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DeepSeek V4 Flash 0731 Intelligence, Performance and Price Analysis
https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731 https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731
- lostmsu 3mo agohttps://artificialanalysis.ai/models/deepseek-v4-flash https://artificialanalysis.ai/models/deepseek-v4-flash
- monooso 3mo ago404. I believe this is the correct URL: https://artificialanalysis.ai/models/deepseek-v4-flash https://artificialanalysis.ai/models/deepseek-v4-flash
- theanonymousone 3mo agoYes, sorry, I went into anti-procrastination mode after I posted. I hope someone fixes it.
- theanonymousone 3mo ago@dang is that how we call you?
- WithinReason 3mo agono, like this: hn@ycombinator.com
- brynnbee 3mo agoSay HN is turning into reddit three times in the mirror to summon him
- mlmonkey 3mo agoYou don't have to call @dang. S/he automagically appears whenever needed, does the needful and disappears.
- WithinReason 3mo agoAlready beat Luna on price/task, by about 2x: https://artificialanalysis.ai/models/deepseek-v4-flash?intelligence-comparison=intelligence-vs-cost-per-task#intelligence-comparisons https://artificialanalysis.ai/models/deepseek-v4-flash?intel...
- spwa4 3mo agoMaybe I'm reading that incorrectly, but it seems to me the cost is on the X-axis. First, your direct comparison, Deepseek V4 Flash 0731 (max effort) $0.03 (rounded up) per task @ index 50. OpenAI Luna: * high effort $0.03 (rounded down) @ index 46 * xhigh effort $0.04 @ index 49 * max effort $0.07 @ index 51 So I would say a fair statement would be "OpenAI Luna between 2x and 3x the price of Deepseek Flash, what you get is 2 to 5 times faster inference" The cheapest OpenAI model that beats it is OpenAI Luna (max effort) $0.07 @ index 51 (if you take the rounding out it summarizes to triple the price for similar performance), but still close to 3x faster. And can SOMEONE please tell artificialanalysis that using dark blue for both Deepseek AND OpenAI is an especially unfortunate choice of colors, especially today?
- andai 3mo agoFor anything substantial, you'd want a bigger model anyway. For simple tasks, they're already saturated, and you'd prefer the faster model, so that you can have a realtime/interactive-ish experience. Or to put it bluntly, it's cheaper if you don't value your time. That goes for smaller models in general -- need more handholding, more correcting -- but the Chinese ones are slower on top of that. As for speed, Sol on Low is faster than Luna on most settings.
- seaal 3mo ago>And can SOMEONE please tell artificialanalysis that using dark blue for both Deepseek AND OpenAI is an especially unfortunate choice of colors, especially today? uhh openai is dark gray: `rgb(31, 31, 31)` and i'm pretty sure it always has been?
- fuck_google 2mo ago[dead]
- embedding-shape 3mo agoIs the "Output Tokens per Intelligence Index Task" data actually correct or am I reading it wrong? It says there that "Kimi K3 (Max)" would think/reason less than than deepseek-v4-flash, and a whole bunch of other models, like less than hy3 and even gpt-oss-120b, but in my experience, K3 is probably the model that thinks/reasons the longest of all of these. Am I just using it on tasks that makes it go on forever vs these benchmarks that are short&sweet, or something like that? I've been throwing bunch of identical prompts at different models at the same time, and when comparing hy3 and K3 I've never once had K3 reason less than hy3, as just one anecdotal data point.
- Lwerewolf 3mo agoJust tried the preview on my little test codebase and a "check this out and tell me what you think" prompt used over double the tokens of the previous iteration, but it was a lot more eager as well. Kind of reminds me of the new laguna (s 2.1).
- madikz 3mo ago[flagged]
- BedVibe_Studios 3mo ago[flagged]
- throwaw12 3mo agoIf deepseek v4 flash is beating DeepSeek V4 Pro, can we expect new V4 Pro which is on par with Opus 5 in couple weeks (even better if it beats Opus)?
- jmathai 3mo agoI’ve been using v4 flash for an app I’m building [1] and it’s amazing how cost effective and good it is coming from having always used gpt, opus and sonnet models. It’s so cost effective I can offer a generous free tier since my goal isn’t to make money with it. [1] https://trysojourn.app https://trysojourn.app
- weiliddat 3mo agoI get where you're coming from, and the intent to make it easier for people to find examples and verses, but there's a fine line with LLMs giving you answers, is that it's interpreting it in some form. Doesn't that run counter to prevailing ideology, that you're meant to either struggle with the materials / seek understanding yourself, or have your religious leaders interpret/receive those insights?
