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  • bel8 2 hours

    Great! I have been using DeepSeek 4 Flash high for everything lately.

    First accessible model with useable 1 million context window for me.

  • 1 hours

  • tacone 15 minutes

    TIL I might be able to use DeepSeek directly from VS Copilot https://github.com/Vizards/deepseek-v4-for-copilot (disclaimer: I have to try it yet).

  • Havoc 2 hours

    Neat. I like DS for secondary checks on code. Sometimes spots things other models don't

  • 6 hours

  • dburkland 1 hours

    I've had a ton of success when pairing Opus 4.7 for planning w/ DeepSeek V4 Flash in opencode. Best part is DeepSeek V4 Flash is Free through opencode Zen.

  • vladgur 1 hours

    Which models do folks use for openclaw nowadays

  • gertlabs 46 minutes

    Even with the V4 Pro discount, the V4 Flash model gives you the best performance per unit dollar, and better performance overall for agentic, tool-heavy workloads. V4 Pro is smarter in one-shot reasoning, but at a significant speed difference. The performance, cost, and speed, makes V4 Flash our top flash model today by far.

    Data at https://gertlabs.com/rankings

  • sourcecodeplz 1 hours

    Honestly I haven't even tried the Pro model. Flash was just so much more than I expected I just keep working with it. Thank you deepseek team

  • velomash 1 hours

    I found that DSV4 wasn't as cheap as its token price. It burns tokens at a pretty high rate

  • rvz 50 minutes

    Someone can afford to race everyone to zero.

    Remember Jevons paradox? [0] It isn't at Anthropic or Microsoft [0], but it is at DeepSeek.

    [0] https://www.thelowdownblog.com/2026/05/microsoft-cancels-int...

  • guelo 1 hours

    Even at these prices I find claude and codex subscriptions to be cheaper than per-token pricing when my usage is hovering around the session limits. I guess the subscriptions are heavily subsidized.

  • cold_harbor 2 hours

    their MLA architecture cuts KV cache by ~5-13x vs standard attention. that's why inference is actually cheaper to run, not just a price war to gain market share.

    vitorsr 10 minutes

    Yes. The discount was most likely a "post-market trial" of how efficient the caching works for the new generation models.

    hmaddipatla 1 hours

    [dead]

    zozbot234 2 hours

    That's also a game changer for local inference. It unlocks long contexts, batched inference and storing the KV cache to disk on ordinary consumer platforms.

  • doctoboggan 1 hours

    I am more worried about accidental data leak (agent reading env file for example) with the Chinese hosted models compared to the US hosted models. Am I wrong to suspect that the Chinese government might be more likely to scan all chats and save useful information compared to the US government or company?

    I hesitated to even post this comment as it sounds biased and xenophobic. I would love for someone to convince me I am wrong. Does anyone have any insight into the company behind deepseek hosting, and what their history of respecting data privacy is?

    wkcheng 1 hours

    Just use it through something like Azure. They host the entire model and serve it from the US. I'm sure that there are other providers like this.

    We use it that way and it works great.

    nivekney 1 hours

    User data integrity definitely should be a concern. It's also known that regulations is being outpaced, so the cost of being/using frontier products is a double-edged sword for sure.

    giwook 1 hours

    I think there is a nonzero chance of that happening. Beijing could at any point decide that DeepSeek has become too powerful and/or is a major export and start to insert themselves (assuming they have not already).

    There are widespread reports about how foreign actors (not limited to China) have infiltrated critical networks across many industries in the US en masse and are simply waiting for the right time to exploit them. Frontier models are simply another attack vector (and much more easily exploitable when you think about it).

    The fact is that there is potential for this with any cloud-hosted model, whether it is intentional by the actual company building the models or a malicious actor is able to exploit a vulnerability.

    dualvariable 28 minutes

    I'm not important enough for anyone in China to go out of their way to attack me. And DeepSeek has to maintain a sufficient level of trust so that users keep using their platform--they can't just act like a keylogger attacking everyone's crypto wallets or trust collapses.

    If I was working on something that the Chinese government considered of strategic importance, then I would certainly be worried about it. But I don't do that.

