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  • Hacker News
  • Absolutely insane performance and benchmark results. It's beating Opus 5 and Sol 5.6 https://tokenstead.ai/models/deepseek-v4-1-flash
    by cdnsteve
  • If it's actually comparable in practice that would be very impressive. I am yet to try a DeepSeek model.

    From the pricing, it's 3x cheaper on cache, 1/3 more expensive on input, and equal on output compared to GPT 5.6 Luna.

    I would love to compare these two at work, where I pay API prices.

    At home I will stick to Astra and Fable.

    by user43928
  • DeepSeek Harness, install it, thank me later. You won't believe the productivity gains for just pennies

    https://deepseek.com/harness/en/

    by Kuyawa
  • It's web only? No cli?
    by toasty228
  • What’s better about it the say oh-my-pi?
    by _aavaa_
  • Are you using the harness with openrouter? what's your preferred model provider?
    by krat0sprakhar
  • How does it compare against the Pi harness, which I thought was the unofficial harness champion so far, in your workloads?
    by kangalioo
  • OpenCode Go is currently running a 4x usage promo on DeepSeek v4.1 flash, not a bad way to get your feet wet (even if their cache hit prices are probably still very sub-optimal)
    by swiftcoder
  • Last time I tried this service they served me lobotomized models with horrible latency and high error rate
    by pprotas
  • Hit me up if anyone wants extra $5 free usage with my referral code
    by cdnsteve
  • I wouldn't trust OpenCode Go with my lunch after the shit-sandwich they served us with horrible V4 quants and 0 transparency. Then blaming it on their partners.
    by kroaton
  • For small projects and hobby-programming, OpenCode Go is great, and its model performance is quite strong in my experience. Every time it's mentioned, there are people loudly claiming that it has terrible, quantized models, though this is never backed with data. I'm suspicious that this is being propagated by those whose financial interests are harmed by the existence of a cheap and decent coding subscription.
    by semilin
  • https://xcancel.com/deepseek_ai/status/2097930608790167907

    Should be the link ( now that it works again! :) )

    by mentalgear
  • I wish AI companies wouldn't post their primary announcements on fElon-enshittified Twitter.

    Use Bluesky or, I don't know, have a news site. They could vibecode one in minutes.

    by ValentineC
  • I've run some evals on my puzzle game https://redactle.net/llm-leaderboard

    Deepseek v4.1 flash is able to solve it some of the time. I've found it burns through more reasoning tokens than any other model. Google models like Gemini 3.8 Flash are still dominating and is able to one-shot most evals while being the cheapest.

    I'm curious what other unique evals people are running.

    by pampas
  • A colleague of mine has a strategy game to compare language models, 4.1 scores pretty high in this:

    https://clankerbattle.com/

    by pimeys
  • Does it move the needle on high reasoning?
    by cbg0
  • Since it has low activated parameter count but huge total parameter count it needs more tokens to move the relevant information into the context.
    by mordae
  • It's so bizarre having a low score be GOOD. It's like reverse intuition. Shouldn't it be called `score error` or something along those lines?
    by gandreani
  • Got some fun if slightly janky looking pelicans out of this one: https://tools.simonwillison.net/markdown-svg-renderer?url=ht...

    I ran it on all seven reasoning levels supported by OpenRouter, but the reasoning token counts suggest to me that it doesn't actually support seven different levels. This is one of my biggest problems with OpenRouter - their abstraction layer makes reasoning levels harder to reason about.

      reasoning_level  reasoning_tokens

  none             0
  minimal          6,520
  low              11,873
  medium           5,678
  high             9,779
  xhigh            10,197
  max              13,386
    Update: explained here: https://api-docs.deepseek.com/guides/thinking_mode/

    That says it supports three levels - low, high, max, and maps them out like this:

      minimal   low
  low       low
  medium    high
  high      high
  xhigh     high
  max       max
  ultra     max
    (But it looks like "none" is a valid option too.)
    by simonw
  • Some OpenRouter providers do not implement reasoning levels for these models correctly at all: https://www.reddit.com/r/DeepSeek/comments/1vdqjwr/openroute...

    If you're going to use OpenRouter to test reasoning levels, always make sure you are locking to the official provider instead of third party providers.

    by coder543
  • Initial impressions: this is a really strong model and the fact that they reduced prices at the same time makes it an awesome backup model to use when your primary subscription runs out and you need to bridge a few days before it resets.

    It also seems to be more willing to just do whatever you ask of it. My favourite benchmark for this is to ask it to download a rom for an old game, that I own. Legal in my juristiction but the US models (except Grok) have a tendency to refuse it.

    by LaurensBER
  • I do wonder how long this will last. I bet in a few month or years they all have similar ~legal~ blocks.
    by Mashimo
  • I use this for automated bug triage, just gets all unique error messages every night and tries to find the bug, for this kind of work it's great.
    by mzhaase
  • > My favourite benchmark for this is to ask it to download a rom for an old game

    Even easier: just have them review a large codebase of yours that accidentally has a OOB access bug. Even with no consequences and even if the codebase is truly yours you get blocked.

    And of course "find vulnerabilities in..." prompts are out of the question, whereas Chinese models happily oblige.

    by TuxSH
  • I think it's very clear that DeepSeek is obviously the best AI lab in the world.

    Every model release seems like it packed with wonderful research and advancements.

    by impulser_
  • On top of that, they don't make all BS statements or malicious tricks used by some unnamed entities.
    by nicce
  • They're likely operating with 100x less compute than OpenAI.
    by aurareturn
  • Considering the fact that Google/Anthropic/OpenAI have WAY more compute and the race is this close, it's obvious that DeepSeek/GLM/Qwen teams are better or we're approaching a wall in terms of progress.
    by kroaton
  • > I think it's very clear that DeepSeek is obviously the best AI lab in the world.

    It's pretty clear they're the best at what they're optimizing for - which does seem aligned with what a lot of people on HN want from models - but not everyone...

    by onlyrealcuzzo