DeepSeek
Operational· checked every few minutes

DeepSeek V4.1 Flash 1017 API

The DeepSeek V4.1 Flash 1017 API: DeepSeek's October update, stronger at agents and coding, at the V4.1 Flash price

Price per 1M tokens90%off
Input
$0.03$0.30
Output
$0.12$1.20
Cached input
$0.00074
Model IDdeepseek-v4.1-flash-1017
chat.py
from openai import OpenAI
client = OpenAI(
base_url="https://api.zurelay.com/v1",
api_key="YOUR_ZURELAY_KEY",
)
stream = client.chat.completions.create(
model="deepseek-v4.1-flash-1017",
messages=[{"role": "user", "content": "Explain quicksort in two sentences."}],
stream=True,
)
for chunk in stream:
if chunk.choices:
print(chunk.choices[0].delta.content or "", end="")

Base URL https://api.zurelay.com/v1. Works with any OpenAI SDK. Chat API docs

Context window
1M tokens
Max output
384K tokens
Reasoning
none · high · max
Input
Text, Image
Released
Oct 17, 2026
Status
Operational

Pricing

DeepSeek V4.1 Flash 1017 API pricing. A fraction of the list price.

Pay as you go from prepaid credit, with no subscription. Top up from $10. Requests that fail are never billed.

RateZurelayDeepSeek list
Input
per 1M tokens
$0.03$0.30
Output
per 1M tokens
$0.12$1.20
Cached input
per 1M tokens
$0.00074—

One rate at every prompt length, up to the full 1M context window. Streaming, tool calls and structured outputs cost nothing extra.

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Savings calculator

Move the sliders to your monthly usage.

Input tokens per month50M
Output tokens per month10M
Zurelay
$2.70
DeepSeek list price
$27.00
You save every month$24.30

$291.60 a year

Overview

What is DeepSeek V4.1 Flash 1017?

DeepSeek V4.1 Flash 1017 is the October 17, 2026 update to DeepSeek V4.1 Flash, and the model DeepSeek's own API now serves for Flash requests. DeepSeek reports higher scores on every test it published, faster task completion and shorter outputs, at an unchanged price. The Zurelay DeepSeek V4.1 Flash 1017 API serves it through one OpenAI-compatible endpoint at 90% below DeepSeek's peak list price.

DeepSeek released DeepSeek-V4.1-Flash-1017 on October 17, 2026 as a minor update to V4.1 Flash, which launched on September 10. It keeps V4.1 Flash's architecture, 1M-token context, native image understanding and thinking modes. DeepSeek trained it further with reinforcement learning from self-feedback for end-to-end project work, such as building a game or a 3D scene from a description. DeepSeek's API now serves it under the deepseek-flash name, with calls and prices unchanged.

DeepSeek's model card compares it with V4.1 Flash on agent, coding, reasoning and vision tests, and it scores higher on every one. Terminal-Bench 4.0 rises from 31.2 to 42.3, ProgramBench from 20.3 to 29.1, DeepSWE v1.1 from 74.2 to 77.0 and Humanity's Last Exam without tools from 36.8 to 42.6. On charts, Chartography with tools goes from 78.9 to 83.0.

The update also cuts the cost of getting work done. DeepSeek says it finishes tasks faster and writes shorter outputs, and its DeepSWE chart shows it scoring higher than V4.1 Flash at less than half the cost per task. DeepSeek tuned it for agent harnesses, including its own DeepSeek Harness (version 0.2.1-rc.1 or later). The weights are open under the MIT license.

On Zurelay the model ID is deepseek-v4.1-flash-1017, a dated name that keeps answering with this checkpoint when DeepSeek ships the next one. You pay $0.03 per 1M input tokens and $0.12 per 1M output tokens at any hour, the same as V4.1 Flash. DeepSeek's own rates change between peak and off-peak hours.

Strengths

Where DeepSeek V4.1 Flash 1017 shines. And what teams build with it.

01

Big agent and coding gains

DeepSeek's model card has Terminal-Bench 4.0 at 42.3 against 31.2 for V4.1 Flash, and ProgramBench at 29.1 against 20.3.