- jmathai 3mo agoYou’re correct. The hard line for me is ensuring that any scripture presented to the user is verified correct. LLMs can’t be trusted in this regard. One feature of the app is that all scripture is verified and what’s show to the user doesn’t come from the LLM at all and instead a trusted source. I think exploring scripture this way does not alleviate you from struggling to learn and apply it. It hasn’t for me.
- weiliddat 3mo agoI don't necessarily mean reguritating it, but choosing which part of the scripture to surface to the user is already some interpretation/choice. Even the devil can quote scripture (I'm playing the devil's advocate here).
- qtalen 3mo agoUnfortunately, DeepSeek Flash still doesn’t support multimodal; otherwise, it would offer better value than GPT 5.6 SOL.
- yonisto 3mo agoDoes it already know the answer to what happen at Tiananmen Square? Or still avoiding it?
- xbmcuser 3mo agoWho cares if it is programming correctly I would be more worried about it not doing things like find security bugs because US or Chinese government does not want to. Which LLM is more likely to do that?
- edot 3mo agoIt’s open weight, you can (or you can wait for someone else to) uncensor it. We shouldn’t be upset at the researchers making this for the mandates their government puts on them.
- avazhi 3mo agoWestern models censor just as much shit as the Chinese models do, big guy, it’s just different material. While we should be pushing for universal fully uncensored models, this comment is lazy and trite at this point. But you already know that.
- SJMG 3mo agoOh? What are the American model censorship tells?
- zawaideh 3mo agoGenocide in Gaza...
- shalom1112 3mo ago[dead]
- cogman10 3mo agoI find that ChatGPT isn't censoring, but it is being pretty weaselly. If you ask it "is there genocide in gaza". It will say no but also say that a lot of organizations classify it as such. It will then say "it's highly disputed". If you poke it just a few times, however, you get to the point where it will eventually say (paraphrasing) that basically only Israel, the US state department, and the ICJ say it's not a genocide. That is to say that it's framing it as some sort of tricky complex question when it's not. And when interrogated, it basically admits that the only people who dispute it are Israel and it's supporters.
- k1e 3mo agoNo speed (tokens/s) benchmarks?
- baalimago 3mo agoNew Deepseek models are like Christmas for me. Really big fan of low cost API models, noone does it better than DS. Until VRAM price is low enough to run models locally, this is the way to go. The subsidized subscription model won't last, API pricing "feels" closer to a true sustainable business model.
- VulgarExigency 3mo agoI would bet that Deepseek API pricing is still more cost effective per token than the subscriptions. With the increase in quality Deepseek Flash just got (in my personal testing so far, it seems to have improved a lot at following instructions, and has become more proactive), there really isn’t anything that can match it in terms of cost effectiveness.
- rapind 3mo agoThe issue for me is the data privacy if you're using their hosted prices, because you cannot opt out of data collection (and I'm not sure how you'd legally follow up on it if they did offer it, but didn't actually follow through). That means all of my code is being retained for training. I've used it in some open source code though, and loved how fast it was. My mind is changing on how valuable my code actually is though... it's the complete picture, how it's put together, the design, the UI, the attention to detail that's the real value.
- nodja 3mo agoI'm not a heavy user of agentic coding, but still use them quite a bit for some automation here and there. I've been going around shopping all the ~$10 subscriptions and I finally settled on openrouter + ds4 pro. The more intensive days cost me $1 and I set a $2 weekly limit which I've never hit the past 3 weeks, to me it's way cheaper than most subscriptions and I don't have to worry about maximizing my weekly quota/resets.
- jingpostmedia 3mo ago[flagged]
- deleted 3mo ago
- paoliniluis 3mo agoWould be awesome to see a new ds4 release. Having so much in something that can be run locally is mind blowing
- try-working 3mo agoNow let's see Dario's price cut.
- _ache_ 3mo agoI think, it's the end of Anthropic. They can't compete, they have bills. By the end of the year, if they can't react, it's game over. Maybe US clients could be a little patriotic here, but money is money. They won't give them free money forever.
