r/LocalLLaMA: rapporto qualità/prezzo imbattibile e reasoning di prima fascia, ma l'uso via API ufficiale comporta trasferimento dati in Cina sotto PRC Data Security Law e Article 35 della Cybersecurity Law. Self-hosting consigliato per qualsiasi dato sensibile UE. - Punto di forza Pesi aperti MIT: si scarica da HuggingFace e gira on-premise o su provider UE, azzerando il rischio di residency - Limite API ufficiale DeepSeek instrada i dati su server in Cina: incompatibile con GDPR senza valutazione di trasferimento (art. 44-49 GDPR) e soggetta alla PRC Data Security Law 2021 + Article 35 Cybersecurity Law che obbliga la disclosure alle autorità cinesi - Sceglilo se Ricerca accademica e prototipi non sensibili dove il costo API è il vincolo principale ](/ai/tools/deepseek/) [2° posto Qwen Alibaba Cloud (Tongyi Qianwen) - Pesi Apache 2.0 da 0.5B a 235B MoE: la gamma open-weight più ampia sul mercato, scaricabile da HuggingFace - Multilingua reale su 29 lingue inclusi italiano, francese e tedesco: meglio di Llama 3 su istruzioni in italiano - API Alibaba Cloud (DashScope/ModelStudio) instrada i prompt in Cina: incompatibile con GDPR senza SCC e valutazione di trasferimento; soggetta a PRC Data Security Law 2021 e Article 35 della Cybersecurity Law ](/ai/tools/qwen/)[3° posto Kimi K2 Moonshot AI (Beijing Yuezhi Anmian Technology) - Pesi aperti (licenza Modified MIT con clausola attribution) su HuggingFace: self-hosting possibile su cluster GPU UE - Architettura MoE 1T/32B-active: qualità agentic vicina a Claude Sonnet su SWE-bench e Tau-Bench secondo Artificial Analysis - API Moonshot (moonshot.cn / kimi.com) instrada i dati in Cina: incompatibile con GDPR senza SCC; soggetta a PRC Data Security Law 2021 e Article 35 della Cybersecurity Law che obbliga la disclosure alle autorità ](/ai/tools/kimi-k2/) [#4 GLM Pesi MIT su HuggingFace: self-hosting libero in UE senza vincoli di licenza commerciale ](/ai/tools/glm/)[#5 ![](/_astro/claude.BbQ028DO.svg) Claude Opus 4.8 leader sull'Intelligence Index di Artificial Analysis (61) e su computer-use/agenti browser (84% Online-Mind2Web), unico a completare tutti i casi del Super-Agent benchmark 4.6/5](/ai/tools/claude/) [#6 ![](data:image/svg+xml,%3c?xml%20version='1.0'%20encoding='iso-8859-1'?%3e%3c!--%20Generator:%20Adobe%20Illustrator%2026.1.0,%20SVG%20Export%20Plug-In%20.%20SVG%20Version:%206.00%20Build%200\)%20--%3e%3csvg%20version='1.1'%20id='Tone'%20xmlns='http://www.w3.org/2000/svg'%20xmlns:xlink='http://www.w3.org/1999/xlink'%20x='0px'%20y='0px'%20viewBox='0%200%2050%2050'%20style='enable-background:new%200%200%2050%2050;'%20xml:space='preserve'%3e%3cg%20id='Line'%3e%3c/g%3e%3cpath%20d='M45.403,25.562c-0.506-1.89-1.518-3.553-2.906-4.862c1.134-2.665,0.963-5.724-0.487-8.237%20c-1.391-2.408-3.636-4.131-6.322-4.851c-1.891-0.506-3.839-0.462-5.669,0.088C28.276,5.382,25.562,4,22.647,4%20c-4.906,0-9.021,3.416-10.116,7.991c-0.01,0.001-0.019-0.003-0.029-0.002c-2.902,0.36-5.404,2.019-6.865,4.549%20