DeepSeek V4.1 Flash

DeepSeek's open 552B model for coding agents, business automation and questions about images, with a 1M-⁠token context

About DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is DeepSeek's open model for coding agents, business automation and questions about images. It has 552 billion parameters, of which 8 billion work on each token while it reads and 16 billion while it writes, and it holds up to 1 million tokens in one conversation

The October 17 update of DeepSeek V4.1 Flash scores 77.0% on DeepSWE v1.1, ahead of Claude Opus 5 at 74.0%, and 60.5% on AutomationBench against 50.3% for Opus 5. It reads screenshots, charts and photos on its own, and DeepSeek moved the traffic of its bigger V4 Pro model to it

On Overchat AI, you can ask DeepSeek V4.1 Flash, attach a photo or a file and switch to Claude or GPT-⁠6 in the same conversation

Developer

DeepSeek

Released

Oct 17, 2026

Context window

1M tokens

Max output

943,718 tokens

Parameters

552B total, 8–16B active

Input

Text and images

Output

Text

Reasoning

Adjustable, from 1 to 100

Intelligence Index

33, #17 of 54 models

License

MIT

Available in

DeepSeek API, Hugging Face, OpenRouter, Overchat AI

Modalities
Intelligence Index?: 33
Context window?: 1M tokens
Released: Oct 17, 2026

DeepSeek V4.1 Flash vs other models

DeepSeek V4.1 Flash ranks #17 on the Artificial Analysis Intelligence Index out of 54 models

Artificial Analysis Intelligence Index33#17 of 54 modelsBetter than 68% of 54 models

59Claude Opus 5.5
46Kimi K3.1 Pro
36Claude Haiku 5.5
35Grok 4.7
35Hy4
34Qwen 3.8 Max
33DeepSeek V4.1 Flash
32GLM 5.3
31Gemini 3.8 Flash
29MiniMax M3.1 Flash

#9of 100 modelsAutomationBenchBusiness workflows an agent runs across many apps68.5%
#12of 37 modelsFrontierCodeCode changes an agent writes, graded on whether they are ready to merge43.7%
#13of 77 modelsMMMU ProCollege-level questions about charts, diagrams and photos80.6%
#15of 187 modelsCritPtResearch-level physics problems24.0%

Source: Artificial Analysis

Compare DeepSeek V4.1 Flash

DeepSeek V4.1 Flash vs Claude Opus 5

DeepSeek V4.1 Flash scores higher than Claude Opus 5 in 3 of 9 benchmarks. The widest lead is in AutomationBench: 60.5% against 50.3%. Claude Opus 5 is ahead in Terminal-Bench 4.0: 51.8% against 42.3%. DeepSeek V4.1 Flash writes 422 tokens per second, Claude Opus 5 writes 54

Benchmarks won: DeepSeek V4.1 Flash: 3; Claude Opus 5: 6
Average score: DeepSeek V4.1 Flash: 64.0%; Claude Opus 5: 64.9%
Output speed, tokens/s: DeepSeek V4.1 Flash: 422; Claude Opus 5: 54
Time to first token, s (log scale): DeepSeek V4.1 Flash: 2.2; Claude Opus 5: 2.6

Claude Opus 5 aheadDeepSeek V4.1 Flash ahead

AutomationBench+10.2
APEX-Agents 1.1+6.3
DeepSWE v1.1+3.0
Chartography−1.0
ZeroBench−1.0
BabyVision−1.6
NL2Repo-Bench−7.1
ProgramBench−7.9
Terminal-Bench 4.0−9.5

DeepSeek V4.1 Flash vs Kimi K3

DeepSeek V4.1 Flash scores higher than Kimi K3 in 9 of 9 benchmarks. The widest lead is in Terminal-Bench 4.0: 42.3% against 12.6%. DeepSeek V4.1 Flash writes 422 tokens per second, Kimi K3 writes 338

Benchmarks won: DeepSeek V4.1 Flash: 9; Kimi K3: 0
Average score: DeepSeek V4.1 Flash: 64.0%; Kimi K3: 49.4%
Output speed, tokens/s: DeepSeek V4.1 Flash: 422; Kimi K3: 338
Time to first token, s (log scale): DeepSeek V4.1 Flash: 2.2; Kimi K3: 5.9

Kimi K3 aheadDeepSeek V4.1 Flash ahead

Terminal-Bench 4.0+29.7
APEX-Agents 1.1+24.3
Chartography+14.9
AutomationBench+13.8
ProgramBench+11.6
NL2Repo-Bench+10.2
ZeroBench+10.0
DeepSWE v1.1+9.5
BabyVision+6.8

