Coding Free HF weights; API ~$0.15–$0.30/M in (cache miss, off-peak), $0.60/M out ★ Editor's pick

DeepSeek-V4.1-Flash-1017

Open-weight multimodal MoE for agentic coding, project builds, and visual reasoning at lower flash-tier cost.

Updated 2026-10-17

8.8

AI Score / 10

Visit DeepSeek-V4.1-Flash-1017

Quick answer

Yes, within limits. DeepSeek-V4.1-Flash-1017 runs a free tier with paid plans above it.

Listed pricing: Free HF weights; API ~$0.15–$0.30/M in (cache miss, off-peak), $0.60/M out.

Pricing not re-verified Is it free? Pricing Is it worth it?

Overview

DeepSeek-V4.1-Flash-1017 is an open-weight multimodal mixture-of-experts model aimed at agentic coding, project building, and visual reasoning. DeepSeek shipped it on 17 October 2026 as a Pareto step up from V4.1-Flash: the same flash lane, with the company claiming stronger agentic-task results, higher speed, and lower cost than that prior checkpoint.

The audience is engineers and agent builders who want a coding model on the DeepSeek API or from the Hugging Face weights, rather than a closed IDE product. Visual reasoning is in the checkpoint, so screenshots and diagrams can sit in the same loop as repo-level work. The packaging is the distinction: a flash coding model you can self-host, not only a hosted chat.

Treat the launch claims as company-reported until longer independent evals are in. Against a general chatbot or an IDE wrapper, the practical difference is open weights plus a metered flash API, tuned for agents that build projects instead of one-shot completions.

Is DeepSeek-V4.1-Flash-1017 free?

Yes, within limits. DeepSeek-V4.1-Flash-1017 runs a free tier with paid plans above it.

What the free tier covers: Free open weights on Hugging Face. API calls are metered.

Listed pricing: Free HF weights; API ~$0.15–$0.30/M in (cache miss, off-peak), $0.60/M out.

Pricing on this page has not been re-verified. The entry was last edited on 2026-10-17, and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.

What the free tier leaves out

Read straight off the plan list below. Vendors move features between tiers, so check the current split before you pay.

API ~$0.15–$0.30/M input, $0.60/M output Input range is cache-miss, off-peak as stated at launch; check the DeepSeek pricing page for peak and cache-hit rates

DeepSeek-V4.1-Flash-1017 pricing

Plan	Price	What's included
Open weights	Free	Checkpoint on Hugging Face for local or self-hosted inference
API	~$0.15–$0.30/M input, $0.60/M output	Input range is cache-miss, off-peak as stated at launch; check the DeepSeek pricing page for peak and cache-hit rates

Open weights Free

Checkpoint on Hugging Face for local or self-hosted inference

API ~$0.15–$0.30/M input, $0.60/M output

Input range is cache-miss, off-peak as stated at launch; check the DeepSeek pricing page for peak and cache-hit rates

Is DeepSeek-V4.1-Flash-1017 worth it?

You can test that on the free tier before paying anything. The recorded trade-offs are listed below, and any one of them can settle the question on its own.

The 8.8/10 AI Score is an editorial read of published capability, price and shipping pace. Nobody here has hands-on hours with DeepSeek-V4.1-Flash-1017. How we verify.

Worth it if

The strengths recorded against this entry.

Open weights on Hugging Face, so you can self-host instead of staying on the API
Positioned as a speed-and-cost improvement on V4.1-Flash while keeping the flash lane
Multimodal visual reasoning in the same checkpoint as agentic coding
Output priced around $0.60 per million tokens, with off-peak cache-miss input around $0.15–$0.30 per million

Not worth it if

Any one of these blocks your use case.

Quoted input rates are cache-miss and off-peak; peak and cache-hit prices are easy to misread from the headline range
A flash checkpoint is the wrong default when you need DeepSeek's larger non-flash model for the hardest reasoning
Same-day release, so independent long-horizon evals and IDE support are still thin
Self-hosting a multimodal MoE still needs real GPU capacity; the free weights are not a lightweight local chat app

Key features

Open-weight MoE

Weights are published on Hugging Face, so teams can self-host or fine-tune around the checkpoint instead of calling only the hosted API. It is a mixture-of-experts model, which is how DeepSeek keeps a flash tier cheap relative to a dense model of similar peak capacity.

Agentic coding

The release is positioned for multi-step coding and project building, not single-line completion. DeepSeek frames the 1017 checkpoint as a gain on agentic tasks versus V4.1-Flash.

Visual reasoning

The model is multimodal, so image context such as UI screenshots or diagrams is part of the same coding model. That matters for agents that have to read a design and change a repo, not only text diffs.

Flash API pricing

Hosted use is metered. The figures given with the launch are about $0.15–$0.30 per million input tokens on a cache miss during off-peak hours, and about $0.60 per million output tokens. Confirm live peak and cache-hit rates before you budget a workload.

How it compares

Tool	Best for	Pricing	Score
DeepSeek-V4.1-Flash-1017	—	Free HF weights; API ~$0.15–$0.30/M in (cache miss, off-peak), $0.60/M out	8.8/10
Cursor	Professional developers handling complex, multi-file refactors who want AI built into a familiar VS Code-based editor.	Free Hobby + Individual $20/mo + Teams $40/user/mo + Enterprise Custom	9.5/10
GPT-5.5	Developers and teams needing a frontier reasoning model for agentic coding workflows and large-codebase context handling.	API: $5/$30 per 1M tokens (in/out). ChatGPT Plus $20/mo, Pro $200/mo	9.4/10
Claude Code	Developers who want an agent that works inside an existing repo and toolchain rather than in a hosted editor, and who already pay for a Claude plan.	Included with Claude Pro $17/mo, Max 5x $100/mo, Max 20x $200/mo, Team and Enterprise plans	9.3/10