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DeepSeek v4.1 Flash 1017 scores 45 in Artificial Analysis

https://artificialanalysis.ai/models/deepseek-v4-1-flash-1017
52•theanonymousone•53m ago

Comments

Imustaskforhelp•35m ago
Really wild that Deepseek's model is 536+16B (passive+active) parameter model and its really comparable to Mimo v2.6 Pro which is the current open source SOTA model which is at (978+42)

This is half the size of Mimo and comes pretty damn close to it and I feel like lots of tasks can be done by it.

I really like its speed as well but its quite verbose from the benchmarks, IMO, this should be tackled in the near future as well. I wonder if specific fine-tuning can happen just to make the model token-efficient.

Also, slightly offtopic though deekseep has good tps but Nvidia's nemotron recent 120B model also has some really crazy tps. I wonder if we are gonna see some really good tps on general hardware.

The best part is that the amount of current innovation happening within the space means that a lot of good ideas are bound to be absorbed by one or the other and we will get many of these improvements handed to us :-D

I think that such engineering is also the engineering of the trade-offs and on what axis to play on. You can be SOTA but with very low speed, extreme price and other factors. I think its interesting to see how each engineering lab approaches these trade-offs and what they pick. But whatever they pick, its best because its more choices for us to pick upon from (especially if its open weights)

serf•21m ago
high tps and braindead model is a dangerous and fun thing to watch.

give it browser access and it's a speed-run to a cloudflare bot detection freak-out in minutes.

clhodapp•15m ago
At risk of being blunt: Why the surprise that a model that activates 12B parameters is faster than one that activates 16B parameters which is faster than one that activates 42B parameters?

It feels like that would be the expected result, all else equal.

Tiberium•24m ago
Somehow GPT 6.1 Sol (medium) is cheaper per task ($0.21 vs $0.26) and faster per task (2.9 vs 4.9 minutes) vs v4.1 Flash 1017 (max). I hope AA adds other reasoning effort results of Deepseek so it'd be more realistic to compare it with other models, because IMO using models at max effort is very unrealistic for most people, they then take a huge amount of time and tokens for a small performance uplift.
kristopolous•19m ago
AA prices are always kind of hand wavy for open models. I mean if you rent a cheap gpu and run inference yourself...or heck, what about a cpu instance with a bunch of ram, you can do that with llama.cpp for under a $1/hour. Ok not that, so are we talking about the median spot price per token from a basket of inference providers? Which ones? They actually vary quite a bit, even on openrouter, for this particular deepseek checkpoint it's between $0.15 and $1.20 ... that's like 8x spread...

They have some math here https://artificialanalysis.ai/methodology but ok how are the prices weighted... and even if you do that 7:2:1 math it doesnt match the providers. Specifically this model: https://artificialanalysis.ai/models/deepseek-v4-1-flash-101... doesn't match https://deepinfra.com/deepseek-ai/DeepSeek-V4.1-Flash-1017

It's an especially strange metric with open-weights decision models. I mean I can run those on my laptop ... cost is very abstract there.

Tiberium•18m ago
I was quite sure they use the API pricing (by default) for open weight models that have official providers? Deepseek does have their own API.
aliljet•14m ago
What I really want to know for models like this is if I can have them run on really lame consumer hardware (consider 128gb of ram, 2080ti) with extremely low TPS, but with reasonable enough intelligence that you can walk away and expect something to bake really nicely while you sleep.

Perhaps I'm losing touch with the edge, but it doesn't seem like this is quite possible with the hardware baseline I'm talking about...

MaxikCZ•11m ago
"Model like this" not sute about ds v4.1 but qwen3.8 flash next is currently running on 10gb 3080 + 64 gb ddr5 ram at respectable 40-70t/s with 1200pp at max context
lhl•8m ago
You can get something relatively capable and usable with your configuration and Strata: https://github.com/Niko1221/Strata
akmarinov•6m ago
You sure can, https://github.com/lxe/dsx gets you this deepseek on 2x3090s and 128 gb ram at about 30 t/s

At around 75% of the full model intelligence

twelvechairs•11m ago
Mimo 2.6 pro scores 46 and is half the price (though a lot less throughput). Im not sure why nobody has made the same fuss around it
RussianCow•14m ago
> It's an especially strange metric with open-weights decision models. I mean I can run those on my laptop ... cost is very abstract there.

Almost no one is running DeepSeek V4.1 Flash on their laptop, so comparing based on API pricing seems perfectly reasonable to me.

throwawaythekey•7m ago
I think they need another version of the charts with "subscription prices" at least. Lots of people are not paying API rates.
kadoban•15m ago
I wonder what AA's funding and affiliations are. I get the sense that they have their hand on the scale at least a bit.
andai•5m ago
Yeah, this always bugged me. Then again, unlike American models, surely Chinese models are far too expensive for them to test them at every difficulty ;)

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DeepSeek v4.1 Flash 1017 scores 45 in Artificial Analysis

https://artificialanalysis.ai/models/deepseek-v4-1-flash-1017
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