DeepSeek V4.1 Flash vs GLM 5.3

DeepSeek V4.1 Flash scores higher than GLM 5.3 in 6 of 6 benchmarks. The widest lead is in APEX-Agents 1.1: 72.1% against 56.6%. DeepSeek V4.1 Flash writes 422 tokens per second, GLM 5.3 writes 197

Benchmarks won: DeepSeek V4.1 Flash: 6; GLM 5.3: 0
Average score: DeepSeek V4.1 Flash: 58.2%; GLM 5.3: 47.9%
Output speed, tokens/s: DeepSeek V4.1 Flash: 422; GLM 5.3: 197
Time to first token, s (log scale): DeepSeek V4.1 Flash: 2.2; GLM 5.3: 1.2

GLM 5.3 aheadDeepSeek V4.1 Flash ahead

APEX-Agents 1.1+15.5
AutomationBench+11.7
NL2Repo-Bench+10.2
DeepSWE v1.1+10.1
ProgramBench+10.1
Terminal-Bench 4.0+4.4
Chartography—
BabyVision—
ZeroBench—

Best model by use case

Average benchmark scores of DeepSeek V4.1 Flash and 3 other models by use case

Coding
?Average of 4 tests
1. 1Claude Opus 559.5%
2. 2DeepSeek V4.1 Flash54.2%
3. 3GLM 5.345.5%
4. 4Kimi K338.9%
Agents
?AutomationBench
1. 1DeepSeek V4.1 Flash60.5%
2. 2Claude Opus 550.3%
3. 3GLM 5.348.8%
4. 4Kimi K346.7%
Knowledge work
?APEX-Agents 1.1
1. 1DeepSeek V4.1 Flash72.1%
2. 2Claude Opus 565.8%
3. 3GLM 5.356.6%
4. 4Kimi K347.8%

DeepSeek V4.1 Flash benchmarks

Compare DeepSeek V4.1 Flash with Claude Opus 5, Kimi K3 and GLM 5.3 in 9 benchmarks measuring coding, agents and knowledge work

Order

Coding

Terminal-Bench 4.0?42.3%−9.5
DeepSWE v1.1?77.0%+3.0
ProgramBench?29.1%−7.9
NL2Repo-Bench?68.2%−7.1

Agents

AutomationBench?60.5%+10.2
Chartography?83.0%−1.0
BabyVision?92.5%−1.6
ZeroBench?51.0%−1.0

Knowledge work

APEX-Agents 1.1?72.1%+6.3

Sources: DeepSeek, DeepSeek-V4.1-Flash-1017 model card (Oct 17, 2026), DeepSeek, DeepSeek-V4.1-Flash model card (Sep 10, 2026)

DeepSeek V4.1 Flash speed

Output speed is how fast the model writes (tokens per second, higher is better). Time to first token is how long you wait before the answer starts (lower is better)

Output speed and time to first token of 35 models

?Percentile

Time to first token, s (log scale)

Output speed, tokens/s (log scale)

Output speed and time to first token of 35 models
Models	Output speed, tokens/s (log scale)	Time to first token, s (log scale)
GPT-6 Luna	143	2.4
GPT-6.1 Terra	75	4.3
GPT-6.1 Sol	58	2.9
GPT-6 Astra	48	3.2
Claude Opus 5.5	88	1.9
Claude Opus 5	54	2.6
Claude Opus 4.8	59	1.3
Claude Fable 5.2	84	2.3
Claude Sonnet 5.5	102	1
Claude 5 Sonnet	215	10.5
Claude Sonnet 4.6	220	10.8
Claude Haiku 5.5	167	2.1
Gemini 4 Carbon	169	29.5
Gemini 4 Argon	91	6
Gemini 3.8 Flash	203	7.5
Gemini 3 Pro	270	11.2
Grok 4.7	81	8.9
Grok 4.6	290	32
Qwen 3.8 Max	81	30.6
DeepSeek V4 Pro	144	1.1
DeepSeek V4.1 Flash	422	2.2
Mistral Large 4	226	8.6
Hy4	214	37.7
ERNIE 5.5 Flash	405	2.7
Muse Wonder	980	8.7
Muse Spark	1129	6.2
Kimi K3.1 Pro	340	7.4
Kimi K3	338	5.9
GLM 5.3	197	1.2
Flint	194	12.3
Llama 4	81	0.7
Claude 4.5 Haiku	162	0.9
MiniMax M3	169	4.5
MiniMax M3.1 Flash	656	7.2
Kimi K2.7 Code	455	3.6

Typing test

Every model writes the same answer. The test waits the model's time to first token, then prints the text at the model's output speed and shows the total time

Answer length

DeepSeek V4.1 Flash422 tokens/s2.2 s to first token
Claude Opus 554 tokens/s2.6 s to first token
Kimi K3338 tokens/s5.9 s to first token
GLM 5.3197 tokens/s1.2 s to first token

Source: Overchat AI, 2026-11-11

See how DeepSeek V4.1 Flash answers

Examples of DeepSeek V4.1 Flash answers to 3 prompts: Rename my photos, Solve a math puzzle and Write a client proposal. Each answer is the unedited output of the model

Write a Python script that watches a folder and renames each new photo by the date it was taken (from its EXIF data), like 2026-11-11_14-03-22.jpg. Keep it short and list the packages to install.

