Deepseek V4.1 Flash 1017 TL5
DeepSeek V4.1 Flash 1017 is DeepSeek's open-weight vision-language Mixture-of-Experts model for complex reasoning, software engineering, and multimodal agent workflows. It retains 552B backbone parameters, with 8B active during input processing and 16B during text generation, plus a 1M-token context window. The model accepts text and images, generates text, and supports tool calling for multi-step tasks. Its October 2026 update improves end-to-end project development, including web applications, games, and code-driven 3D scenes, using reinforcement learning with self-feedback. DeepSeek reports a Terminal-Bench 4.0 improvement from 31.2 to 42.3, alongside faster task completion and shorter outputs. The model weights are released under the MIT license.
Deepseek V4.1 Flash 1017 TL5
DeepSeek V4.1 Flash 1017 is DeepSeek's open-weight vision-language Mixture-of-Experts model for complex reasoning, software engineering, and multimodal agent workflows. It retains 552B backbone parameters, with 8B active during input processing and 16B during text generation, plus a 1M-token context window. The model accepts text and images, generates text, and supports tool calling for multi-step tasks. Its October 2026 update improves end-to-end project development, including web applications, games, and code-driven 3D scenes, using reinforcement learning with self-feedback. DeepSeek reports a Terminal-Bench 4.0 improvement from 31.2 to 42.3, alongside faster task completion and shorter outputs. The model weights are released under the MIT license.
