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DeepSeek V4.1 Flash 1017

Name: DeepSeek V4.1 Flash 1017
Author: DeepSeek

by DeepSeek

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-ex

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Models

DeepSeek V4.1 Flash 1017

Added 17 Oct 2026

#deepseek

Overview

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...

Best for

Best for
Dated DeepSeek development snapshot

How to use / API access

Call via OpenRouter with model id `deepseek/deepseek-v4.1-flash-1017`.

openrouter · deepseek/deepseek-v4.1-flash-1017 Docs

OpenRouter id: deepseek/deepseek-v4.1-flash-1017

Benchmarks

Intelligence Index (artificial-analysis): 39.5 index

Notes

DeepSeek V4.1 Flash 1017 is listed in the EDNA Models directory from the OpenRouter catalogue.

Pros

Comparing repeatable coding prompts against a dated model ID
text, image input; text output on the listed OpenRouter route

Cons

Calling this snapshot the same as a moving provider alias
Ignoring time-dependent pricing overrides
Catalogue base token rates have additional pricing overrides. Context length, time window, caching, reasoning, tools or media can change total cost; the simple calculator is not a full quote.

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USAGE / OPENROUTER

How much DeepSeek V4.1 Flash 1017 is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days: 3.7T
Requests, last 7 days: 68.2M
Tool calls, last 7 days: 23.9M
Intelligence score: 39.5
Average cost per request: 10.6¢
Price per million tokens: $0.15 in · $0.6 out

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MODEL FIELD GUIDE / SOURCE EVIDENCE

What you can do with DeepSeek V4.1 Flash 1017.

Specifications reviewed; no EDNA task evaluation has been run. Sources checked 2026-10-20. Hosting routes and app features can differ.

DeveloperDeepSeek

Exact model identifierdeepseek/deepseek-v4.1-flash-1017

Inputtext, image

Outputtext

Tool calling: Listed support
Structured output: Listed support
Reasoning controls: Listed support
Availability: available
Price basis: token
Licence verification: Check the developer licence; the model name is insufficient

Catalogue base token rates have additional pricing overrides. Context length, time window, caching, reasoning, tools or media can change total cost; the simple calculator is not a full quote.

Consider it for

Comparing repeatable coding prompts against a dated model ID
Analysing screenshots alongside technical instructions

Watch for

Calling this snapshot the same as a moving provider alias
Ignoring time-dependent pricing overrides

PRACTICAL EXERCISE / NOT RUN BY ENTERPRISE DNA

Try the model on a small, checkable task.

Review a screenshot of a form plus its rule: quantity must be a positive integer. Design tests for 0, -1, 1.5 and 2; separate what is visible from what requires code inspection.

Check the result: Only 2 is valid; the response does not claim tests were executed.

Compare another approach

anthropic claude sonnet 5 5 ↗openai gpt 6 1 sol ↗

Inspect the sources and their scope

provider source ↗

Developer documentation for model family or task. OpenRouter route-specific properties remain catalogue claims; EDNA has not executed a task evaluation.

Checked 2026-10-19

catalogue source ↗

deepseek/deepseek-v4.1-flash-1017: listed route capabilities, availability and prices; provider endpoints can differ.

Checked 2026-10-20

How to evaluate a model for your work →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Extract document dataWorkflow & starter prompt ↗Run a reliable agentWorkflow & starter prompt ↗

Check the source

Price date: 2026-10-20. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 39.5 (2026-10-18) ↗

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