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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
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Turn a science concept into a 3D explainer animation refined through self-feedback.
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deepseek 4.1 flash 1017
One sentence in, a finished game or 3D scene out. DeepSeek 4.1 Flash 1017 trims build costs and lifts benchmark scores. Live on web, app and API.
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What the 1017 Flash Release Delivers
This release moves quality and cost in the same direction at once: scores rise, runs finish earlier and replies get shorter, all tuned for whole-project builds rather than one-off edits.
- Quality and Cost Move TogetherBenchmarks climb while runs finish sooner and answers shrink — two gains arriving at the same time instead of the usual trade-off between them.
- One Sentence, One Full BuildSelf-feedback reinforcement learning carries DeepSeek 4.1 Flash 1017 through an entire build — a racing game, a palace model, a 3D timeline — not just an isolated snippet.
- Weights You Can Host YourselfThe release lands openly on Hugging Face and ModelScope, so your team can pull the weights and run them on its own infrastructure.
Three Ways to Put It to Work
Pick the path that fits your stack: a hosted surface, an upgraded Harness build, or direct calls to the Search and Fetch endpoints.
Search, Fetch and Vision Under One Roof
Live web access, image understanding and pay-per-success pricing — the parts that let DeepSeek 4.1 Flash 1017 reach current content and read pictures.
Search API, Built In-House
A query goes in and structured page results come out, served by DeepSeek's own crawler and engine, which absorbs hundreds of millions of calls a day worldwide.
Fetch Returns Clean Markdown
Fetch grabs a single page and converts it to Markdown, handing agents and RAG pipelines readable live web text to work from.
Vision Reads Your Images
The deepseek-flash model accepts pictures alongside text, so it can describe a photo, lift wording out of a screenshot or interpret a chart — JPEG, PNG, GIF and WebP all pass.
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 cap, while uploaded files may reach 64 MiB.
Pay Only for Successful Calls
Each 1,000 calls run $0.75, and charges apply only when a request actually returns something — failures, empty searches and timeouts cost nothing.
Tuned for Popular Coding Agents
DeepSeek Harness, Tencent CodeBuddy and WorkBuddy are all tuned for this model, and server-side Search and Fetch calls stay free for API users until billing begins.
DeepSeek 4.1 Flash 1017: Questions Answered
Straight answers on the release, its API pricing, the tools that support it and the open weights.
What exactly is DeepSeek 4.1 Flash 1017?
It is the newest Flash release from DeepSeek: higher benchmark scores, faster task completion and shorter replies, already live across the website, the app and the API.
How does it differ from the last version?
Quality and cost improve at the same time rather than one paying for the other — scores rise, runs complete sooner and outputs get shorter, which is the Pareto claim in practice.
Which tools already work with it?
DeepSeek Harness v0.2.1-rc.1 or newer, Tencent CodeBuddy, WorkBuddy and a set of optimized integrations are ready to use the model today.
Do Search and Fetch cost anything right now?
Server-side Search and Fetch calls inside Harness, Claude Code and Codex are free for DeepSeek API users for the moment; billing is scheduled to begin on Oct 31, 2026 at 16:00 UTC.
Where do I get the open weights?
Both Hugging Face and ModelScope host them under the DeepSeek-V4.1-Flash-1017 repository names.
Which image formats can the vision model read?
JPEG, PNG, GIF and WebP all work. Because the model inspects the bytes themselves, a mislabeled extension or an incorrect declared MIME type will not cause a failure.
Start Building With DeepSeek 4.1 Flash 1017
Sign in on the web, open the app or call the API to ship your first project, then pull the open weights from Hugging Face or ModelScope if you would rather self-host.
