DeepSeek-V4.1-Flash-1017 vs. FlashGet Comparison


DeepSeek-V4.1-Flash-1017 DeepSeek	FlashGet FlashGet Network	+	+
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About DeepSeek-V4.1-Flash-1017 is an open-weight multimodal artificial intelligence model developed by DeepSeek for advanced reasoning, software engineering, visual understanding, and autonomous AI agent workflows. Released on October 17, 2026, it builds on DeepSeek-V4.1-Flash with improvements in coding performance, agentic task execution, and reasoning efficiency. The model supports text and image inputs, tool calling, configurable reasoning effort, and multistep problem-solving. Its one-million-token context window enables developers to process lengthy documents, extensive codebases, and complex sequences of instructions. DeepSeek-V4.1-Flash-1017 also supports end-to-end software development, including application generation, debugging, automated testing, and interactive project creation. The model is available through the DeepSeek API and downloadable weights under the MIT License, supporting both hosted and self-managed deployment.	About FlashGet can call anti-virus automatically to clean virus, spyware and adware after finishing download. FlashGet can use up the lowest system resources and will not influence your normal work or study. FlashGet supports HTTP,FTP,BT,MMS,RTSP and other protocols. It is seamless between protocols and there is no need to operate manually for download switch. The One Touch technique optimizes BT download and can automatically download target files after getting seeds information, hence no need to operate again. It supports unlimited categories. Each category is assigned a download saving directory. The powerful management feature. FlashGet can use up the lowest system resources and will not influence your normal work or study. Flashget can increase download speed from 6-10 times. It uses MHT (Multi-server Hyper-threading Transportation) technique and optimization arithmetic and it.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Not Supported Linux Not Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience AI developers, software engineers, machine learning researchers, data scientists, enterprise development teams, and organizations seeking open-weight multimodal models for autonomous agents, software development, long-context reasoning, visual analysis, and customizable AI applications	Audience Download Manager solution for individuals that supports HTTP, FTP, BT, eMule and other various protocols
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros What I notice most is how much better it is at actually finishing coding and agent tasks. It feels less meandering than the original V4.1 Flash and gets through multi-step work with fewer wasted tokens. The benchmark jump is pretty serious too. DeepSeek reports 77.0 on DeepSWE v1.1, 42.3 on Terminal-Bench 4.0, and 60.5 on Automation-Bench, all meaningfully higher than the previous V4.1 Flash release. I also like the project-building improvements. DeepSeek specifically trained this version with reinforcement learning and self-feedback for end-to-end development, including full web projects, games, and 3D work. Cons The main downside is infrastructure if you want to run the open weights yourself. The full model is huge, so most people are still going to be better off using the hosted API.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information DeepSeek Founded: 2023 China deepseek.com	Company Information FlashGet Network Hong Kong www.flashget.com/index_en.html
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Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Large Language Models Supported Multimodal Models Supported Open-Weight AI Models Supported	Categories Download Managers Supported

Integrations Buda Supported Cheaper Inference Supported Cline Supported ClinePass Supported DeepSeek Supported DeepSeek Harness Supported DeepSeek-V4 Supported Novita AI Supported Offloop Supported OpenClaw Supported OpenTag Supported Oxlo.ai Supported Reasonix Supported SnapVee Studio Supported Together AI Supported Vercel AI Gateway Supported ZooClaw Supported Show More Integrations View All 17 Integrations	Integrations Buda Not Supported Cheaper Inference Not Supported Cline Not Supported ClinePass Not Supported DeepSeek Not Supported DeepSeek Harness Not Supported DeepSeek-V4 Not Supported Novita AI Not Supported Offloop Not Supported OpenClaw Not Supported OpenTag Not Supported Oxlo.ai Not Supported Reasonix Not Supported SnapVee Studio Not Supported Together AI Not Supported Vercel AI Gateway Not Supported ZooClaw Not Supported Show More Integrations
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