c-1.391,2.408-1.76,5.214-1.04,7.9c0.507,1.891,1.519,3.556,2.909,4.865c-1.134,2.666-0.97,5.714,0.484,8.234%20c1.391,2.408,3.636,4.131,6.322,4.851c0.896,0.24,1.807,0.359,2.711,0.359c1.003,0,1.995-0.161,2.957-0.45%20C21.722,44.619,24.425,46,27.353,46c4.911,0,9.028-3.422,10.12-8.003c2.88-0.35,5.431-2.006,6.891-4.535%20C45.754,31.054,46.123,28.248,45.403,25.562z%20M35.17,9.543c2.171,0.581,3.984,1.974,5.107,3.919c1.049,1.817,1.243,4,0.569,5.967%20c-0.099-0.062-0.193-0.131-0.294-0.19l-9.169-5.294c-0.312-0.179-0.698-0.177-1.01,0.006l-10.198,6.041l-0.052-4.607l8.663-5.001%20C30.733,9.26,33,8.963,35.17,9.543z%20M29.737,22.195l0.062,5.504l-4.736,2.805l-4.799-2.699l-0.062-5.504l4.736-2.805L29.737,22.195z%20M14.235,14.412C14.235,9.773,18.009,6,22.647,6c2.109,0,4.092,0.916,5.458,2.488C28,8.544,27.891,8.591,27.787,8.651l-9.17,5.294%20c-0.312,0.181-0.504,0.517-0.5,0.877l0.133,11.851l-4.015-2.258V14.412z%20M6.528,23.921c-0.581-2.17-0.282-4.438,0.841-6.383%20c1.06-1.836,2.823-3.074,4.884-3.474c-0.004,0.116-0.018,0.23-0.018,0.348V25c0,0.361,0.195,0.694,0.51,0.872l10.329,5.81%20L19.11,34.03l-8.662-5.002C8.502,27.905,7.11,26.092,6.528,23.921z%20M14.83,40.457c-2.171-0.581-3.984-1.974-5.107-3.919%20c-1.053-1.824-1.249-4.001-0.573-5.97c0.101,0.063,0.196,0.133,0.299,0.193l9.169,5.294c0.154,0.089,0.327,0.134,0.5,0.134%20c0.177,0,0.353-0.047,0.51-0.14l10.198-6.041l0.052,4.607l-8.663,5.001C19.269,40.741,17.001,41.04,14.83,40.457z%20M35.765,35.588%20c0,4.639-3.773,8.412-8.412,8.412c-2.119,0-4.094-0.919-5.459-2.494c0.105-0.056,0.216-0.098,0.32-0.158l9.17-5.294%20c0.312-0.181,0.504-0.517,0.5-0.877L31.75,23.327l4.015,2.258V35.588z%20M42.631,32.462c-1.056,1.83-2.84,3.086-4.884,3.483%20c0.004-0.12,0.018-0.237,0.018-0.357V25c0-0.361-0.195-0.694-0.51-0.872l-10.329-5.81l3.964-2.348l8.662,5.002%20c1.946,1.123,3.338,2.937,3.92,5.107C44.053,28.249,43.754,30.517,42.631,32.462z'/%3e%3c/svg%3e) ChatGPT Ecosistema più ricco: Custom GPTs, Code Interpreter, Canvas, voice mode avanzato — nessun competitor li replica tutti 4.7/5](/ai/tools/chatgpt/) [#7 ![](/_astro/mistral.CFPMBmCs.svg) Mistral Vendor europeo con data residency UE garantita: leva decisiva per PA italiana, banche, sanità 4.3/5](/ai/tools/mistral/) Chi vince su cosa [ Migliore qualità Claude Intelligence Index 83 ](/ai/tools/claude/)[ Più economico DeepSeek €0.25/1M input ](/ai/tools/deepseek/)[ Context più ampio Claude 1000k token ](/ai/tools/claude/)[ Residency UE ChatGPT Data residency UE garantita ](/ai/tools/chatgpt/) Performance ## Confronto multidimensionale DeepSeek Qwen Kimi K2 GLM Claude ChatGPT Mistral Score editoriali Morfex + dati Artificial Analysis. Latenza e prezzo invertiti (valori bassi = punteggio alto). Dati tecnici ## Specifiche a confronto Caratteristica DeepSeek Qwen Kimi K2 GLM Claude ChatGPT Mistral Vendor DeepSeek AI (Hangzhou DeepSeek Artificial Intelligence Co., Ltd.) Alibaba Cloud (Tongyi Qianwen) Moonshot AI (Beijing Yuezhi Anmian Technology) Zhipu AI (Beijing Zhipu Huazhang