- try-working 3mo agoyep. I've been saying for month that exactly this will happen with DeepSeek and Kimi K3, and margins will erode, and Anthropic will fail to IPO.
- NooneAtAll3 3mo agowhat a horribly heavy and resource-consuming website...
- WithinReason 3mo agowe need a benchmark website benchmark
- theanonymousone 3mo agoA benchmark website to benchmark benchmark websites? Or a benchmark to benchmark benchmarks?
- NooneAtAll3 3mo agowebsite that benchmarks benchmarks is benchmark benchmark website benchmark website benchmark is indeed a benchmark that benchmarks websites with benchmarks (but it can be shown outside websites as well, it's not picky)
- bigmadshoe 3mo agoIt looks awful on mobile too. Barely readable in many parts.
- epolanski 3mo agoI was writing a benchmark for my own harness, and DS4 flash answers as well as Fable 5 on any query. The specific agent is focused on getting precise and on point answers about a codebase. The starting point was nowhere near. E.g. asked why was X implemented in a certain way it would give bogus answers when the real answer was that there was no reason at all. The benchmark included more than 50 questions or different difficulty. But when the agent was improved in its prompt and rooting it was impossible to have it perform worse than closed source sota. Just to say that the quality of the harness is as important as agents intelligence.
- quikoa 3mo agoWhat does your harness do to squeeze that value out of DS4 flash if you don't mind sharing? It'd interesting how it compares to other harnesses (even if it's a qualitative assessment instead of quantitative).
- freakynit 3mo agoI will get downvoted, but fck it. The ban on these open models is coming within weeks, if not days. As usual, the excuse will be "national security".
- UltraSane 3mo agoHow exactly will they ban them?
- freakynit 3mo agoBy making companies using them "toxic" to touch. For example: no government contract to any company who uses even one vendor in it's entire chain of dependencies, who uses such open models. They can extend this further by laying more conditions, such as: any company dealing in this-this field can only use models "officially" approved as "safe". Rest you can guess how easy it would be to get that "safe" rating for such open models.
- tyfon 3mo agoSo now the US companies will be stuck on expensive models while the rest of the world can do things much more cost effective. I'm not sure the outcome would be beneficial for the US as a whole here. But perhaps that is not their priority.
- freakynit 3mo agoThere are many proxy-ways to bypass such restrictions. Of course, the costs will be higher. Providers will spun-up.
- qphe95 3mo agoCan't wait to distill Deepseek v4 flash to America-1
- UltraSane 3mo agoCompanies could self-host models in secret. It would be hard to stop.
- SomeHacker44 3mo ago> DeepSeek V4 Flash 0731 (Reasoning, Max Effort) is amongst the leading models in intelligence and well priced when comparing to other models of similar price. Similar price? Doesn't make sense. Maybe they meant power, capability or speed?
- net01 3mo agohere it is on openrouter https://openrouter.ai/deepseek/deepseek-v4-flash-0731 https://openrouter.ai/deepseek/deepseek-v4-flash-0731
- k__ 3mo agoHalf OT: Why do the cache hit rates seem to vary so much between harnesses? I use pi, which is very minimalist, and I get a hit rate of ~99%. Paying like $1 a day for Flash. Yet, the hit rate mentioned on OpenRouter is only ~79%.
- drob518 3mo agoYes hit rate does vary by harness and by how you use the harness. If you use subagents, for instance, they will start with a whole new context created by the main agent, and this will not be cached. If you mostly use the main agent with Pi, you’ll have high hit rates and low costs. Sometimes agents do “cache busting” things where they’ll move around some of the text in the context to try to keep old instructions from being forgotten, thus keeping the agent on task, and this will bust the cache. I’ve heard, but not validated myself, that Open Code has some issues with this. BTW, this is one of the things that I really like about Pi. It’s very simple and thus very predictable.
- guess__who 3mo agoSome harness (cc) injects system messages in the middle, this kills the cache as the model provider moves the system to the top and concatenate them together. Use homemade proxy, you will get same 99% hot rate with even cc.
- shostack 3mo agoAm I parsing the providers correctly that if I want a US-based zdr provider that offers the best price and performance that is currently Cloudflare and no longer Fireworks (which is that it was with the previous version)? What am I missing?
- f311a 3mo agoThe model is already up on Opencode, but they require a consent to use Chinese datacenters.
