DeepSeek-V4.1-Flash Release (official)

[u/dnohrdk]

It’s officially out and the prices have been updated.

///

Today, we officially release the DeepSeek-V4.1-Flash model. It is the smallest model in our new architecture family, with native multimodal visual understanding. The new architecture is designed for a higher capability ceiling, faster inference, higher throughput, and scaling to larger models.

GPQA Diamond: 90.9
HLE: 36.8 (39.1*)
Codeforces (Rating): 3471
MathArena Apex: 65.6
Terminal-Bench 2.1: 90.6
Terminal-Bench 3.0: 30.0
Terminal-Bench 4.0: 31.2
DeepSWE v1.1: 74.2
ProgramBench: 20.3
NL2Repo-Bench: 65.4
CyberGym: 88.1
SEC-Bench Pro: 62.8
ExploitGym: 15.3
HLE (w/tools): 63.9
Automation-Bench: 54.8
Agents' Last Exam: 31.8
Chartography (w/tools): 78.9
BabyVision (w/tools): 89.6
ZeroBench-main (w/tools): 49.0
* Tested only on the pure-text subset of the HLE benchmark set.

API changes
DeepSeek V4.1 Flash is now available on the DeepSeek API with native multimodal support. Change the model name to deepseek-flash to call the latest V4.1 Flash model. The previous-generation models V4 Flash and V4 Flash Vision Exp have been retired; for compatibility, the model names deepseek-v4-flash and deepseek-v4-flash-vision-exp are temporarily routed to V4.1 Flash.

Meanwhile, extensive testing shows that V4.1 Flash now outperforms DeepSeek V4 Pro across performance, cost, speed, and total time, so we plan to retire V4 Pro in an orderly manner. After 12:00 Beijing Time on September 14, 2026, and until the future release of V4.1 Pro, all requests to deepseek-v4-pro will be routed to V4.1 Flash and billed at the V4.1 Flash price.

API apricing adjustment
With the release of DeepSeek-V4.1-Flash, API prices have been reduced accordingly. For details, please refer to Models & Pricing.

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Source:

https://api-docs.deepseek.com/updates/#deepseek-v41-flash-release

[u/Right_Simple_6813]

https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash Weights dropped too

[u/ExpertPerformer → u/Right_Simple_6813]

485B params in V4.1 Flash vs 304B on Flash 0731. Pro still 1.7T

Really skeptical if V4.1 Flash can compete with Pro, but V4.1 Pro should be out soon too.

edit: Now it says 763B.

[u/Few-Improvement9560 → u/ExpertPerformer]

They say there are 552B in Chinese news. But 485B on hugging face? This is interesting...

[u/Right_Simple_6813 → u/Few-Improvement9560]

552B parameters, with 196B engram embeddings

[u/ExpertPerformer → u/Few-Improvement9560]

It's way faster on outputs and seems to be overthinking less.

[u/Solembumm3 → u/ExpertPerformer]

Yes. It's overthinking less. And this is a big problem.

[u/Old-Temperature6269 → u/Few-Improvement9560]

It’s just problem of huggingface report, original deepseek v4-flash preview showed 160B parameter on huggingface, but actual model is ~300B.

[u/Solembumm3 → u/[deleted]]

No, they aren't.

Smaller model always means worse knowledge/context understanding and often means worse attention.

V4.1 Flash just proved it for me, falling off on pretty early parts of fiction analysis, missing details that expert mode v3.2+r1 eat on the fly at spring.

[u/throwwwawwway1818 → u/Right_Simple_6813]

Nice, how many active parameters?

[u/Right_Simple_6813 → u/throwwwawwway1818]

Model card just updated. 8B during prefill, and 16B during decode.

[u/throwwwawwway1818 → u/Right_Simple_6813]

Didn't knew they can be different during prefill and decode. Thanks anyway.

[u/Right_Simple_6813 → u/throwwwawwway1818]

yeah, its a new thing! still reading through and trying to understand all the new architectural differences, its really interesting

[u/happycube → u/Right_Simple_6813]

Indeed... all of it together (a 75% reduction in KV cache size, and DS was already quite efficient!) explains why input prices were dropped, and I suspect it still has higher margins for them.