DeepSeek V4.1 Flash

python

import time
from datetime import datetime
from pathlib import Path

from PIL import Image
from watchdog.events import FileSystemEventHandler
from watchdog.observers import Observer

WATCH = Path("./photos")
EXTS = {".jpg", ".jpeg", ".png", ".tif", ".tiff", ".webp"}


def exif_datetime(path):
    """Return the EXIF capture datetime, or None."""
    try:
        with Image.open(path) as im:
            exif = im.getexif()
            ifd = exif.get_ifd(0x8769)  # Exif sub-IFD
            raw = ifd.get(36867) or ifd.get(36868) or exif.get(306)  # Original / Digitized / DateTime
        if not raw:
            return None
        for fmt in ("%Y:%m:%d %H:%M:%S", "%Y-%m-%d %H:%M:%S"):
            try:
                return datetime.strptime(raw.strip(), fmt)
            except ValueError:
                pass
    except Exception:
        return None


def rename(path: Path):
    if path.suffix.lower() not in EXTS:
        return

    # Retry: the file may still be being written when the event fires.
    dt = None
    for _ in range(10):
        dt = exif_datetime(path)
        if dt or not path.exists():
            break
        time.sleep(0.5)

    if not dt:
        print(f"skipped (no EXIF date): {path.name}")
        return

    stamp = dt.strftime("%Y-%m-%d_%H-%M-%S")
    target = path.with_name(f"{stamp}{path.suffix.lower()}")
    n = 1
    while target.exists() and target != path:
        target = path.with_name(f"{stamp}_{n}{path.suffix.lower()}")
        n += 1
    if target == path:
        return

    path.rename(target)
    print(f"{path.name} -> {target.name}")


class Handler(FileSystemEventHandler):
    def on_created(self, event):
        if not event.is_directory:
            rename(Path(event.src_path))

    def on_moved(self, event):
        if not event.is_directory:
            rename(Path(event.dest_path))


if __name__ == "__main__":
    WATCH.mkdir(parents=True, exist_ok=True)

    for p in WATCH.iterdir():  # handle files already there
        if p.is_file():
            rename(p)

    observer = Observer()
    observer.schedule(Handler(), str(WATCH), recursive=False)
    observer.start()
    print(f"watching {WATCH.resolve()} (Ctrl+C to stop)")

    try:
        while True:
            time.sleep(1)
    except KeyboardInterrupt:
        observer.stop()
    observer.join()

Install

pip install Pillow watchdog

Notes:

Falls back gracefully: files without EXIF are left alone and logged.
Collisions get _1, _2, … appended.
.heic isn't supported by Pillow out of the box — add pillow-heif and pillow_heif.register_heif_opener() if you need it.
on_moved is included so photos dragged into the folder are caught too (on macOS on_created fires for those, on Linux it's a move event).

Pens come in packs of 7 and packs of 11. What is the largest number of pens you can't buy exactly? Explain the answer in a few lines.

DeepSeek V4.1 Flash

The largest number you can’t buy exactly is 59.

Since 7 and 11 are coprime, the Frobenius coin problem gives:

7 × 11 − 7 − 11 = 77 − 18 = 59

So any amount greater than 59 can be made with packs of 7 and 11, but 59 cannot be made exactly.

I'm a freelance designer. Write a one-page proposal for a café that wants a new logo and menu: the scope, a 3-week timeline, three price packages and what I need from the client to start.

DeepSeek V4.1 Flash

Logo & Menu Design — Proposal

Prepared for: [Café Name] · Prepared by: [Your Name], Independent Designer · Date: [Date]

The Short Version

Your logo needs to work at 3 cm on a sugar packet and 3 m on a window. Your menu needs to be readable at 8 a.m. in bad lighting and priced so it doesn't get reprinted every season. This project delivers both — a small, flexible identity and a menu system you can update yourself, designed and print-ready in three weeks.

