DeepSeek-v4.1-Flash-1017

https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017

100•theykk•1h ago

Comments

freakynit•57m ago

Those benchmarks can't possibly be real, right? Right? <insert padme 4-panel meme here>

logicchains•49m ago

At this rate the frontier labs will be Anthropic and DeepSeek, with OpenAI struggling to keep up.

freakynit•42m ago

I believe these are the last sets of super-high-end models available to public (open or closed).. these companies probably will now start to withhold top-of-the-line models for themselves, governments, and their super-high-paying partners only.

stymaar•31m ago

News from a near future:

Here's How Distill APT Used McKinsey's Private Access To Top Anthropic Model To Help The Chinese Keep Up With The Us Top IA Labs Despite Access Restrictions

ReptileMan•10m ago

We have the weights, we have the papers, nothing preventing development on this foundation.

slopinthebag•14m ago

idk, sol 6.1 is both cheap and capable. i've been using it exclusively, i don't need to care about usage, and it's really smart.

yes maybe opus 5.5 is stronger and flash is cheaper, but 6.1 strikes a good balance imo.

ReptileMan•11m ago

i have a feeling that Sol is just Astra low, but with lowest possible priority on the compute.

A_D_E_P_T•4m ago

OpenAI's models -- and even Google's Argon -- have particular niches where they shine. For GPT-6/6.1, it's 3D modeling; Astra is hands-down the best at making .step files, Blender files, etc. For Argon, it's natural language writing and everything that hooks up to Google, e.g. search and maps-based itinerary planning.

Anthropic and DeepSeek (+ GLM) are definitely solving coding, though!

They're all quite different tools.

bashtoni•44m ago

"a minor update" they say before showing off benchmarks that display a substantial improvement.

jononor•43m ago

Above GLM 5.3, nice! That is a very capable model. I do wish that we will see some smaller "flash" models again though - running this one locally is tough (very costly).

LaurensBER•33m ago

For comparison, close to Opus 5. Far behind Sol 6.1 and Opus 5.5.

Probably a pretty decent model for 90% of the usecases!

I've been doing a lot of hobby work with GLM 5.3 Flash and I can count the amount of times that I need a stronger model on two hands.

I have access to unlimited tokens at works and Opus is great but also often overkill if you know exactly what you need.

egeozcan•20m ago

I use Opus for planning, through API on medium thinking, it doesn't cost anything significant and the rest can be happily done with deepseek or glm flash. Using sol 6.1 for review loops at the end. All running on pi.

A very complex task tends to cost like 10$ max. It's comparable to a subscription with enormous flexibility.

It's a steal.

Pragmata•21m ago

Cant you run it on a pair of DGX spark? Sure it's expensive now, but at the initial retail price that was what, 8k in hardware? Not exactly unachievable

bashtoni•13m ago

No, this is not a small model. I believe 4x Sparks is possible but 4.1 is pretty big for a flash model.

MiMo 2.6 Flash is the most capable model you can currently run on 2x Sparks without resorting to a quantised version of something.

m00dy•40m ago

We're in a crisis

pmxi•37m ago

Hilarious sentence: "DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks." (emphasis mine)

freakynit•34m ago

Kinda shows their team is more engineers than marketers.

jaynetics•22m ago

It's not really contradictory, minor changes can have major effects.

mdp2021•8m ago

So they meant a "small" update - "conservative", "inexpensive"...

ReptileMan•15m ago

That is how exponential functions work. Improve every aspect of a system with 1% and you may get easily 50% more performance.

throwfaraway135•33m ago

Another big win for opensource AI.

BTW who would have thought China would be the champion of freedom and opensource in the AI arena, while US is fighting for corporate/government control.

npn•31m ago

So this is the reason for the crash a few days ago.

dgellow•21m ago

What crash?

brador•15m ago

Ai/tech stock crash

npn•3m ago

Deepseek servers went unavailable for 5 hours. They compensated that by rewarding the previous week usage as credit though. Pretty nice.

handfuloflight•29m ago

Is it coming to OpenCode et al?

opengears•26m ago

and do we know which version runs on opencode at the moment (on the free and on the paid version), is there a way to find out?

floooof•24m ago

they must've been using this since 2-3 days when it became free again in OpenCode, it's noticeable smarter, beats GLM

nik736•17m ago

Those are crazy numbers for a Flash model. Hopefully they can scale what they are doing to 4.1 Pro.

ytxm•10m ago

It passed my threshold for not caring to try new models back with DS4, I use it for literally everything. Announcements of new models in the series always feel curious, because it doesn't really feel like there's much left to fix that would improve on what's already there for any task I know of.

It's a bit like obsessing over patch releases of some software after a major upgrade already solved the original problem long ago.

mmoustafa•9m ago

definitely could use less thinking time and lower token usage, which is what this bump is focused on

xiphias2•1m ago

I have quite the opposite experience: I can do any concrete coding change with any model, but the intelligence limit just doesn't go through more complex debugging examples.

And then when I try a smart model, like Astra medium and it solves it (I had a firmware bug in my new laptop where I couldn't charge through USB-C) on the first try (altough with a repo already having lots of information about the hardware/firmware/debugging programs/traces), I realize how much time I'm losing on the few examples that the less intelligent models are just not able to debug and solve.

gmbhgmbh•7m ago

Thank you deepseek, we are eating good today.

waximabbax•7m ago

Looks very impressive especially considering the price and speed. Let's wait for AA to confirm how well their benchmarks hold up.

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DeepSeek-v4.1-Flash-1017

Comments

DeepSeek: DeepSeek v4.1 Flash 1017

Ultramarine 1 Flash

"Tame" boar and deer are instinctively adapting to the wolf in the Netherlands

Tesla Roadster

Show HN: Llmspeed – feel how fast a local LLM runs before you buy the hardware

DeepSeek-v4.1-Flash-1017

Is MCP becoming the common foundation of smart, decentralised search?

Intuitive concurrent programming in any language

Llama.cpp on a jailbroken PS5: run any GGUF model natively on the console

You could have invented transformers from memory

Claude reveals ECDSA curve origins

Tell HN: Remember to migrate away from .name domain

FLUX 3 Image Klein

Apple ML Research: Muse Spark Open with MLX on Mac Studio

0/1 Knapsack Problem in PyTorch

eBay Restricts Listings of Radio Equipment, but Exempts Ham-Band-Only Gear

Butlerian Jihad

Designing more efficient quantum circuits with Claude

I built the RealWorld app in Lean 4

JPEG XL vs. AVIF for web use-cases

Monte-Carlo Simulations

A story of WiFi secrets, UART lockdowns and a damaged flash memory chip

Flexport Is Hiring a Biz Ops Leader in Office of CEO

90% of US working hours are spent on tasks not covered well by AI benchmarks

How the Claude Code team does code review

C++26: The New Debugging Header

Wireless magnetic millirobots that deliver medicine inside the beating heart

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Show HN: Gemini 4 Argon plays StarCraft

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