141–150 of 362 posts
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Does it still say that it's an anthropic model, when asked? I would guess new post-training has fixed that.
Does Claude still say it's Deepseek, when asked? https://news.ycombinator.com/item?id=49082022#49087112 How is that important? Maybe it does, so what?
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Opencode-go gives you $60 worth of DS V4 api usage for $10 per month. Right now I think it's hard to exhaust that when using flash exclusively, and plain API use might even be cheaper! Anyway, for DS usage it's a good deal.
Opencode also have a ZDR (zero data retention) deal with them – if I recall correctly, that's not something you can enable as an individual DeepSeek subscriber.
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It probably would be called 'deepseek-v4-flash-0731' in API edit: nope, at least deepseek kept "deepseek-v4-flash" and just updated model underneath. I guess preview is no longer worth serving with that release and you'd have to look through inference provider docs to see if they've updated, yeah..
That's what I mean. On DeepSeek it's now just `deepseek-v4-flash`, while OpenRouter calls it `deepseek/deepseek-v4-flash-0731`, so now when someone talks about DeepSeek V4 Flash, like in benchmarks, or other inference providers, which version do they actually mean? The `-0731` style suffix is worse compared to a proper version bump like V4.1.
If the benchmarks are real and reflect actual use, then this is an insane model. This 300B model outperforms the previous DS4 Pro preview model (1.8T params), and it looks like it outperforms GPT 5.6 Luna too. And it's still cheaper than Luna, even with the price decrease. Crazy.
On DeepSWE Deepseek is 54.4% and Luna is 67%
* DS4 Flash: 82.7
* GPT 5.6 Luna: 75.7
For reference, that puts it on the third spot behind GPT 5.5 and Fable 5. For some reason GPT 5.6 Sol is not showing in the leaderboard. If it did, then DS4 Flash was number four.
The thing is, even if Luna is better in DeepSWE and has the 80% discount. DeepSeek is still cheaper.
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DeepSeek V4 | Flash GPT-5.6 Luna (New)
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Input (Cache Hit) $0.0028 $0.02
Input (Cache Miss) $0.14 $0.20
Output $0.28 $1.20
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Both Luna and Flash are heavy on the reasoning > output. And the cache hitrate + prices also matter.
Reality is, you can not go wrong with Luna or Flash at those prices. And remember, DeepSeek V4 Pro is still in the rafters, what is ironically closer to Luna's new price.
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There's also the 2x spark way, which should be ~8k eur? Someone down the thread reported ~60tps for 2x sparks. That's totally usable for local inference. You can also do 2x 6kPRO in a workstation, for ~20k.
For the same performance, one could even go about 50% cheaper with 16 channel ddr4 + a rtx3090 for prompt processing. But still, even for mid level projects API is orders of magnitude cheaper, since you don't need to set it up and maintain it.
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I looked into it but, at least for me, it goes against the entire philosophy of pi :-)
the entire philosophy of pi is to be extensible
I use deepseek for a lot of my personal day-to-day agent needs, and I will simply put this here and let this speak for itself, last 30 days: - Cost: $4.55USD - API requests: 3,467 - Tokens: 323,183,886 And as an engineer who leads a small team, I have very high standards for quality, and these carry across to my personal projects where I use deepseek. It has not disappointed at all for coding or review tasks. For eve…
I've had worse experiences doing it because the quality of answer has been quite bad, and I'm wondering if my methods are the reason.
Judging by the openrouter leaderboard ranking for today, it looks like Dv4F us more popular than mimov2.5. https://openrouter.ai/rankings?view=day#leaderboard-table These days cost per task is more important, and SOTA models have become expensive.
These massive jumps in cheap models, is really great times!
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Qwen/Alibaba have stopped doing open weights releases for a while. No grudge or anything, I'm certainly not going to look at a gift horse in the mouth, but both DeepSeek and Moonshot have been very consistent with open weights as well as sharing actually detailed research. In terms of open research, China has absolutely overtaken the US.
Qwen has a pinned tweet stating that 3.8 will be released as open weights soon. I guess it remains to be seen, though, if they’ll do the smaller model sizes or only the big 2.4T one.