Technology) Anthropic OpenAI Mistral AI Modelli / piano DeepSeek V3.2-Exp, DeepSeek R1 Qwen3-Max, Qwen3-235B-A22B, Qwen3-Coder Kimi K2, Kimi K2-Instruct GLM-4.6, GLM-4.5-Air Opus 4.8, Opus 4.7, Sonnet 4.6, Haiku 4.5 GPT-5.5, GPT-5.3 Codex Mistral Large 3, Codestral Context window 128.000 262.144 200.000 200.000 1.000.000 922.000 256.000 Input / 1M token $0.25 $1.40 $0.55 $0.55 $5.00 $5.00 $0.50 Output / 1M token $1.02 $5.60 $2.30 $2.05 $25.00 $30.00 $1.50 Rating utenti — — — — [**4.6/5** 283 G2](https://www.g2.com/products/anthropic-claude/reviews) [**4.7/5** 2293 G2](https://www.g2.com/products/chatgpt/reviews) [**4.3/5** 13 G2](https://www.g2.com/products/mistral-ai/reviews) Free tier ✓ ✓ ✓ ✓ ✓ ✓ ✓ GDPR — — — — ✓ ✓ ✓ Data residency UE — — — — — ✓ ✓ Enterprise ✓ ✓ ✓ ✓ ✓ ✓ ✓ Certificazioni — — — — SOC2, ISO27001 SOC2, ISO27001 SOC2 Confrontare le migliori AI cinesi vs occidentali nel 2026 significa mettere su due piatti diversi della stessa bilancia: da una parte DeepSeek, Qwen, Kimi K2 e GLM, open-weight e con un pricing 10-50 volte più basso; dall’altra Claude, ChatGPT e Mistral, più forti su reasoning e con una postura GDPR difendibile. I laboratori cinesi (DeepSeek, Alibaba, Moonshot, Zhipu) hanno colmato gran parte del gap su prezzo e coding. Il costo da pagare è regolatorio: l’API ufficiale di ogni vendor cinese instrada i prompt in Cina sotto la PRC Data Security Law. Per workload UE l’unica via pulita resta il self-hosting dei pesi. ## Criteri di valutazione Per una PMI italiana tre dimensioni contano più della pura classifica di benchmark: dove finiscono fisicamente i dati, quanto costa il task a regime e quale qualità serve davvero. Su tutte le schede cinesi che abbiamo verificato (DeepSeek, Qwen, Kimi K2, GLM) il campo `euDataResidency` è `false` e la lista certificazioni è vuota: niente SOC2, niente ISO27001. I tre occidentali del confronto partono invece con GDPR coperto e certificazioni native — Claude e ChatGPT con [SOC2 e ISO27001](https://www.g2.com/products/chatgpt/reviews), Mistral con SOC2 e residency UE garantita. ## Migliori AI cinesi vs occidentali: prezzi a confronto Sul prezzo il divario è netto e misurabile. [DeepSeek V3.2-Exp](https://api-docs.deepseek.com/quick_start/pricing) costa circa 0,25 € input / 1,02 € output per 1M token, [GLM 4.6](https://docs.z.ai/guides/overview/pricing) circa 0,55 € / 2,05 €, [Kimi K2](https://platform.moonshot.ai/docs/pricing) circa 0,55 € / 2,30 €, [Qwen via Alibaba Cloud Model Studio](https://www.alibabacloud.com/help/en/model-studio/billing-for-model-studio) 1,4 € / 5,6 €. Sul fronte occidentale [Claude Opus 4.8](https://www.anthropic.com/pricing) si colloca a 5 € / 25 € e [GPT-5.5](https://openai.com/api/pricing/) a 5 $ / 30 $ per 1M token. [Mistral Large 3](https://mistral.ai/technology/#pricing) è l’eccezione europea: 0,50 € / 1,50 €, in linea con i cinesi pur con residency UE. Su volumi sopra i 100M token/mese il delta diventa materiale, ma va pesato contro il rischio di