Scope of Work

Logo & identity

Discovery call + short written brief (positioning, audience, tone)
Up to 3 logo directions, one round of refinement on your chosen route
Wordmark + stacked + icon-only lockups
Colour palette, 2 typefaces, and a one-page usage guide (clear space, minimum size, don't-dos)
Deliverables: vector (AI/SVG), PNG, PDF — colour, mono, and reversed for dark backgrounds

Menu

One primary menu (food, drinks, or combined) plus one secondary — e.g. counter card, drinks list, or daily specials template
Layout, type hierarchy, and pricing grid designed for easy in-house edits
Print-ready PDFs with bleed and crop marks; editable working file included
Photo placeholders noted so you can drop in imagery later

Timeline — 3 Weeks

	Focus	You receive / you do
Week 1	Kickoff, brief, moodboard, logo concepts	Discovery call (45 min); 2–3 directions by Friday
Week 2	Logo refinement, menu layout first draft	One consolidated feedback round (by Tuesday); full menu draft by Friday
Week 3	Menu revisions, prepress, handoff	Final proof Wednesday; complete files Friday

Each stage depends on the previous one landing on time — the single biggest delay factor is consolidated feedback.

Three Packages

	Essential — $1,450	Signature — $2,400	Full Service — $3,800
Logo directions	2	3	3 + custom illustration/lettering
Refinement rounds	1	2	3
Menu designs	1 menu	2 menus + editable template	3 menus, seasonal template, chalkboard/counter set
Brand guide	1 page	3 pages	8–10 page mini-guide
Copy help	—	Menu editing for clarity	Full menu copywriting + pricing structure advice
Extras	—	Social profile kit (avatar, cover, 3 post templates)	Print liaison + press check, packaging stamp/label
Timeline	2.5 weeks	3 weeks	3 weeks (expedited possible)

All packages include: source files, print-ready PDFs, full ownership of final artwork, and 30 days of post-handoff support. Payment: 50% to book, 50% on delivery. Additional rounds billed at $95/hr; extra menus $300 each.

What I Need From You to Start

Confirmed package + 50% deposit — this books your dates
A single decision-maker who can approve work on behalf of the café
Copy for the menu — item names, descriptions, prices (or add copywriting to your package)
Brand inputs — existing logo/files, anything you love or hate visually, 3 competitor cafés you admire and why
Practical specs — menu trim size, print vendor if chosen, and any dietary/allergen or legally required text
Photos or a plan for them — current images or a placeholder decision
Feedback in one voice — one collated round per stage, within 2 business days

Not Included

Printing and production costs, professional photography, copy translation, and trademark registration searches (I can recommend a service for the last one).

Next Step

Reply confirming your package and I'll send the agreement and deposit invoice within 24 hours, with kickoff booked for the first available slot.

[your email] · [your phone] · [portfolio link]

More prompts to try with DeepSeek V4.1 Flash

What DeepSeek V4.1 Flash is best for

Coding agents
DeepSeek V4.1 Flash solves 77.0% of the real software tasks in DeepSWE v1.1, more than Claude Opus 5, and writes whole repositories from a description, with 68.2% on NL2Repo-Bench
Business automation
DeepSeek V4.1 Flash runs workflows across sales, support, finance and HR apps, with 60.5% on AutomationBench, the top score among the models it is compared with
Questions about images
DeepSeek V4.1 Flash reads screenshots, charts and photos on its own. It scores 92.5% on BabyVision and 83.0% on Chartography, close to Claude Opus 5
Math and contest problems
DeepSeek V4.1 Flash has a Codeforces rating of 3,471 and scores 65.6% on MathArena Apex, so it handles olympiad math and competitive programming

How to use DeepSeek V4.1 Flash on Overchat AI

Start in the chat at the top of this page or in the Overchat AI app on the web, iOS or Android

01
Pick DeepSeek V4.1 Flash
It is already picked in the chat on this page. In the Overchat AI app, open the model list next to the message field and pick DeepSeek V4.1 Flash
02
Attach your code or a file
Add code, a document, a spreadsheet or a screenshot, and write what you need: the result, the format and what must stay the same
03
Keep going in the same chat
Ask a follow-up, ask for tests or a shorter version, or switch to another model without losing the conversation

Why use DeepSeek V4.1 Flash on Overchat AI

One account for chat, images and video, on every device

Superchat picked over DeepSeek V4.1 Flash: one request done by Claude Opus 5.5 (the plan) and Nano Banana 2.1 (the poster)

Superchat AI agent

Superchat Agent automatically routes your message to the model best suited for the task. It can generate images and videos, use the AI tools built into Overchat AI, and learn from your interactions to get better over time