    I'm much more worried about techbros in this country using their LLMs to extensively profile me and produce something vastly more dystopian in this country than the real or imagined social credit scores in China. The people trying to convince you that the Chinese government are the people you should be worried about (as an individual in the United States) are probably the people you really need to be worried about.

    jdgoesmarching 1 hours

    More likely? US tech leaders have been fully capitulating to the surveillance state for over a decade. Why do I care what China does with my data? I don’t live in China and never plan to.

    The tech bro threat model has always been pure jingoism and xenophobia. Ironically, the worst thing a Chinese company has done with my data is sell Tiktok to an American technofascist.

    jug 1 hours

    This is a risk although then this is fortunately a model that isn't tied to Chinese hosting. But indeed something to consider if using straight DeepSeek.com.

    3s 1 hours

    It's not an unreasonable concern, which is why most US companies prefer to go with AWS bedrock, or even one of the AI labs, and typically request zero data retention agreements. But leaking is a concern no matter where it's hosted, it's just the incentives that change IMO. For example, the labs do scan every chat and train on data not covered under enterprise ZDR agreements. Law enforcement can request access to all user data with a valid warrant or in an emergency context [1]

    If you're interested in trying DeepSeek V4 privately, you can try Tinfoil (tinfoil.sh) where all models are hosted in an attested secure hardware enclave, making the inference end-to-end private. Full disclosure: I'm one of the cofounders.

    [1] https://cdn.openai.com/trust-and-transparency/openai-law-enf...

    opsnooperfax 33 minutes

    I would not be shocked if they do that. I would not be terribly shocked that the US-headquartered models do that for another government either. As far as data confidentiality goes, I wouldn’t hold my breath. Microsoft checks all those enterprise boxes, right? Yet, Azure still gets breached once in a while.

  • Sphax 2 hours

    That is some insane value. I've been using GLM Coding Plan Max with GLM 5.1 for a while and i've tested DeepSeek V4 Pro maybe for 3 weeks now and I found it to be better than GLM 5.1 for complex coding tasks. I've used 65m tokens and with that price it cost me $1.5, that's really cheap.

    DeathArrow 1 hours

    I think Deepseek uses much more tokens than other models.

  • wg0 2 hours

    If you have not tried DeepdeekV4 you're missing out. The pricing makes it unbelievably good.

    The chains of thought for Deepseek are very very interesting reads. Open code won't show them but do read them and you'll be surprised at how underrated the model is.

    My model usage is very low but I still do pay directly to Deepseek regularly as my tribute and contribution to them open sourcing their models as my gratitude and showing support for what I deem positive for overall social good.

    abyssin 1 hours

    It’s good and cheap, but don’t talk about politics to it or it might trigger some sort of censorship rule. You can see it think, then suddenly erase everything and suggest to switch to another subject, without explaining anything. I also had it output some sort of generic message about how the news outlets are in the service of the people. Both times I was surprised because I didn’t make any sensitive requests, neither illegal nor subversive. But it was a remotely political topic and it was enough. There was something both chilling and refreshing about it, since censorship in the west is usually more subtle.

    tequila_shot 1 hours

    Yes - the model is REALLY good. I try Claude at work and Deepseek personally and this is the only model that works without trying to actively bankcrypt me.

    seemaze 1 hours

    Perhaps unintentional, but I find 'bankrypt' to be a thoroughly interesting portmonteau.

    I'm not sure if it's when you run out of crypto, or when your bank gets hit by ransomeware.

  • kingjimmy 2 hours

    is this the Huawei chip difference?

    chvid 54 minutes

    That is probably why they were a few months delayed. But could be interesting to see their hosting / network / colocation setup.

  • Reubend 2 hours

    Props to them. That makes DeepSeek v4 Pro extremely cheap compared to others, even in the same category. Look at these prices per million outputs tokens:

    DeepSeek V4 Pro: $0.87

    Qwen 3.7 Max: $7.50

    Grok 4.3: $2.50

    GLM 1.5: $3.08

    Opus 4.7: $25.00

    GPT-5.5: $30.00

    Arcuru 2 hours

    It's actually even cheaper when you look at the cache read costs. Those costs can dominate in agent workflows and DeepSeek's cost for cache reads is insanely low comparatively. At $.003626/M tokens, the cheapest other thing on your list is >$.2/M tokens. That's on the scale of 100x cheaper.

    marksully 58 minutes

    *GLM 5.1

    1 hours

    onlyrealcuzzo 15 minutes

    And they don't make the model worse once you have a subscription!

