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Gemini 3.5 Flash

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Re: Gemini 3.5 Flash

#341

Earlier quoted context omitted.

Deepseek had another moment a few weeks ago. V4 isn't far behind the US frontier, and so far its flash variant seems a very reliable coder and costs a pittance.

Deepseek V4 (not flash) trippled in price too by the way (from Deepseek). Get used to this pattern. This is what you get for relying on the generosity of billionaires. Keep offshoring your thinking ability to a machine and let me know how competitive you. Hint, you wont be. There's nothing special about being able to use an LLM.

You're typing as your handwriting and letter sending abilities deteriorate to dust. Writing down information as your memory capacity decays. Remembering instead of living at the pure leading edge of perception dulling your reactions.

Smh, it's all downhill from the first unadulterated neuron.

Re: Gemini 3.5 Flash

#342
post #205

Earlier quoted context omitted.

Anyone can host Deepseek V4 on rented GPUs and sell inference on it. Price will very quickly converge to the marginal cost of inference. This is as close to a pure commodity as it gets in the AI space so competitive market economics will put in work. Same is true for any open-weights model.

You dont understand the costs involved to run inference at scale Please go run some numbers.The hardware needed to Run Deepseek v4 flash at 20 tps for a single session is nowhere close to what is required to run it at 50tps for 5,000 concurrent sessions. Imagine what it takes to be profitible when running at 150 tps for 30cents per 1mm. You make less than 1k per month and the hardware required to run that cost 10k a…

> Please go run some numbers.

- DeepSeek serves DeepSeek V4 Pro at 27 tps: https://openrouter.ai/deepseek/deepseek-v4-pro

- At 27 tps per user, a B300 GPUS will give you around 800 tokens per second (serving 30 users): https://developer-blogs.nvidia.com/wp-content/uploads/2026/0...

- That's 800 * 60 * 60 generated tokens per hour, at a cost of $0.87 per 1M tokens, or $2.50 per hour.

- For input and output tokens, the math is a bit more complicated because we have to make assumptions about their ratio. Using the published values from OpenCode, we get another $2.50 for cached tokens (which are almost free for DeepSeek) and another $3.40 for input tokens (which are a lot cheaper to compute than output tokens), which gives us a total of $8.50 per hour per B300 GPU.

- B300 GPUs can be rented for as low as $3.40 per hour, which is less than $8.50, so hosting DeepSeek V4 Pro is profitable.

You could also host it at fewer tps per user to raise the efficiency and therefore the profit even higher.

Re: Gemini 3.5 Flash

#343
post #59

Earlier quoted context omitted.

Those are (mostly) new, faster TPU

latest TPU's appear to reach 800tok/s rather than the advertised 300tok/s.

They demoed today 8i running ate 1300 to 1600ish tokens per second. I imagine that is caused by having a single rack serving the model just for the demo.

Re: Gemini 3.5 Flash

#344

Earlier quoted context omitted.

Deepseek V4 (not flash) trippled in price too by the way (from Deepseek). Get used to this pattern. This is what you get for relying on the generosity of billionaires. Keep offshoring your thinking ability to a machine and let me know how competitive you. Hint, you wont be. There's nothing special about being able to use an LLM.

I think demand is too great and compute is not enough. Nothing to do with billionaires colluding to increase prices by 3x.

Actually, why should Google collude on pricing? They have deep pockets and could starve out the competition while keeping prices low, if they really wanted.

I think it is priced high because it's basically their smartest model as well as their fastest, so why shouldn't they?

You can still use earlier generations of Flash at a lower cost if you want "fast and cheap and just OK," which often makes sense. (Just checked)

I would predict they will lower this price when 3.5 High appears, but perhaps not all the way.

Re: Gemini 3.5 Flash

#345
There was a brief moment in time where Gemini was the greatest thing since sliced bread, then it got nerfed from outer space without a version bump or any meaningful mention from Google, no thanks.

Re: Gemini 3.5 Flash

#346
post #131

The pelican is a lot : https://github.com/simonw/llm-gemini/issues/133#issuecomment... Not a great bicycle though, it forgot the bar between the pedals and the back wheel and weirdly tangled the other bars. Expensive too - that pelican cost 13 cents: https://www.llm-prices.com/#it=11&ot=14403&sel=gemini-3.5-fl...

Love your pelicans, as always. And that one is... Wow.

I noticed the "Synthwave" aesthetic, which is enjoying quite some success since quite some time now, has found its way into AI models (even when it's not in the user's query). It's not the first time I see the sun at sunset with color bands etc. in AI-generated pictures. Don't know why it's now taking on in AI too.

https://en.wikipedia.org/wiki/Synthwave

Hence the comments here about the 90s, Sonny Crockett's white Ferrari Testarossa in Miami, etc.

To be honest as a kid from the 80s and a teenager from the 90s who grew up with that aesthetic in posters, on VHS tape covers, magazine covers, etc. I do love that style and I love that it made a comeback and that that comeback somehow stayed.

Re: Gemini 3.5 Flash

#347
post #131

The pelican is a lot : https://github.com/simonw/llm-gemini/issues/133#issuecomment... Not a great bicycle though, it forgot the bar between the pedals and the back wheel and weirdly tangled the other bars. Expensive too - that pelican cost 13 cents: https://www.llm-prices.com/#it=11&ot=14403&sel=gemini-3.5-fl...

This is a perfect illustration of something I noticed with llm progress. Ask them to improve an svg like this, and it never fixes the missing crossbar or disconnected limbs, it just adds more stuff. In this example they have obviously improved greatly, and it contains a ridiculous amount of detail, but they still to get the basic shape of the frame wrong. It's weird. And the pattern shows up everywhere, try it with a…

Their ability is best described as "spiky". To steal from aphyr: think kiki, more than bouba. Whats interesting is that a lot of the models seem to have similar spikes and "troughs", though there are differences.
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