DeepSeek V4.1-Flash-1017: higher metrics, shorter answers, Search and Fetch API open to everyone
🐋 DeepSeek V4.1-Flash-1017: higher metrics, shorter answers, Search and Fetch API open to everyone DeepSeek has updated the Flash version V4.1. The model is stronger than the previous one, solves problems faster and produces shorter answers, that is, it is cheaper. Available on the website, in the application and via API, weights...
- 01.🐋 DeepSeek V4.1-Flash-1017: higher metrics, shorter answers, Search and Fetch API open to everyone DeepSeek has updated the Flash version V4.1
- 02.The model is stronger than the previous one, solves problems faster and produces shorter answers, that is, it is cheaper
- 03.Available on the website, in the application and via API, weights...
🐋 DeepSeek V4.1-Flash-1017: метрики выше, ответы короче, Search и Fetch API открыты всем DeepSeek обновили Flash-версию V4.1. Модель сильнее прошлой, быстрее решает задачи и выдаёт более короткие ответы, то есть выходит дешевле. Доступна на сайте, в приложении и по API, веса открыты. На DeepSWE v1.1 модель набирает 77.0 против 74.0 у Claude Opus 5 и 73.0 у GPT 5.6-Sol. На Automation-Bench 60.5 против 50.3 у Opus 5, на Agents' Last Exam 35.4 против 28.6. К прошлой Flash прирост большой: Terminal-Bench 4.0 вырос с 31.2 до 42.3, ProgramBench с 20.3 до 29.1. На HLE (56.3), Terminal-Bench 4.0 (51.8) и NL2Repo-Bench (75.3) Opus 5 всё ещё впереди. Цифры приведены самой компанией, а методики оценки у бенчмарков разные. Отдельно открыли Search и Fetch API на собственном поисковом движке: $0.75 за 1000 вызовов на каждый эндпоинт. Модель: https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 Документация API: https://api-docs.deepseek.com/guides/search @ai_machinelearning_big_data
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