DeepSeek

DeepSeek V4.1 Flash

Open-weights model released 10 September 2026. List price, context window and where to check them.

Figures supplied 14 October 2026. Not re-verified.

Price and size

USD list prices per million tokens. They leave out caching, batch discounts, tiered pricing and taxes.

Price and size

Input
$0.30per 1M tokens
Output
$1.20per 1M tokens
Blended 3:1
$0.523 parts input, 1 part output
Context window
1Mtokens
Typical month
$6.0010,000 requests of 1,000 in, 250 out

The record

The record

Provider
DeepSeek
Weights
Open weights. Read the licence before commercial use: we have not reviewed it.
Inputs it accepts
text, image
Release date
10 September 2026
Maximum output
384K tokens

What we do not know

Stating the gaps matters as much as stating the figures.

Unknowns

  • Quality benchmarks (none published here)
  • Licence terms
  • Speed and reliability

Where to check these figures

These are the provider's own pages. Listing a link here does not mean we have checked it.

Sources

Data for every model: /data/. How we handle model figures: methodology.

Frequently asked questions

How much does DeepSeek V4.1 Flash cost?

The supplied list price is $0.30 per million input tokens and $1.20 per million output tokens. At 10,000 requests a month of 1,000 input and 250 output tokens, that is about $6.00 a month. It leaves out caching, batch discounts, tiered pricing and taxes. Check DeepSeek's pricing page before you budget.

How large is the DeepSeek V4.1 Flash context window?

The supplied context window is 1M tokens. That figure has not been re-verified against DeepSeek's documentation.

Is DeepSeek V4.1 Flash an open-weights model?

Yes, it is recorded as open weights, so you may be able to self-host it. Read the licence before commercial use: we have not reviewed it.

Is DeepSeek V4.1 Flash better than other models?

We cannot say. No quality benchmark for it is published on this site, and the Model Finder orders results by cost, not quality. Use the finder to shortlist models, then test them on your own prompts.