    It doesn't matter how good Opus is if 2 months into your subscription they make it worse than GPT 3 to save money.

  • margorczynski 1 hours

    Maybe the Chinese are playing the long game by trying to bankrupt the US competition? Because there's no way this is financially viable.

    kajman 14 minutes

    Maybe not. I don't see how US inference providers can compete anyway with commoditized models. Costs are out of control here and the infrastructure is way worse.

    tencentshill 1 hours

    Federal ban incoming then. They did it with cars already.

    ecommerceguy 1 hours

    Small team, cheap electricity, very efficient models. Many western companies operate at a loss to gain market share. Why can't the Chinese?

    missedthecue 47 minutes

    DeepSeek hasn't raised enough money to be actively selling tokens at a loss. They have a small team, extremely low overhead relative to other labs, operate in a place with the essentially the cheapest commercial electricity rates in the world, and their architecture lends itself very well to cheap inference.

    jdgoesmarching 1 hours

    If you think heavily subsidizing AI models isn’t financially viable, I have some bad news for you about US AI companies.

    Deepseek has made some incredible advancements in model efficiency, and more importantly actually publishes those advancements so everyone can benefit from them.

    zozbot234 1 hours

    US suppliers are fine and won't go bankrupt, they can just focus on serving bigger "Pro" class models from their large datacenters. In fact cheap AI makes the bigger and smarter models more useful because it's smart enough to draft a clear question to the model, which helps minimize wasted tokens.

    odie5533 1 hours

    Inference is cheap. I bet the financials of these Chinese companies are much saner looking than any of the big US AI companies which are bloated by investors.

    raincole 9 minutes

    DeepSeek is very likely selling tokens at a loss. There're many cloud providers that provide you with DeepSeek V4 Pro via API, and those services at least twice as expensive as DeepSeek itself.

  • wolttam 55 minutes

    I was hoping they were going to do this.

    I'll keep running Flash locally for the stuff I care about data privacy, but the value of Pro through their API is unreal for anything else (and I want to give them my training data as long as they keep putting out open models).

  • belinder 2 hours

    Anyone using deepseek through a gateway (not sure if right term) so there's no data retention? At work we're going through a few hundred million tokens a day in our app (using anthropic models), and we're looking for something significantly cheaper

    wkcheng 1 hours

    Use it through Azure! Azure hosts DeepseekV4-Pro and DeepseekV4-Flash themselves. We're using it and it works great.

    You don't get the discount that Deepseek is providing, but it's still a cheap model (v4-pro is cheaper than sonnet)

    bel8 2 hours

    opencode allegedly has contractual no-data-retention policies with their providers.

    I recall reading about that in an issue or in their Discord server.

    But I would contact them formally to verify that.

    BeetleB 37 minutes

    They claim it on their OpenCode Zen page.

    What's frustrating is that they give no information on who the provider(s) are!

    mlcruz 2 hours

    I have been using deepseek via deepinfra, afaik they provide no data retention. Im probably going to deploy the full model on their infra instead of paying credits at some point, so far the experience has been pretty good

    goobatrooba 1 hours

    But do these prices apply if you use a third party go-between? I would expect they then charge their own prices?

  • onlyrealcuzzo 59 minutes

    I just canceled Claude Code and Codex today.

    RIP.

    Claude literally refuses to finish tasks in auto mode and just keeps saying, now is a good stopping point, when it's 1% done.

    Codex literally does not follow directions.

    May as well pay 1/20th the price.

    Claude seems to have something that looks at how long you've been a customer and then just massively degrades quality.

    When I started my subscription, Claude had none of these problems.

    When I first started using Codex, it followed directions and performed well (and fast).

    2 months into subscriptions they are both unusably terrible.

    dawnerd 12 minutes

    That was my experience with Claude code too. Someone will come and tell you you're doing it wrong. Hard to do it right when it'll just stop randomly, especially when it ends with something like 'let me know if you want me to continue!'.

    eiek 38 minutes

    They’re playing games behind the scenes to massage and manage their earnings.

    China is gonna win long term there’s no doubt. The fact that the American firms haven’t created immense escape velocity despite the disparity in spending is quite telling.

    zozbot234 18 minutes

    The nice thing about hosting inference locally is that you can be sure you're not being rug-pulled in any way. This doesn't really "help" China win though, you're just freeloading on them making their weights openly available.

