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Long Story Video Skill
Turn one idea into a 10s–10min story, with the model writing the script, the prompts and the footage itself.

Ads Video Skill
Produce ads and sales videos from a single brief, with scripts and prompts handled by the model.
3D Science Explainer Video Skill
Turn a science concept into a 3D explainer animation refined through self-feedback.
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deepseek 4.1 flash 1017
DeepSeek 4.1 Flash 1017 pairs faster output with lower cost, turning plain prompts into games and 3D scenes. Available now on web, app and API.
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What DeepSeek 4.1 Flash 1017 Brings to Builders
Benchmark results move up, jobs finish sooner and replies come back shorter — the release targets full project builds rather than one-off edits, and trims spend while it does.
- Better Scores, Lower SpendQuality and cost climb together instead of trading off: benchmark numbers rise, tasks complete in less time and each answer arrives more compact.
- End-to-End Project BuildsSelf-feedback reinforcement learning keeps the model on task through a whole build — a racing game, a palace model or a 3D timeline of the ages — not just an isolated fragment.
- Weights You Can HostThe release is published openly on Hugging Face and ModelScope, so teams can download the weights and run the model on their own hardware.
Three Ways Into DeepSeek 4.1 Flash 1017
Start on a hosted surface, update your Harness build, or wire up the Search and Fetch endpoints — pick the path that fits your stack.
DeepSeek 4.1 Flash 1017 Capabilities: Search, Fetch, Vision
Live web access, image understanding and pay-per-success pricing — here is what the model can actually reach and read.
Built-In Search API
One query returns structured page results from DeepSeek's own crawler and engine, a system handling hundreds of millions of calls every day worldwide.
Fetch Returns Markdown
Fetch retrieves a single page and converts it to Markdown, handing agents and RAG pipelines clean, live web text to work with.
Image Understanding
The deepseek-flash model reads pictures alongside text — captioning photos, lifting wording from screenshots or interpreting charts in JPEG, PNG, GIF and WebP.
Three Ways to Send Images
Pass images as base64 data URLs, public http(s) links or Files API file_ids; inline payloads share a 48 MiB body limit, while uploaded files may reach 64 MiB.
Pay Only for Success
Each 1,000 calls run $0.75 and are billed only when a request returns something — failed calls, empty searches and timeouts cost nothing.
Tooling Integrations
The model is tuned for DeepSeek Harness, Tencent CodeBuddy and WorkBuddy, and server-side Search and Fetch remain free for API users until billing starts.
Frequently Asked Questions About DeepSeek 4.1 Flash 1017
Answers on the release, its API endpoints, its pricing model and the open weights.
What exactly is DeepSeek-V4.1-Flash-1017?
The newest Flash model from DeepSeek. It posts higher benchmark scores, completes work faster and returns tighter answers, and it is already handling traffic across web, app and API.
How does it differ from the earlier release?
It lifts quality and lowers cost at the same time. Scores improve while jobs finish quicker and outputs get shorter, so teams do not have to pick one gain over the other.
Which tools already support it?
DeepSeek Harness v0.2.1-rc.1 or newer, Tencent CodeBuddy, WorkBuddy and other optimised integrations are ready to use with the model today.
Do Search and Fetch cost anything?
Server-side Search and Fetch calls inside Harness, Claude Code and Codex stay free for DeepSeek API users for now. Metering begins on 31 October 2026 at 16:00 UTC.
Where are the open weights published?
Both Hugging Face and ModelScope host them, listed under the DeepSeek-V4.1-Flash-1017 repository name.
Which image formats can the vision model read?
JPEG, PNG, GIF and WebP all work. The model checks the file bytes themselves, so a wrong extension or a mismatched MIME type will not break the request.
Start Building With DeepSeek 4.1 Flash 1017
Head to the web app, mobile app or API to put the model to work, update DeepSeek Harness to v0.2.1-rc.1 or later, and grab the open weights from Hugging Face or ModelScope.
