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

About DeepSeek-V4.1-Flash-1017

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.

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Pricing

Starting Price:
Free
Free Version:
Free Version available.

Integrations

API:
Yes, DeepSeek-V4.1-Flash-1017 offers API access
See Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
More Reviews for DeepSeek-V4.1-Flash-1017 Write a Review

Company Information

DeepSeek
Founded: 2023
China
deepseek.com

Videos and Screen Captures

DeepSeek-V4.1-Flash-1017 Screenshot 1
DeepSeek-V4.1-Flash-1017 Screenshot 1 DeepSeek-V4.1-Flash-1017 Screenshot 2
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Product Details

Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
Training
Documentation
Support
Online

DeepSeek-V4.1-Flash-1017 Frequently Asked Questions

Q: What kinds of users and organization types does DeepSeek-V4.1-Flash-1017 work with?
DeepSeek-V4.1-Flash-1017 works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does DeepSeek-V4.1-Flash-1017 support in their product?
DeepSeek-V4.1-Flash-1017 supports these languages: English.
Q: What kind of support options does DeepSeek-V4.1-Flash-1017 offer?
DeepSeek-V4.1-Flash-1017 offers support via online.
Q: What other applications or services does DeepSeek-V4.1-Flash-1017 integrate with?
DeepSeek-V4.1-Flash-1017 integrates with: Vercel AI Gateway, Buda, Cheaper Inference, Cline, ClinePass, DeepSeek Harness, DeepSeek, DeepSeek-V4, Novita AI, Offloop, OpenClaw, OpenTag, Oxlo.ai, Reasonix, SnapVee Studio, Together AI, and ZooClaw.
Q: Does DeepSeek-V4.1-Flash-1017 have an API?
Yes, DeepSeek-V4.1-Flash-1017 has an API.
Q: What type of training does DeepSeek-V4.1-Flash-1017 provide?
DeepSeek-V4.1-Flash-1017 provides training in the form of documentation.
Q: How much does DeepSeek-V4.1-Flash-1017 cost?
Pricing for DeepSeek-V4.1-Flash-1017 starts at Free.

DeepSeek-V4.1-Flash-1017 Product Features

DeepSeek-V4.1-Flash-1017 Verified User Reviews

Write a Review
  • A DeepSeek-V4.1-Flash-1017 User
    Engineer
    Used the software for: Less than 6 months
    Frequency of Use: Daily
    User Role: User, Administrator, Deployment
    Company Size: 100 - 499
    Ease 5 out of 5 stars
    Features 5 out of 5 stars
    Pricing 5 out of 5 stars
    Probability You Would Recommend? 9 out of 10

    "Super fast and powerful open weight model"

    5 out of 5 stars Posted 2026-10-24

    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.

    Overall: Overall, DeepSeek-V4.1-Flash-1017 is a super real refinement rather than a small patch. It is faster, more efficient, better at coding and agents, and strong enough that I would happily use it as an everyday model for software development and automation.

    Read More...
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