trasferimento extra-UE. ## Qualità e benchmark Sull’Intelligence Index di Artificial Analysis i frontier occidentali restano davanti: [Claude](https://artificialanalysis.ai/models/claude-opus-4-8) e [ChatGPT](https://artificialanalysis.ai/models/gpt-5) hanno quality score 80 e 82 nelle nostre schede, [Mistral](https://artificialanalysis.ai/models/mistral-large-2) si ferma a 68. I cinesi seguono a distanza ravvicinata: [Qwen](https://artificialanalysis.ai/models/qwen3-235b-a22b) 63, [DeepSeek](https://artificialanalysis.ai/models/deepseek-v3) 60, [Kimi K2](https://artificialanalysis.ai/models/kimi-k2) 58, [GLM 4.6](https://artificialanalysis.ai/models/glm-4-6) 56. Il gap su reasoning generalista esiste, ma su coding e tool-use si assottiglia: Qwen3-Coder è competitivo con Claude Sonnet su SWE-bench, Kimi K2 (architettura MoE 1T/32B attivi) è forte su task agentic. Per il quadro coding completo abbiamo dedicato un’analisi alla [classifica degli LLM per coding aziendale](/ai/best/migliori-llm-per-coding/). ### Quando i cinesi hanno senso Su task batch non sensibili in self-hosting (classificazione, estrazione, traduzione di documenti pubblici) i pesi DeepSeek (MIT), Qwen (Apache 2.0), Kimi K2 (Modified MIT) e GLM (MIT) sono scaricabili da HuggingFace e girano su provider UE. Il limite pratico: Kimi K2 a 1T parametri richiede circa 8x H100 anche in quantizzazione INT4, fuori scala per la maggior parte delle PMI. Per chi vuole open-weight senza gestire GPU, le [alternative open-source ai modelli mainstream](/ai/alternatives/alternative-open-source-ai-mainstream/) coprono lo stesso terreno con un occhio alla sostenibilità operativa. ## Casi d'uso pratici 1. [ Ricerca accademica e prototipi non sensibili ![](data:image/svg+xml,%3c?xml%20version='1.0'%20encoding='iso-8859-1'?%3e%3c!--%20Generator:%20Adobe%20Illustrator%2025.2.3,%20SVG%20Export%20Plug-In%20.%20SVG%20Version:%206.00%20Build%200\)%20--%3e%3csvg%20version='1.1'%20baseProfile='basic'%20xmlns='http://www.w3.org/2000/svg'%20xmlns:xlink='http://www.w3.org/1999/xlink'%20x='0px'%20y='0px'%20viewBox='0%200%2048%2048'%20xml:space='preserve'%3e%3cpath%20style='fill:%23536DFE;'%20d='M47.496,10.074c-0.508-0.249-0.727,0.226-1.025,0.467c-0.102,0.078-0.188,0.179-0.274,0.272%20c-0.743,0.794-1.611,1.315-2.746,1.253c-1.658-0.093-3.074,0.428-4.326,1.696c-0.266-1.564-1.15-2.498-2.495-3.097%20c-0.704-0.311-1.416-0.623-1.909-1.3c-0.344-0.482-0.438-1.019-0.61-1.548c-0.11-0.319-0.219-0.646-0.587-0.7%20c-0.399-0.062-0.555,0.272-0.712,0.553c-0.626,1.144-0.868,2.405-0.845,3.681c0.055,2.871,1.267,5.159,3.676,6.785%20c0.274,0.187,0.344,0.373,0.258,0.646c-0.164,0.56-0.36,1.105-0.532,1.665c-0.11,0.358-0.274,0.436-0.657,0.28%20c-1.322-0.552-2.464-1.369-3.473-2.358c-1.713-1.657-3.262-3.486-5.194-4.918c-0.454-0.335-0.907-0.646-1.377-0.942%20c-1.971-1.914,0.258-3.486,0.774-3.673c0.54-0.195,0.188-0.864-1.557-0.856c-1.744,0.008-3.34,0.591-5.374,1.369%20c-0.297,0.117-0.61,0.202-0.931,0.272c-1.846-0.35-3.763-0.428-5.765