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.
The DeepSeek V4.1 Flash 1017 API: DeepSeek's October update, stronger at agents and coding, at the V4.1 Flash price
deepseek-v4.1-flash-1017from openai import OpenAIclient = 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
Pricing
Pay as you go from prepaid credit, with no subscription. Top up from $10. Requests that fail are never billed.
| Rate | Zurelay | DeepSeek list | You save |
|---|---|---|---|
Input per 1M tokens | $0.03 | 90%off | |
Output per 1M tokens | $0.12 | 90%off | |
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.
Every DeepSeek model and priceMove the sliders to your monthly usage.
$291.60 a year
Overview
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
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.
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.
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.
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
Repository edits, shell tasks and long tool-calling loops, where DeepSeek's reported gains are largest.
DeepSeek trained this update on end-to-end project work, from a description to a working game or 3D scene.
Read charts, UI screenshots and scanned pages alongside text, with no separate vision model.
Summarize, classify and extract at a low per-token rate, with thinking off for quick, direct answers.
Get started
No waitlist and no new SDK. If your code already talks to OpenAI, it already talks to Zurelay.
Sign up, add credit and create an API key. Set a monthly budget or a rate limit per key if you like.
Change the base URL. Everything else in your code stays the same.
https://api.zurelay.com/v1Send chat completions as usual. Streaming, tool calls and usage reporting work as you expect.
deepseek-v4.1-flash-1017Works with the tools you already use
Compare
$0.03 / $0.12 per 1M tokens
Pick DeepSeek V4.1 Flash if your code already calls it or DeepSeek's deepseek-flash name: same price, inputs and context.
DeepSeek V4.1 Flash API$0.23 / $0.62 per 1M tokens
Pick DeepSeek V4 Pro 0813 for the larger 1.6T-parameter V4 model on a fixed checkpoint.
DeepSeek V4 Pro 0813 API$0.029 / $0.087 per 1M tokens
Pick DeepSeek V4 Flash 0731 to pin the previous-generation, text-only V4 Flash release.
DeepSeek V4 Flash 0731 APIOn 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.
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.
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.
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.
DeepSeek V4.1 Flash 1017 supports 1M tokens of context and up to 384K output tokens per response.
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.
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.
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.
Create a key in seconds, point the SDK you already use at Zurelay, and every request costs up to 90% less from the first token.