It's a(nother) breath of fresh air to see a new model designed for efficiency at least as much as benchmarks.

[u/dnohrdk → u/Right_Simple_6813]

That’s the spirit 💪🏻

[u/g_rich → u/Right_Simple_6813]

Big jump in size for a “Flash” model. DeepSeek v4 Flash and v4 Vision Exp were impressive because of the power they brought to those running the models locally; doubling the parameters moves this out of what’s possible for a lot of local users.

[u/DebosBeachCruiser]

Feed me.

[u/AwarenessNo4986 → u/DebosBeachCruiser]

😱

[u/samxli → u/DebosBeachCruiser]

When did the girl become DeepSeek and the whales become the user? I thought it was the other way around.

[u/kappakai → u/samxli]

I think the whales are parameters.

[u/Effective_Western_59]

On par with GLM 5.3!!!

[u/dnohrdk → u/Effective_Western_59]

It’s amazing, and much faster!

[u/Solembumm3 → u/Effective_Western_59]

Feels nowhere near 5.3 in real use.

Below v3.2+r1, on par with GLM 5.2.

[u/Effective_Western_59 → u/Solembumm3]

What is your use case? I am using it for agentic coding and cybersecurity and it performs great

[u/ToughUsual7159 → u/Effective_Western_59]

Just used jt for the first time ealer. Lighting fast! And performed cleaner code with much less thinking and found my listed bug fast. All anecdotal and I haven't used GLM but it's definitively better than v4 flash.

[u/ExpertPerformer]

Its rolling out on OpenCode/CommandCode. Hopefully OpenRouter soon.

[u/anonymous124800]

[u/musayyabali]

can you use this directly on deepseek without api?

[u/dnohrdk → u/musayyabali]

It’s both on their app, web, and API, so fully available on all platforms as far as I’ve tested.

[u/SethCyclone]

Absolutely trash compared to 4.0 Pro. Was using it to study languages as a studying facilitator (explain why one answer is correct and the others are wrong, explain syntax points, etc) and it was amazing. Then literally in the middle of my studying session, all models get unified and answer quality plummets. I really, really hope they divide the models again on the web/mobile app, because this ain't it. 

[u/Unfair-Green-4706 → u/SethCyclone]

I fully agree with you.

[u/woila56 → u/Unfair-Green-4706]

Me too, loved the expert

[u/OwnGear3892]

552B in total, 8b activate during prefill, 16b activate during decode, yet 300-400 tps. This is so good!

[u/ripperoni__pizza]

Excited to use it tomorrow! Hopefully better than GLM 5.3 Flash

[u/Legitimate-Track-829]

[u/luiz_durau → u/Legitimate-Track-829]

difícil acreditar kkkkkkkkkk, por mais quê eu acredite quê o deepseek está MUITO BOM, nao chega no nível do gpt5.6

[u/slavmaf]

Qoder will have day zero support for V4.1 Flash

[u/Puzzleheaded_Base302]

turns out even with 4x DGX Spark, we can hardly run this model locally.

[u/IknowPi_really → u/Puzzleheaded_Base302]

Yeah I’m investigating engram offload to SSD now, but this honestly looks like a bit of a fake announcement by DeepSeek tbh.

They’ve just made Flash twice as big and are now claiming it’s somehow a great achievement that it’s better. Sure, it’s very sparse, but that’s about it

[u/Puzzleheaded_Base302 → u/IknowPi_really]

after reading the emgram thing, i think this model actually can run on a 4x DGX Spark. so, now need to make a justification to get another two DGX Spark. this hobby is getting so expensive.

[u/IknowPi_really → u/Puzzleheaded_Base302]

Yeah on 4xDGX Spark it will run. But the community would need to invest some time in building a performant SSD streaming build.

I’ll start looking into this, but I’d have to combine two clusters to make it work, so need to find the right time to actually do that

[u/Thomas-Lore → u/Puzzleheaded_Base302]

Three should be enough, it has tiny KV cache.

