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  • Hacker News
  • my daily model now
    by kindlejiang
  • 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)

    by Imustaskforhelp
  • 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
    by twelvechairs
  • Just want to note that this model still does not work (read: sucks) for recognizing sheet music.

    The only model that works for me is Astra, but it's expensive.

    by amelius
  • It's too bad they couldn't make it smaller, but still very nice improvement.

    The new model:

    DeepSeek V4.1 Flash 1017 (Max) 552B A16B

    Matches

    GLM 5.3 753B A40B

    MiMo 1T A42B

    Nicely done!

    by spwa4
  • 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...

    by aliljet
  • 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.
    by Tiberium
  • The old DeepSeek V4.1 Flash has been my workhorse model for the past month (after running tests comparing w/ Qwen 3.8 Flash Next, GLM 5.3 Flash, MiMo 2.6 Flash (including the MOPD fix)) and I've run tens of billions of tokens through it and pushed it fairly hard in both private internal benchmarking and in my own workloads to figure out where it's strong/weak.

    Partly because I run it on very fast local infra (200+ tok/s) and partly because I'm guaranteed it's not being changed on me, I've generally preferred it over proprietary subscription models for daily tasks, as it seems about as capable at mid-level tasks (I reserve Astra/Opus mostly for planning/review).

    I've replaced the previous model with 1017, and while it's early, a few observations:

    - It's CoT has changed dramatically. I find the heavy Astra distillation claims to be plausible

    - It has strong benchmarks scores, and from what I've seen online it's much better at 3D games and such, but that's not so relevant for my work. On my internal evals it is more token efficient, but it actually doesn't score any higher than the previous model

    - It's only been a couple days, but it does seem a bit more focused and reliable. DS4 0731 and DS4.1 have been a bit sloppy (as in not-careful, although they did tend to fall into Claudisms as well), and 1017 seems to be a bit sharper.

    - I'm running it through some more challenging work, but I'm not sure if it's really at GLM-5.3 level, especially for cyber/RE/hardware poking, which GLM has excelled at.

    by lhl

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