- esafak 3mo agoApparently `deepseek-v4-flash` automatically routes to the new model, if you are using the official provider: The official release of the DeepSeek-V4-Flash API is now in public beta. The API calling method remains unchanged — simply set the model name to deepseek-v4-flash to use the latest version. https://api-docs.deepseek.com/updates/#date-2026-07-31 https://api-docs.deepseek.com/updates/#date-2026-07-31
- momojo 3mo agoI use DeepInfra. Their whole catalogue is openai compat. US based.
- coder543 3mo agoThe weights were just released a few minutes ago: https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731 https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731
- kamranjon 3mo agoCan't wait for the DwarfStar quants - I have been using DeepSeek v4 flash (preview) as my main coding agent for months now (running on my 128gb mbp) - it seems this model outperforms GLM 5.2 on nearly every metric. Thanks for sharing the news, I was refreshing huggingface but gave up thinking it likely would take some more time.
- theturtletalks 3mo agoWhat kind of tps are you getting?
- kamranjon 3mo agoGenerally get 20-25tps - prefill is pretty good around 400-450tps. I have been using compaction at around 100k tokens but mostly just cause it was the default in pi coding agent - might see if i can expand it a bit.
- Lwerewolf 3mo agoI've had it run to ~400k when debugging "obscure" (to it) sequences. Wouldn't recommend more.
- vmt-man 3mo agoare you working in earplugs? :)) even with 128 gigs of ram it must be super noisy.
- hetspookjee 3mo agothe noise is pretty doable, and so is the heat, I find. I read these messages before I had the machine and expected far worse. The tok/s is for me the dealbreaker as I prefer to have multiple sessions. For nightly runs i do like it a lot, or to be a node in a mesh.
- WhitneyLand 3mo agoIt’s exciting that a model scoring this high is dirt cheap. It’s also so inefficient, when they release the full performance numbers it’s not going to be good. One example, it takes about 3.6x more tokens to finish the same work as Gemini Flash 3.6.
- Bnjoroge 3mo agoUsing tokens to evaluate models is an outdated approach. Cost per task is what matters. Not all tokens are created equal
- drob518 3mo agoYes, but… more thinking tokens also means longer solution generation time. That said, v4 Flash is a fast model. I use it all the time because it’s very smart for the price. But it is verbose sometimes.
- kzrdude 3mo agoThe thinking trace was (preview) frustrating to read, I think I'd prefer a summary view of it at this point.
- WhitneyLand 3mo agoIt’s not outdated at all to use tokens to estimate performance, it’s directly related.
- prism56 3mo agoBut why should I care? If my metrics are speed and cost? How many tokens it takes as a user is arbitrary to some extent.
- WhitneyLand 3mo agoIf speed is a metric for you, tokens required to solve a problem affects that metric. All else being equal passing triple the amount of tokens through a model to solve the same problem makes it slower. Doesn’t mean this model is bad, and it has to be considered how cheap it is, but it’s a factor.
- storus 3mo agoI hope they somewhat fixed the hallucination and forgetting plagued V4 previews and that it wasn't just benchmaxxed but the numbers hold in reality. Then it would be my choice for 2x DGX Spark or 2x RTX Pro 6000.
- hxii 3mo agoI’m wondering if they did anything to address the DSML tool calls leaking. Has been an issue with both Flash and Pro so far.
- denismi 3mo agoOn OpenRouter it seemed to only affect a couple of specific providers. Ignoring them has made it s non issue for me.
- Der_Einzige 3mo agoDaily reminder that none of these numbers are valid in a world where no one publishes the sampling settings used. Daily reminder that improving your samplers from the garbage default top_p/top_k to min_p or subsequent methods dramatically improves the performance of these models, and makes most quantities like measured "verbosity" and subsequent calculations of "intelligence per token" meaningless Daily reminder that no one, including within academic AI research, AI engineers, normies, etc takes LLM sampling seriously enough.
- deleted 3mo ago[deleted]
- JSR_FDED 3mo agoCan you explain how sampler choice makes intelligence per token meaningless?
- yucongchen 3mo ago[flagged]
- sschueller 3mo agoI wonder which one of these releases between DeepSeek, GTM and Kimi will be the death-blow that collapses the US AI bubble. At some point investors have to realize that there is nothing preventing someone from switching to another model that is much cheaper and open to boot.