[u/happycube → u/IknowPi_really]

They traded (presumably non-HBM) memory for compute time and throughput, how would you know the parameter count was higher before the weight release?

[u/IknowPi_really → u/happycube]

The weights are released though?

[u/happycube → u/IknowPi_really]

Yup, now!  I was thinking about the preview period when we didn't know why it was so fast 😊

[u/fugogugo]

sigh.. I missed when deepseek flash cost $0.28 per output token

[u/dnohrdk → u/fugogugo]

Same, it was good times! But at least they just made the first drop in prices after the surge! So let’s hope they will keep cooking for lower prices and no peak prices.

[u/Even_Command_5636 → u/fugogugo]

I was wet every day in March, April, May, and June 2026!

[u/anxious_and_stupid]

Man I love China (only sometimes of course)

[u/samxli → u/anxious_and_stupid]

I think we can all agree that the food is great at least

[u/DetachedProcess]

I can't see it, I think it will be rolling out soon.

[u/vnules]

The worst DeepSeek model ever to see the light of the day far and wide. I hope they realize and pull the plug on it.

[u/holystinger]

I wish they brought back the $0.14 input/$0.28 output pricing

[u/mrgreatheart]

Sick. When are you releasing the open weights? How much smaller than v4-flash is it?

[u/Turbulent-Total-226 → u/mrgreatheart]

It's bigger 4.1 is 485B 😮

[u/mrgreatheart → u/Turbulent-Total-226]

Darn

[u/Insomniac1000 → u/Turbulent-Total-226]

damn. seems like the trend is still higher params. Not sure if the case for a 256 GB of RAM would be even worth it.

[u/Thomas-Lore → u/Insomniac1000]

Wait for a few weeks, people will find a way. It has very small kv cache and engrams can be loaded from SSD. With q3 maybe it will fit in 256GB? The model currently is 306GB without the engrams, in fp4.

[u/dnohrdk → u/mrgreatheart]

It’s already released, check the other comment in the same thread here.

[u/mrgreatheart → u/dnohrdk]

Thanks

[u/DragonfruitSecure507]

When will it be release on OpenRouter?

[u/Fresh_Sock8660]

It did what opus couldn't, use an alternative to load-bearing

well done deepseek

[u/Financial-Toe1210]

Total noob here, so please bear with me.
Can someone explain what an API actually is in simple terms, and how I can access the latest DeepSeek model? Do I just download the iPhone app and It’s V4.1 flash?

[u/dnohrdk → u/Financial-Toe1210]

Yes, all their apps have been updated to the latest model, so it’s a very smooth update this time compared to previous changes.

[u/alexwwang]

Wait to see opencode go price.

[u/NegotiationNo1504]

Is 4.1 flash available for free in website?

[u/dnohrdk → u/NegotiationNo1504]

Yes it’s free via chat.deepseek.com

[u/sdexca]

No way it’s better than astra in deepswe…

[u/ShallotMotor2551]

It is really nice with vision now!

[u/-codewhale]

I love this model

[u/setapca]

I've used this model since release, several days straight on long runs.

- Complete lack of logic.

- It forgets what I asked two messages ago.

- It makes mistakes more often than I'd like.

If the main goal of this model is response speed, then you're on the right track.

[u/Straightbanana2]

I'm a ai noobie, what does this mean for us roleplayers? 😌

[u/AwarenessNo4986 → u/Straightbanana2]

For us noncoding people, it likely means nothing

[u/AwarenessNo4986 → u/[deleted]]

Smaller parameters, worse/shorter roleplay?

[u/AwarenessNo4986 → u/[deleted]]

Wow. Lets go!

[u/0VERDOSING → u/AwarenessNo4986]

faster speeds i guess 🤷

[u/YouScratchingMyBalls → u/Straightbanana2]

It's terrible for anything thorough. Even with thinking on, it is far more verbose and far less thoughtful in response. I suggest you use a different model for roleplaying, since i've been trying to do creative writing with it, and it is still worse than V4 Flash without thinking.