-0.202c-3.77,0.42-6.782,2.202-8.996,5.245%20c-2.66,3.657-3.285,7.812-2.519,12.147c0.806,4.568,3.137,8.349,6.719,11.306c3.716,3.066,7.994,4.568,12.876,4.28%20c2.965-0.171,6.266-0.568,9.989-3.719c0.939,0.467,1.924,0.654,3.559,0.794c1.259,0.117,2.472-0.062,3.411-0.257%20c1.471-0.311,1.369-1.673,0.837-1.922C34,36,33.471,35.441,33.471,35.441c2.19-2.591,5.491-5.284,6.782-14.007%20c0.102-0.692,0.016-1.128,0-1.689c-0.008-0.342,0.07-0.475,0.462-0.514c1.079-0.125,2.128-0.42,3.09-0.949%20c2.793-1.525,3.919-4.031,4.185-7.034C48.028,10.79,47.981,10.315,47.496,10.074z%20M23.161,37.107%20c-4.177-3.284-6.203-4.365-7.04-4.319c-0.782,0.047-0.641,0.942-0.469,1.525c0.18,0.576,0.415,0.973,0.743,1.478%20c0.227,0.335,0.383,0.833-0.227,1.206c-1.345,0.833-3.684-0.28-3.794-0.335c-2.722-1.603-4.998-3.72-6.602-6.614%20c-1.549-2.786-2.448-5.774-2.597-8.964c-0.039-0.77,0.188-1.043,0.954-1.183c1.009-0.187,2.049-0.226,3.059-0.078%20c4.263,0.623,7.893,2.529,10.936,5.548c1.737,1.72,3.051,3.774,4.404,5.782c1.439,2.132,2.988,4.163,4.959,5.828%20c0.696,0.584,1.252,1.027,1.783,1.354C27.667,38.515,24.991,38.554,23.161,37.107L23.161,37.107z%20M25.164,24.228%20c0-0.342,0.274-0.615,0.618-0.615c0.078,0,0.149,0.015,0.211,0.039c0.086,0.031,0.164,0.078,0.227,0.148%20c0.11,0.109,0.172,0.265,0.172,0.428c0,0.342-0.274,0.615-0.618,0.615S25.164,24.571,25.164,24.228L25.164,24.228z%20M31.382,27.419%20c-0.399,0.163-0.798,0.303-1.181,0.319c-0.595,0.031-1.244-0.21-1.596-0.506c-0.548-0.459-0.939-0.716-1.103-1.517%20c-0.07-0.342-0.031-0.872,0.031-1.175c0.141-0.654-0.016-1.074-0.477-1.455c-0.376-0.311-0.853-0.397-1.377-0.397%20c-0.196,0-0.375-0.086-0.508-0.156c-0.219-0.109-0.399-0.381-0.227-0.716c0.055-0.109,0.321-0.373,0.383-0.42%20c0.712-0.405,1.533-0.272,2.292,0.031c0.704,0.288,1.236,0.817,2.003,1.564c0.782,0.903,0.923,1.152,1.369,1.829%20c0.352,0.529,0.673,1.074,0.892,1.696C32.016,26.905,31.844,27.224,31.382,27.419L31.382,27.419z'/%3e%3c/svg%3e) DeepSeek R1 Costo trascurabile, reasoning fascia o1 ](/ai/tools/deepseek/) 2. [ Coding open-source su repository non confidenziale Qwen3-Coder / DeepSeek-Coder Apache 2.0 / MIT, zero rate limit ](/ai/tools/qwen/) 3. [ PMI italiana con dati clienti ![](/_astro/claude.BbQ028DO.svg) Claude o Mistral I cinesi esclusi senza self-host con audit ](/ai/tools/claude/) 4. [ PA, sanità, finance regolamentato ![](/_astro/mistral.CFPMBmCs.svg) Mistral o Vertex AI europe-west8 Milano, cinesi esclusi a priori ](/ai/tools/mistral/) 5. [ Budget estremo + workload tecnico-scientifico ![](data:image/svg+xml,%3c?xml%20version='1.0'%20encoding='iso-8859-1'?%3e%3c!--%20Generator:%20Adobe%20Illustrator%2025.2.3,%20SVG%20Export%20Plug-In%20.