{"id":18023,"date":"2026-08-13T06:44:02","date_gmt":"2026-08-13T10:44:02","guid":{"rendered":"https:\/\/wp.glbgpt.com\/?p=18023"},"modified":"2026-08-13T06:44:04","modified_gmt":"2026-08-13T10:44:04","slug":"deepseek-v4-pro-review","status":"publish","type":"post","link":"https:\/\/wp.glbgpt.com\/fr\/hub\/deepseek-v4-pro-review","title":{"rendered":"Test du DeepSeek V4 Pro : ce qui a chang\u00e9, les tests de performances, les tarifs et comment l'essayer"},"content":{"rendered":"
\n
Updated August 13, 2026 •<\/span> Independent hands-on review<\/div>\n

R\u00e9ponse rapide :<\/strong> DeepSeek V4 is officially available as DeepSeek-V4-Pro-0813 and DeepSeek-V4-Flash-0731. Both list a 1M-token context window and 384K maximum output. Flash is the low-cost, high-concurrency choice; Pro costs more but was more reliable on our strictest multi-constraint task.<\/p>\n

\n Pro-0813<\/span>\n Flash-0731<\/span>\n Contexte 1M<\/span>\n 384K sortie max.<\/span>\n Thinking + non-thinking<\/span>\n <\/div>\n<\/section>\n\n\n\n

DeepSeek V4 Flash is the better default for most users.<\/strong> It matched Pro in our coding tests and 20.7K-token retrieval tests, while costing far less. Pro justified its higher price only on the hardest task: it scored 12\/12 on a strict launch memo where Flash scored 8\/12.<\/p>\n\n\n\n

That makes the choice straightforward. Start with Flash for routine coding, retrieval, extraction, and high-volume work. Pay for Pro when one arithmetic error, missed constraint, or malformed deliverable could cost more than the model.<\/p>\n\n\n\n

\n
\"\"<\/a><\/figure>\n\n\n\n
\n
Essayez plus de 100 mod\u00e8les phares sur GlobalGPT<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n