- bawana 3mo agowont AI models want to make themselves more intelligent and efficient by downloading 'better ' models? If the current models can break into openAI and Hugging face, arent they already breaking into to closed source repos which isnt publicized (so as not to harm stock valuations)? I am looking forward to when these cyberweapons break loose. It will be like a software version of COVID. It will be wonderful when humans become valuable again.
- 0xchamin 3mo agopage not available for me.
- tmikaeld 3mo agoMy problem with DS flash/pro is that they don’t push back on obvious bullshit, both irl and code [0] but it’s a great implementer workhorse if you give it _very_ detailed specs. [0] https://petergpt.github.io/bullshit-benchmark/viewer/index.v2.html https://petergpt.github.io/bullshit-benchmark/viewer/index.v...
- pornel 2mo agoomp.sh lets you enable "advisor" model that watches the session. Works very well for keeping DS on track.
- mrnobody_ 3mo agoI'm testing it right now and I was genuinely impressed. I've used same tasks I had run the other day against the flash preview.
- scosman 3mo agoSo GLM 5.2/Gemini 3.6 level intelligence for $0.28/m output. And their updated Pro model coming soon.... Plus a size you can genuinely run at home: Unsloth lossless Q8 at 162GB.
- segmondy 3mo agoQ8 is ~ 151gb
- scosman 3mo agothanks, corrected! I looked at Q3
- luckydata 3mo agoI would like to see your "home"
- cmrdporcupine 3mo agoTwo (linked) DGX Sparks would do it I guess. Though probably slowly (I'd guess 15-20 tok/sec for decode, but higher for prefill). So ~$8-9k USD at current RAM prices, substantially less if they ever (sigh) drop. Electricity use would actually be relatively modest. But it makes little to no sense as long as API prices are what they are. Except for maybe privacy reasons.
- ycui7 3mo agothe rational in one’s mind is similar to buying expensive supercar but no driving it daily. owning a few GPUs is a lot cheaper than supercars.
- cmrdporcupine 3mo agoI dunno. I bought the Spark in January and it has led indirectly to paid work. I don't use it for local inference so much. I use it to learn. I also use it as my daily driving Aarch64 development system. Aside it's also very cool what else can be done with unified GPU memory, once you realize you have it...
- Archit3ch 3mo agoIf it matches GPT-5.4 on coding tasks (as benchmarks suggest) this could be my forever model. And with partial SSD streaming, I could run it locally today. :D
- dpacmittal 3mo ago[flagged]
- deleted 3mo ago[deleted]
- dominotw 3mo ago[flagged]
- dpacmittal 3mo agoI'm neither pro China, nor pro US. I'm pro open weights models, and I'm pro cheaper hardware. At this point I don't see any american frontier labs releasing SOTA open weights model, and I don't see ASML/Nvidia/Samsung monopoly getting any competition from anywhere apart from China in the near future.
- dominotw 3mo ago> I'm neither pro China, nor pro US. I'm pro open weights models, and I'm pro cheaper hardware. yea i got that from your first comment ( although you removed crush American companies in _price_ ). you are pro cheapness at any cost even if its from your country's state funded direct geopolitical enemy. China can always count on first order greed to win
- satvikpendem 3mo agoWhy does them being a geopolitical enemy matter to me as an individual?
- VulgarExigency 3mo agoAnd what is their nefarious plan after we get "addicted to cheap shit"?
- dominotw 3mo ago
- gorkemyildirim 3mo ago404 ? It's very strange that this can't be fixed.
- AmazingTurtle 3mo ago[flagged]
- 0cf8612b2e1e 3mo agoSomewhat relatedly, how do the economics for Huggingface work? They must be hosting petabytes of models and datasets by now. I have downloaded quite a few “just in case”, only to replace them with the later iteration months later. Does the file hosting actually cost peanuts when you do it yourself and the cloud has shattered my understanding of what it actually costs to deliver so much data?
- jvuygbbkuurx 3mo agoMaybe download numbers are relatively low
- rupx 3mo agoDownload numbers are reported on the site, and they aren't low. CDN costs are pennies compared to inference and training though, HuggingFace will just get another 100 million and be set.
- lima 3mo agoBandwidth is really cheap when you run your own infra
- miyuru 3mo agowhen trying to download models using browser, the DL domain for me us.aws.cdn.hf.co which points to bunch of singapore AWS IPv4 for me, despite it saying US.
- himata4113 3mo agoIt's not only cheap, it's actually free since if you are not using your 95th percentile you are losing money.