02

Less spent per task

Shorter outputs and faster task completion: in DeepSeek's DeepSWE chart it scores higher than V4.1 Flash at less than half the cost per task.

03

The V4.1 Flash price

On Zurelay it costs $0.03 input and $0.12 output per 1M tokens, the same as V4.1 Flash, so the upgrade adds nothing per token.

04

A name that stays put

deepseek-v4.1-flash-1017 always answers with this checkpoint, so evals, prompts and agent harnesses stay valid when DeepSeek ships its next update.

Use cases

  • Coding and terminal agents

    Repository edits, shell tasks and long tool-calling loops, where DeepSeek's reported gains are largest.

  • Whole-project builds

    DeepSeek trained this update on end-to-end project work, from a description to a working game or 3D scene.

  • Charts and screenshots

    Read charts, UI screenshots and scanned pages alongside text, with no separate vision model.

  • High-volume text work

    Summarize, classify and extract at a low per-token rate, with thinking off for quick, direct answers.

Get started

Call DeepSeek V4.1 Flash 1017 in three steps.

No waitlist and no new SDK. If your code already talks to OpenAI, it already talks to Zurelay.

  1. 1

    Create a key

    Sign up, add credit and create an API key. Set a monthly budget or a rate limit per key if you like.

  2. 2

    Point your SDK at Zurelay

    Change the base URL. Everything else in your code stays the same.

    https://api.zurelay.com/v1
  3. 3

    Use deepseek-v4.1-flash-1017

    Send chat completions as usual. Streaming, tool calls and usage reporting work as you expect.

    deepseek-v4.1-flash-1017

FAQ

DeepSeek V4.1 Flash 1017 API questions.

Anything else? Ask our team and we’ll answer by email.

How much does the DeepSeek V4.1 Flash 1017 API cost?

On Zurelay, DeepSeek V4.1 Flash 1017 costs $0.03 per 1M input tokens and $0.12 per 1M output tokens, with cached input at $0.00074. DeepSeek's peak-hour list price is $0.30 input and $1.20 output, and it charges half that off-peak. Zurelay uses one rate at all hours, 90% below DeepSeek's peak list price.

What changed in DeepSeek V4.1 Flash 1017?

It's a minor update to V4.1 Flash with the same architecture, context window and inputs. DeepSeek reports higher scores on agent, coding, reasoning and vision tests, faster task completion and shorter outputs. Terminal-Bench 4.0 goes from 31.2 to 42.3 and DeepSWE v1.1 from 74.2 to 77.0.

What is the difference between deepseek-v4.1-flash-1017 and deepseek-v4.1-flash?

deepseek-v4.1-flash-1017 is pinned to the October 17 checkpoint: every route behind it is tested for that release. deepseek-v4.1-flash is V4.1 Flash's general name, first released on September 10. Both cost the same on Zurelay, read images and hold 1M tokens, so moving to the update is a change of model name.

How do I call the DeepSeek V4.1 Flash 1017 API with the OpenAI SDK?

Set the OpenAI SDK's base URL to https://api.zurelay.com/v1, use your Zurelay API key and set model to "deepseek-v4.1-flash-1017". Tool definitions, streaming and image input work as they do with OpenAI models.

What is the DeepSeek V4.1 Flash 1017 context window?

DeepSeek V4.1 Flash 1017 supports 1M tokens of context and up to 384K output tokens per response.

Does DeepSeek V4.1 Flash 1017 have a thinking mode?

Yes. It thinks by default, as on DeepSeek's own API, at reasoning effort high or max; a request for low runs at high. Set reasoning_effort to none, or send thinking with type disabled, for direct answers without a reasoning trace.

Does the DeepSeek V4.1 Flash 1017 API support streaming and per-key rate limits?

Streaming works with stream: true, as with the OpenAI API. You can set a requests-per-minute cap and a monthly budget on each Zurelay API key.

Is it the same model DeepSeek serves?

Yes. Requests to deepseek-v4.1-flash-1017 run DeepSeek-V4.1-Flash-1017, the checkpoint DeepSeek serves as deepseek-flash and published with open weights. Every route is tested before it serves requests and every day after. Responses are sampled, so wording varies between runs. Zurelay is independent and not affiliated with DeepSeek.

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