%20SVG%20Version:%206.00%20Build%200\)%20--%3e%3csvg%20version='1.1'%20baseProfile='basic'%20xmlns='http://www.w3.org/2000/svg'%20xmlns:xlink='http://www.w3.org/1999/xlink'%20x='0px'%20y='0px'%20viewBox='0%200%2048%2048'%20xml:space='preserve'%3e%3cpath%20style='fill:%23536DFE;'%20d='M47.496,10.074c-0.508-0.249-0.727,0.226-1.025,0.467c-0.102,0.078-0.188,0.179-0.274,0.272%20c-0.743,0.794-1.611,1.315-2.746,1.253c-1.658-0.093-3.074,0.428-4.326,1.696c-0.266-1.564-1.15-2.498-2.495-3.097%20c-0.704-0.311-1.416-0.623-1.909-1.3c-0.344-0.482-0.438-1.019-0.61-1.548c-0.11-0.319-0.219-0.646-0.587-0.7%20c-0.399-0.062-0.555,0.272-0.712,0.553c-0.626,1.144-0.868,2.405-0.845,3.681c0.055,2.871,1.267,5.159,3.676,6.785%20c0.274,0.187,0.344,0.373,0.258,0.646c-0.164,0.56-0.36,1.105-0.532,1.665c-0.11,0.358-0.274,0.436-0.657,0.28%20c-1.322-0.552-2.464-1.369-3.473-2.358c-1.713-1.657-3.262-3.486-5.194-4.918c-0.454-0.335-0.907-0.646-1.377-0.942%20c-1.971-1.914,0.258-3.486,0.774-3.673c0.54-0.195,0.188-0.864-1.557-0.856c-1.744,0.008-3.34,0.591-5.374,1.369%20c-0.297,0.117-0.61,0.202-0.931,0.272c-1.846-0.35-3.763-0.428-5.765-0.202c-3.77,0.42-6.782,2.202-8.996,5.245%20c-2.66,3.657-3.285,7.812-2.519,12.147c0.806,4.568,3.137,8.349,6.719,11.306c3.716,3.066,7.994,4.568,12.876,4.28%20c2.965-0.171,6.266-0.568,9.989-3.719c0.939,0.467,1.924,0.654,3.559,0.794c1.259,0.117,2.472-0.062,3.411-0.257%20c1.471-0.311,1.369-1.673,0.837-1.922C34,36,33.471,35.441,33.471,35.441c2.19-2.591,5.491-5.284,6.782-14.007%20c0.102-0.692,0.016-1.128,0-1.689c-0.008-0.342,0.07-0.475,0.462-0.514c1.079-0.125,2.128-0.42,3.09-0.949%20c2.793-1.525,3.919-4.031,4.185-7.034C48.028,10.79,47.981,10.315,47.496,10.074z%20M23.161,37.107%20c-4.177-3.284-6.203-4.365-7.04-4.319c-0.782,0.047-0.641,0.942-0.469,1.525c0.18,0.576,0.415,0.973,0.743,1.478%20c0.227,0.335,0.383,0.833-0.227,1.206c-1.345,0.833-3.684-0.28-3.794-0.335c-2.722-1.603-4.998-3.72-6.602-6.614%20c-1.549-2.786-2.448-5.774-2.597-8.964c-0.039-0.77,0.188-1.043,0.954-1.183c1.009-0.187,2.049-0.226,3.059-0.078%20c4.263,0.623,7.893,2.529,10.936,5.548c1.737,1.72,3.051,3.774,4.404,5.782c1.439,2.132,2.988,4.163,4.959,5.828%20c0.696,0.584,1.252,1.027,1.783,1.354C27.667,38.515,24.991,38.554,23.161,37.107L23.161,37.107z%20M25.164,24.228%20c0-0.342,0.274-0.615,0.618-0.615c0.078,0,0.149,0.015,0.211,0.039c0.086,0.031,0.164,0.078,0.227,0.148%20c0.11,0.109,0.172,0.265,0.172,0.428c0,0.342-0.274,0.615-0.618,0.615S25.164,24.571,25.164,24.228L25.164,24.228z%20M31.382,27.419%20c-0.399,0.163-0.798,0.303-1.181,0.319c-0.595,0.031-1.244-0.21-1.596-0.506c-0.548-0.459-0.939-0.716-1.103-1.517%20c-0.07-0.342-0.031-0.872,0.031-1.175c0.141-0.654-0.016-1.074-0.477-1.455c-0.376-0.311-0.853-0.397-1.377-0.397%20c-0.196,0-0.375-0.086-0.508-0.156c-0.219-0.109-0.399-0.381-0.227-0.716c0.055-0.109,0.321-0.373,0.383-0.42%20c0.712-0.405,1.533-0.272,2.292,0.031c0.704,0.288,1.236,0.817,2.003,1.564c0.782,0.903,0.923,1.152,1.369,1.829%20c0.352,0.529,0.673,1.074,0.892,1.696C32.016,26.905,31.844,27.224,31.382,27.419L31.382,27.419z'/%3e%3c/svg%3e) DeepSeek self-hostato Su Scaleway, RunPod EU, Hetzner GPU ](/ai/tools/deepseek/) 6. [ Agentic workflow open-source Kimi K2 o GLM 4.6 Self-host, tool use forte ](/ai/tools/kimi-k2/) 7. [ Multilingue con focus mandarino/asiatico Qwen3-Max Via Alibaba Cloud EU, dati non personali ](/ai/tools/qwen/) Esperienza Morfex ## La nostra valutazione Su clienti PMI italiane i modelli cinesi sono opzioni tecniche di seconda fascia: ottimi per task batch non sensibili in self-hosting (estrazione, classificazione, traduzione di documenti pubblici), esclusi per qualsiasi flusso con dati personali via API ufficiale. Per chi vuole “open-weight + serenità GDPR”, Mistral resta la scelta default. Per chi accetta self-host e ha team DevOps, DeepSeek e Qwen3-Coder sono imbattibili sul prezzo. Il modo pulito per testarli: prendere un dataset interno non sensibile (FAQ aziendali, documentazione tecnica pubblica), girare un benchmark su DeepSeek R1 self-hostato e confrontare con Claude/Mistral. Nove volte su dieci il delta qualità non giustifica il rischio normativo per i dati clienti, ma giustifica eccome i workload interni. Cosa vuoi fare? Chatbot / LLM Immagini Coding Voce Video Meeting / Note Writing Scraping Vector DB Che budget hai? Solo gratuito Budget contenuto Indifferente Hai vincoli GDPR o residency UE? Sì, data residency UE obbligatoria GDPR ok, residency flessibile Nessun vincolo ← Indietro Ricomincia ### Serve aiuto a scegliere per chatbot? Call gratuita di 30 minuti. Analizziamo il tuo caso e proponiamo lo stack AI più adatto a contesto, budget e vincoli GDPR. [Prenota la call](/contact/) ## Domande frequenti Posso usare DeepSeek o Qwen in azienda italiana? Quanto sono dietro a Claude e GPT come qualità? Quanto costano davvero rispetto ai frontier USA? C'è censura politica nei modelli? Qual è il rischio regolatorio in dettaglio? Mistral è davvero diverso dai cinesi come posture? Continua a esplorare ## Confronti correlati [Alternativa Alternative open-source ai modelli mainstream nel 2026 Mistral, Codestral, Stable Diffusion e Llama: alternative open-weight a GPT, Claude e Midjourney. Costi inference, sovranità dati e fine-tuning libero. ](/ai/alternatives/alternative-open-source-ai-mainstream/)[Best of Migliori AI con residency UE e GDPR nel 2026 Quali tool AI sono compatibili con GDPR, AgID e residency dati UE per PA, sanità e finance: Mistral, Google Vertex AI (regioni Milano/Torino), Synthesia EU. ](/ai/best/migliori-ai-residency-ue-gdpr/)[Best of Migliori LLM per coding nel 2026: classifica per casi d'uso aziendali Quali modelli AI usare per autocomplete, code review, refactor e generazione di test in contesto PMI italiane. ](/ai/best/migliori-llm-per-coding/) Dal blog Morfex ## Approfondisci sul blog - [LLM e AI generativa: cosa cambia, spiegato senza parole difficiliLLM e AI generativa non sono la stessa cosa. Guida semplice con esempi di uso in azienda, costi indicativi e tre domande per capire da dove partire.](/blog/llm-vs-ai-generativa/) - [Claude Opus 4.8: cosa cambia davvero per le aziende italianeClaude Opus 4.8 è il nuovo numero uno dell'Intelligence Index e il modello più forte su computer-use. Cosa cambia per le aziende italiane: prezzi, agenti e GDPR.](/blog/claude-opus-4-8-cosa-cambia-aziende-italiane/)