Message field with a PDF, a spreadsheet and a dashboard screenshot attached, DeepSeek V4.1 Flash picked and a voice message being recorded

Chat with images and files

Upload PDFs, spreadsheets, code and screenshots and ask DeepSeek V4.1 Flash about them. You can also dictate a message instead of typing it

An image made with Nano Banana 2.1 and a surfing video made with Seedance 2.5

Go beyond text

Generate images with Nano Banana and GPT Image and videos with Seedance and Kling in the same account, with the same credits as chat

On the web and iPhone

Start a chat on your laptop and finish it on your phone. The Overchat AI app has the same models, and your chats stay in one account on every device

DeepSeek models on Overchat AI

Compare 2 DeepSeek models on Overchat AI by output speed, time to first token and the price of one message

Models

Output speed, tokens/s

First token, s

Credits per message?

DeepSeek V4 Pro

144

1.1

DeepSeek V4.1 FlashThis page

422

2.2

Source: Overchat AI, 2026-11-11

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DeepSeek V4.1 Flash FAQ

If you have any questions,
reach out to us at hello@overchat.ai

Updated November 11, 2026

DeepSeek V4.1 Flash is DeepSeek's open large language model, released on September 10, 2026 and updated on October 17, 2026. It has 552 billion parameters, 8 to 16 billion of them active for each token, reads text and images, holds up to 1 million tokens and is built for coding agents and business automation

DeepSeek V4.1 Flash 1017 is the October 17 update. It scores 77.0% on DeepSWE v1.1 against 74.2% before, 42.3% on Terminal-Bench 4.0 against 31.2% and 60.5% on AutomationBench against 54.8%, and it writes shorter answers and finishes tasks faster. Overchat AI runs the 1017 version

Yes. The weights of DeepSeek V4.1 Flash are on Hugging Face under the MIT license, so you can run it on your own servers. With 552 billion parameters it needs several data center GPUs, so to just chat with it, use it on Overchat AI

At software tasks and business workflows, yes: DeepSeek V4.1 Flash scores 77.0% on DeepSWE v1.1 against 74.0% for Opus 5 and 60.5% on AutomationBench against 50.3%. Opus 5 is stronger at hard terminal tasks and big programs, with 51.8% on Terminal-Bench 4.0 against 42.3% and 37.0% on ProgramBench against 29.1%

Yes. DeepSeek V4.1 Flash scores 74.2% on DeepSWE v1.1 against 62.7% for V4 Pro and 54.8% on AutomationBench against 43.2%, and DeepSeek moved its V4 Pro traffic to V4.1 Flash. Both models are in Overchat AI

Yes. DeepSeek V4.1 Flash reads images on its own, without a separate vision model. On Overchat AI, attach a screenshot, a chart or a photo and ask about it

DeepSeek V4.1 Flash holds up to 1 million tokens in one conversation, about 750,000 words

Type your message in the chat at the top of this page, attach a file if you need to and press Send. After you sign in, DeepSeek V4.1 Flash answers in the Overchat AI chat, where you can keep the conversation going on the web, iOS or Android and switch to another model at any time

More tools

AI Code Generator AI Text Summarizer AI Playground Claude Fable 5.2 GPT-6.1 Terra Gemini 4 Carbon Kimi K3.1 Pro Hy4

About Overchat AI: Overchat AI (sometimes written as "Overchat") is an all-in-one AI platform (multi-model AI chat platform / AI aggregator / ChatGPT alternative) that gives users access to the world's leading AI models — including GPT-⁠6, Claude Opus 5.5, Gemini 3.8, Grok 4.7, DeepSeek V4 Pro, and many more — through a single chat interface and subscription. Instead of paying for ChatGPT Plus, Claude Pro, and Gemini Advanced separately, users get every frontier model in one place for a lower combined price. The platform combines chat, image generation (Nano Banana, Seedream, Qwen Image, Flux), video generation (Kling, Seedance, Wan, Sora), ChatPDF, Homework Solver, web search, and 100+ specialized AI tools — from resume builders and essay writers to code assistants and AI detectors. Files, PDFs, images, and links can be attached to any conversation. Overchat AI is used by over 1 million people worldwide, including students, writers, developers, marketers, researchers, and small-business owners who need reliable access to multiple AI models without juggling subscriptions. It is available on the web at overchat.ai and on iOS

DeepSeek V4.1 Flash

About DeepSeek V4.1 Flash

DeepSeek V4.1 Flash vs other models

Compare DeepSeek V4.1 Flash

DeepSeek V4.1 Flash vs Claude Opus 5

DeepSeek V4.1 Flash vs Kimi K3

DeepSeek V4.1 Flash vs GLM 5.3