  • alyxya 2 hours

    Once they have their own coding agent which they seem to be working towards, I may start predominantly using their models. They seem to be doing all the "right" things, open sourcing models, publishing research, and keeping prices low for everyone.

    LaurensBER 34 minutes

    It works very well with OpenCode. My team keeps hitting the 5h limits on other subscriptions and it's pretty good to have Deepseek as a backup. I just put 50 bucks on there and it feels like it'll never run out.

    It's not good enough to fully replace any of the frontier models yet but it's definitely great to have as a backup!

    lambda 2 hours

    Why do you need them to provide a coding agent? Just use their model with any off the shelf coding agent. I happen to prefer Pi, but use whatever works for you.

    hootz 2 hours

    Yeah, I'm using Pi with their models through an OpenCode Go subscription and it works pretty well. 10 bucks and V4-Flash is virtually infinite.

    apitman 1 hours

    What's the best way to use it with Pi, OpenRouter?

    satvikpendem 1 hours

    RL with the harness inputs and outputs of users is one of the primary improvers of model performance, a self perpetuating flywheel.

    alyxya 1 hours

    I probably have an unfounded assumption that whatever coding agent they make will work really well with their models, better than external harnesses. I don't have a good sense for how all the model + harness combinations compare, nor any good way to compare them myself, but generally believe model companies train their models to work best with their own harness.

    wolttam 52 minutes

    I've noticed that models have gotten less finicky with this over time. Harnesses don't need to be complex to get good coding performance from models, they just need to implement some sane primitives for code exploration and editing.

    tequila_shot 1 hours

    You no longer need "their coding agent". You can hook up claude code to use Deepseek. Works perfectly.

    zozbot234 1 hours

    antirez's ds4-agent works quite fine. It runs on any Apple Silicon device with 96GB RAM or more.

    raincole 14 minutes

    All the major coding agents already support DeepSeek.

    cultofmetatron 1 hours

    open code works with them today. I've been using it fulltime for 2 weeks so far.

    sunaookami 1 hours

    Using it with Pi and can only report good thing so far. I'm very impressed by how good it is (also it's way slower than Claude Sonnet and GPT-5.5 and often thinks "too much" before starting).

    ammar_x 1 hours

    You can use V4 Pro with Claude Code [1].

    I tried it and it's impressive.

    [1]: https://api-docs.deepseek.com/quick_start/agent_integrations...

    thisisit 53 minutes

    I am curious - Is there a way to switch between models depending on the task? Because I believe Deepseek V4 is not multimodal and it will be good to switch back to Claude if vision or other capabilities are required.

    wiradikusuma 48 minutes

    That's interesting. I thought Claude Code is not as good, therefore people want to use Claude model with other alternatives. This is the other way around.

    Which begs the question, regardless of the model, which Claude Code alternative is better? (I keep saying "Claude Code alternative" because I don't know the term... LLM CLI?)

    wrs 38 minutes

    The common term for a tool that wraps an LLM with a workflow is “harness”.

    35 minutes

    Scarbutt 1 hours

    Surprised Anthropic hasn't done anything to restrict Claude Code from using other providers.

    cortesoft 1 hours

    At this point in the AI wars, it is probably better to have more users of Claude code rather than restrict which LLMs it can connect to. Claude code is probably (currently at least) stickier than the LLM model itself. Getting people into the Claude code ecosystem is worth it.

    Later, they can always lock it down more or add Claude LLM only features to it.

    wolttam 54 minutes

    The value of Claude Code the harness isn't that great. There's a lot of other good harnesses out there.

    chandureddyvari 26 minutes

    What’s your favourite harness? Is there any benchmarks for harness like LLMs have for swe verified?

    rane 14 minutes

    I thought so, and then I tried Opencode and Codex and started to appreciate Claude Code a lot more. They've actually done great work the small details.

    crooked-v 24 minutes

    And it gets dragged down by Anthropic actively injecting unhelpful things into prompts without telling users about them (https://github.com/anthropics/claude-code/issues/58262).

    koolba 46 minutes

    Good or better? Curious which would be in either bucket.

    wolttam 41 minutes

    Probably a matter of taste. I prefer the harness I wrote, I don't want to go near Anthropic's bloated mess of a harness with a 10-meter pole.