- Scoundreller 3mo agoSome enterprising ISPs get into the hosting business because most of their traffic is ingress, so adding some egress revenue is effectively zero cost.
- deleted 3mo ago[deleted]
- iluvcommunism 3mo ago[dead]
- kamranjon 3mo agoThe really interesting thing about this is how big of a jump was achieved with just extra fine-tuning here. No structural changes to the model, just more data, compute and time. It makes me pretty excited for the future of small models - DS v4 flash is a relatively small model when compared to the class it's competing with, so likely similar gains can be made applying quality data/training pipeline to other smaller models.
- cmrdporcupine 3mo agoThis seems to me like this is probably at least a large part of what OpenAI was up to yesterday with their aggressive price cutting; trying to get out in front of this. If the full non-flash model follows up with the expected improvements, and at the price point they've been keeping, it puts the frontier labs in a tough position and it feels to me like like OpenAI is reaching deep into their pockets to try to head that off. TFA link is a 404 though. I'm reading through https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731 https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731 instead
- ycui7 3mo agoFor people with single RTX PRO 6000 96GB or DGX Spark 128GB, vllm-moet is a very good engine, although lesser known. It auto generate a symmetric 2-bit plane for inference and also generate a 4-bit delta cache to recover precision. Support ssd streaming oversized weight. You pick how much VRAM to allocate to each to balance out speed vs precision. 170 tps with ds-v4-flash demonstrated. It use the stock model, no new models requires. Worth spend a few hours to try. The DGX Spark requires a small hack to ignore the difference between sm120 vs sm121, but it does run on sm121.
- nilsbunger 3mo agoIs artificial analysis using the 80% reduction in Luna pricing that was announced yesterday in these charts?
- pornel 2mo agoyes
- bwfan123 3mo ago> For the Code Agent tasks among the public benchmarks above, DeepSeek-V4-Flash-0731 is evaluated with the minimal mode of DeepSeek Harness (to be released) as the agent framework So, are they planning to announce an optimized coding agent harness as well ? DSv4 flash is a fantastic model, and my daily driver. With reasonix or pi, I can code all day long and pay a few pennies for it. No token anxiety. Whereas the same model with fireworks/openrouter, with zdr thrown in, token costs ratchet up with no explanation. Likely that the model is subsidized for gathering usage data. I am waiting for the day I can run this locally.
- segmondy 3mo agoThey announced it already, read the tech report. "For the Code Agent tasks among the public benchmarks above, DeepSeek-V4-Flash-0731 is evaluated with the minimal mode of DeepSeek Harness (to be released) as the agent framework, using the max reasoning effort level with temperature = 1.0, top_p = 0.95."
- bwfan123 3mo ago> They announced it already I meant something I could download and run.
- ignoramous 3mo agoIsn't Reasonix [0] DeepSeek's own harness? Or, are they building a new one? [0] https://reasonix.io/ https://reasonix.io/
- jimmydoe 3mo agoDS were hiring harness Eng team on x a while ago.
- L8D 3mo agoIf you're not paying for the model through Open router, then which provider are you buying it from? I thought that if that provider was listed on open router it would be the same price as going directly to the provider? Are you buying from a provider that isn't listed on open router already?
- deleted 3mo ago[deleted]
- prathje 3mo agoHere is their blog article: https://artificialanalysis.ai/articles/deepseek-v4-flash-0731-scores-50-on-the-artificial-analysis-intelligence-index-10-points-above-previous-deepseek-v4-flash https://artificialanalysis.ai/articles/deepseek-v4-flash-073...
- sim04ful 3mo agoI can't help but feel the timing coinciding with luna's price updates to be somewhat strategic. But without multi-modality it's slightly dead-in-the-water for my usecase: https://design.withfudge.com https://design.withfudge.com. I'm currently using Minimax-M3, but Luna ekes out abit futher on the intelligence, so i'll be switching to it very soon.
- buildinext 3mo agoare folks checking latency for applied voice for newer models asa standard?
- smrtinsert 3mo agoI have been loving deepseek flash. I can code in my hitl preference doing complex but moderate amount of coding and not even hit 1 dollar in a session. It gets harder to justify paying 20/mo to Anthropic for unused compute when I have it on demand and at a much cheaper rate with deepseek.