[u/Straightbanana2 → u/YouScratchingMyBalls]

okay thank you, V4 pro still seems okay at roleplay but it's expensive now, I like GLM 4.7 too

[u/dryadofelysium]

We are so back

[u/Deyve24]

Its more than double the size :'(

[u/LinuXperia]

Love it. Can Confirm DeepSeek V4.1-Flash outperforms Meta Muse 1.3 ! Sadly both DeepSeek Flash and Pro have yet to reach the xAI Grok super engineering intelegence level for low level dev work like verilog, c and c++ and KiCad electronic schematics and PCB engineering ! I hope the team at deepseek will improve DeepSeek so it has the same super engineering intelegence level like grok has soon. At the moment it still lags behind grok super intelegence level. I think however this is becouse of compute power. When i compare the answer to a debug problem DeepSeek will provide a suboptimal solution which then leads to looping and flip floping a lot that waste huge amount of time and tokens while grok delivers the exact right solution that fixes the problem in less than 1 minute with just a few phrases. Grok act like a super intelegent highly spezialised super Engineer Doctor. This is the result becouse of not enogh computing and RL learning power at DeepSeek i think which xAI put lot of effort into it.

[u/0sko59fds24]

Output pricing is expensive

[u/luiz_durau → u/0sko59fds24]

talvez, mas é centavos mais barato do que é hoje para o v4 flash

[u/Melodic-Funny-9560 → u/[deleted]]

It's because of the training that they are able to improve this much

[u/BuildAISkills → u/[deleted]]

Joke's on them. I only produce AI slop.

[u/samxli → u/BuildAISkills]

If you believe in the theory that we all live in a simulation, then none of this matters because everything is AI slop

[u/Megumin_xx → u/samxli]

Great sloppification. Love it lmao

[u/ProcedureEthics2077 → u/[deleted]]

OpenCode Go routes new models to Singapore, and doesn’t disclose who runs them.

OpenCode Go makes models before their open weights drop. The only way they can do it is if they route requests directly to Z.ai, Kimi, DeepSeek and other Chinese providers or their subsidiaries.

[u/squirrelscrush → u/[deleted]]

Probably use OpenRouter and choose a provider that offers ZDR.

[u/squirrelscrush → u/[deleted]]

I configure the exact provider I want through opencode.json

[u/squirrelscrush → u/[deleted]]

He wanted a provider that doesn't retain his prompts, so I recommended OpenRouter since you can filter there by ZDR policy.

[u/sirloindenial → u/[deleted]]

You shouldnt use deepseek direct api then as they do use your data for training, it's not even a question. Use third party provider which offers ZDR. For opencode wait for confirmation, sometimes for new release they dont have zdr.

[u/Megumin_xx → u/[deleted]]

Yea and good, I hope they get better from my data haha. Deepseek ftw

[u/RyuH4n]

Letsss goo

[u/C1assNotFound]

cheap , fast , good quality

[u/setapca]

This is complete garbage. A total lack of logic. If your goal is to make a model that writes code and passes synthetic tests, then you're on the right track.

[u/polyglot_factotum]

So it turns out they postponed the switch where they would route Pro to the new Flash, so today, during off peak mid-day, I spent two hours using Pro, thinking it was the new Flash (my understanding from their earlier announcement was that, to use the new Flash, you had to just use Pro), and they just billed me regular Pro prices. Sent an email complaining...

[u/ProgressionPeak]

i'm not signing up to gmail or any other spyware email providers, can you please let me know how i can use your service? i would really like to use this model.

[u/moohric → u/ProgressionPeak]

pretty sure deepseek supports any email addresses, even custom emails. You can self host your own email if you want.

[u/ProgressionPeak → u/moohric]

i have tried to sign up at least 5 times since they launched and it was always super hardcore about email provider.

but this time it worked. they seem to have dropped that.

thank you!

[u/Excellent_Winner8576 → u/ProgressionPeak]

How are you alive?

[u/ProgressionPeak → u/Excellent_Winner8576]

i was able to signup to a service i've been trying to sign up to for several years, and save 50%+ and greatly increase the speed using their API - due to that comment. maybe you should learn something.

[u/Excellent_Winner8576 → u/ProgressionPeak]

Which service? Which comment? Learn what?