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DeepSeek v4

api-docs.deepseek.com

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Re: DeepSeek v4

#221

Post by raincole »

revolvingthrow wrote: post #160

> pricing "Pro" $3.48 / 1M output tokens vs $4.40 I’d like somebody to explain to me how the endless comments of "bleeding edge labs are subsidizing the inference at an insane rate" make sense in light of a humongous model like v4 pro being $4 per 1M. I’d bet even the subscriptions are profitable, much less the API prices. edit: $1.74/M input $3.48/M output on OpenRouter

Insert always has been meme.

But seriously, it just stems from the fact some people want AI to go away. If you set your conclusion first, you can very easily derive any premise. AI must go away -> AI must be a bad business -> AI must be losing money.

Re: DeepSeek v4

#222

Post by WhereIsTheTruth »

Interesting note:

"Due to constraints in high-end compute capacity, the current service capacity for Pro is very limited. After the 950 supernodes are launched at scale in the second half of this year, the price of Pro is expected to be reduced significantly."

So it's going to be even cheaper

Re: DeepSeek v4

#223

Post by Alifatisk »

throwa356262 wrote: post #217

Seriously, why can't huge companies like OpenAI and Google produce documentation that is half this good?? https://api-docs.deepseek.com/guides/thinking_mode No BS, just a concise description of exactly what I need to write my own agent.

You might enjoy Z.ais api docs aswell

Re: DeepSeek v4

#224

Post by tokenmaxxinej »

sbinnee wrote: post #58
zargon wrote: post #29

The Flash version is 284B A13B in mixed FP8 / FP4 and the full native precision weights total approximately 154 GB. KV cache is said to take 10% as much space as V3. This looks very accessible for people running "large" local models. It's a nice follow up to the Gemma 4 and Qwen3.5 small local models.

Price is appealing to me. I have been using gemini 3 flash mainly for chat. I may give it a try. input: $0.14/$0.28 (whereas gemini $0.5/$3) Does anyone know why output prices have such a big gap?

input tokens are processed at 10-50 times the speed of output tokens since you can process then in batches and not one at a time like output tokens

Re: DeepSeek v4

#225

Post by theshackleford »

elefanten wrote: post #208
b65e8bee43c2ed0 wrote: post #188

Earlier quoted context omitted.

American companies want a scan of your asshole for the privilege of paying to access their models, and unapologetically admit to storing, analyzing, training on, and freely giving your data to any authorities if requested. Chinese ulteriority is hypothetical, American is blatant.

It’s not remotely hypothetical you’d have to be living under a rock to believe that. And the fusion with a one-party state government that doesn’t tolerate huge swathes of thoughtspace being freely discussed is completely streamlined, not mediated by any guardrails or accountability. This “no harm to me” meme about a foreign totalitarian government (with plenty of incentive to run influence ops on foreigners) hooveri…

> This “no harm to me” meme about a foreign totalitarian government (with plenty of incentive to run influence ops on foreigners) hoovering your data is just so mind-bogglingly naive.

This is why I’ve been urging everyone I know to move away from American based services and providers. It’s slow but honest work.

Re: DeepSeek v4

#226

Post by zarzavat »

raincole wrote: post #221
revolvingthrow wrote: post #160

> pricing "Pro" $3.48 / 1M output tokens vs $4.40 I’d like somebody to explain to me how the endless comments of "bleeding edge labs are subsidizing the inference at an insane rate" make sense in light of a humongous model like v4 pro being $4 per 1M. I’d bet even the subscriptions are profitable, much less the API prices. edit: $1.74/M input $3.48/M output on OpenRouter

Insert always has been meme. But seriously, it just stems from the fact some people want AI to go away. If you set your conclusion first, you can very easily derive any premise. AI must go away -> AI must be a bad business -> AI must be losing money.

Before the AI bubble that will burst any time now, there was the AI winter that would magically arrive before the models got good enough to rival humans.

Re: DeepSeek v4

#227

Post by primaprashant »

While SWE-bench Verified is not a perfect benchmark for coding, AFAIK, this is the first open-weights model that has crossed the threshold of 80% score on this by scoring 80.6%.

Back in Nov 2025, Opus 4.5 (80.9%) was the first proprietary model to do so.

Re: DeepSeek v4

#228

Post by zargon »

Imanari wrote: post #220
abstracthinking wrote: post #199

Earlier quoted context omitted.

They have just released it, give it some time, they probably haven't pretested it with Pi

How can they fix it after the release? They would have to retrain/finetune it further, no?

It's only in preview right now. And anyway, yes, models regularly get updated training.

But in this case, it's more likely just to be a tooling issue.

Re: DeepSeek v4

#229

Post by torginus »

simonw wrote: post #63

I like the pelican I got out of deepseek-v4-flash more than the one I got from deepseek-v4-pro. https://simonwillison.net/2026/Apr/24/deepseek-v4/ Both generated using OpenRouter. For comparison, here's what I got from DeepSeek 3.2 back in December: https://simonwillison.net/2025/Dec/1/deepseek-v32/ And DeepSeek 3.1 in August: https://simonwillison.net/2025/Aug/22/deepseek-31/ And DeepSeek v3-0324 in March last year:…

This is just a random thought, but have you tried doing an 'agentic' pelican?

As in have the model consider its generated SVG, and gradually refine it, using its knowledge of the relative positions and proportions of the shapes generated, and have it spin for a while, and hopefully the end result will be better than just oneshotting it.

Or maybe going even one step further - most modern models have tool use and image recognition capabilities - what if you have it generate an SVG (or parts/layers of it, as per the model's discretion) and feed it back to itself via image recognition, and then improve on the result.

I think it'd be interesting to see, as for a lot of models, their oneshot capability in coding is not necessarily corellated with their in-harness ability, the latter which really matters.

Re: DeepSeek v4

#230

Post by ben_w »

elefanten wrote: post #208
b65e8bee43c2ed0 wrote: post #188

Earlier quoted context omitted.

American companies want a scan of your asshole for the privilege of paying to access their models, and unapologetically admit to storing, analyzing, training on, and freely giving your data to any authorities if requested. Chinese ulteriority is hypothetical, American is blatant.

It’s not remotely hypothetical you’d have to be living under a rock to believe that. And the fusion with a one-party state government that doesn’t tolerate huge swathes of thoughtspace being freely discussed is completely streamlined, not mediated by any guardrails or accountability. This “no harm to me” meme about a foreign totalitarian government (with plenty of incentive to run influence ops on foreigners) hooveri…

As a non-American, everything you wrote other than "one party" applies to the current US regime.

Relatively speaking, DeepSeek is less untrustworthy than Grok.

When I try ChatGPT on current events from the White House it interprets them as strange hypotheticals rather than news, which is probably more a problem with DC than with GPT, but whatever.

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