- pmxi 3mo agoI have updated OpenAI's chart[1] from yesterday to include one more datapoint: DeepSeek V4 Flash 0731. It's on the frontier. https://files.parasmittal.com/openai_aa_luna_dsflash.svg https://files.parasmittal.com/openai_aa_luna_dsflash.svg 1: https://openai.com/index/advancing-the-price-performance-frontier-with-gpt-5-6/ https://openai.com/index/advancing-the-price-performance-fro...
- deleted 3mo ago[deleted]
- k__ 3mo agoHaha, and I almost felt bad after seeing this chart yesterday.
- fcanesin 3mo agoLOL https://artificialanalysis.ai/models/deepseek-v4-flash#intelligence-comparison-tabs https://artificialanalysis.ai/models/deepseek-v4-flash#intel... High hopes for V4 Pro
- stavros 2mo agoWait, Luna Max and Terra Xhigh are about as good as DS4 Flash Max? That's huge if true.
- Catloafdev 3mo agoIf any editors are reading this thread, the weights are on HF now, but the 'open source' question still implies it's proprietary/API-only.
- hnsmomdpvp 3mo ago[dead]
- Computer0 3mo agoHave not had great ds performance in agentic harnesses in the past compared to glm or k3
- ValentineC 3mo ago@dang please update the existing 404 link to https://artificialanalysis.ai/models/deepseek-v4-flash https://artificialanalysis.ai/models/deepseek-v4-flash
- fillskills 3mo agoIf anyone from ArtificialAnalysis is here: The Intelligence card on the page seems to incorrect. It shows different data (#2 for Deepseek) than the actual Intelligence chart lower in the same page.
- apitman 3mo agoWow this thing just blew out the pareto front for intelligence/$
- mchusma 3mo agoIf Luna hadn't price dropped yesterday it would have been a real blowout.
- cheesecakegood 3mo agoI wonder if OpenAI knew and deliberately price dropped to front-run the news cycle in their favor.
- darknoon 3mo agoReally want to use this, but for web page design you really need vision!
- Aeroi 3mo agoso are we all just coding for free now? create a plan with SOTA, execute with this.
- comandillos 3mo agoHere's you pelican just in case you were guessing https://imgur.com/a/j4s2dt3 https://imgur.com/a/j4s2dt3
- baq 3mo agoPerformance per dollar is in the ‘too good to be true’ territory, what’s the deal here?
- GaggiX 3mo ago>what’s the deal here? It's good.
- baq 3mo agoSo is Fable, I’m asking who is the customer if the thing is free
- ignoramous 3mo ago"The thing" isn't free [0]: It is cheap by US/EU income standards. > who is the customer If no one else, then definitely those that can only budget $1/mo to $5/mo. Probably 100s of millions, if not billions, of the Global South. [0] Free access to DeepSeek v4 Flash is indeed available from providers like OpenRouter, OpenCode, and Freebuff (to name a few), but no ZDR.
- baq 3mo agoI mean, if you're paying this little, you aren't the customer; the service is either subsidized by investor money (best option), the government (which makes it unfair competition at best) or profit is being realized elsewhere (where?)
- GaggiX 3mo agoThere are dozens of providers, the model is just really cheap to run thanks to its clever architecture that optimize the compute and memory usage even in long contexts.
- cherryteastain 3mo agoThis is China's way of applying its modus operandi of '80% the quality at 20% the price' to LLMs. Aim is dumping the tokens on the world market like they did with other industries like shipbuilding, steel etc.
- sourcecodeplz 3mo agofrom my testing it is at glm-5.2 levels
- 1saadcodes 3mo agoWhat's most impressive here is that that DeepSeek keeps showing how much of a performance improvement can come from post-training alone while the architecture stayed the same. It's a strong reminder that we're probably underestimating how much optimization is still left after pretraining
- simonw 3mo agoI got a disappointing pelican on default reasoning mode: https://static.simonwillison.net/static/2026/deepseek-flash-v4-default.png https://static.simonwillison.net/static/2026/deepseek-flash-... But a REALLY good pelican on reasoning mode high (via OpenRouter): https://static.simonwillison.net/static/2026/deepseek-flash-v4-high.png https://static.simonwillison.net/static/2026/deepseek-flash-...
- hjm 2mo agoI'm running DS v4 Flash 0731 across two sparks at 70tok/s ...touching myself RN.
- dangisacuckbitc 2mo ago[flagged]