Why would the Chinese sell me nvidia cards? I can just by an AMD iGPU, and the perf/$ is much better than nvidia dGPUs.

(Typed on a 2023 macbook perfectly capable of running the Chinese open weight models.)

I've had the $20 Gemini plan to use when my local setup runs into tougher problems and the throttling today has been bonkers. I canceled my subscription and will look into upgrading my local setup.

Doesn't need to be the Chinese. It can be anyone without stratospheric Nvidia margins. The Gold Rush phase of AI economy (aka "the bubble") is beginning to slow down and the Optimization phase is just beginning to ramp up (we see this with massive bumps to token cost and token burn rate of pretty much all frontier models, plus the general pivot away from your typical individual chat end-users to businesses and employees of said businesses) and there will come a time when "nvidia has the best software stack" will not mean much for the big players. Organically, I think it already kinda does, it's just masked with the inertia of massive circular deals and Nvidia selling its services to itself (entities it backs/invests in).

Aren't China also allowed to purchase Nvidia GPUs now too?

What exactly are you doing with this that you can’t generate $1.50 of value per million tokens?

Ubiquitous like the crack epidemic.

or 3/4 the price (of 3.1 Pro) if we believe their benchmarks

Arena.ai is saying "Gemini 3.5 Flash’s pricing shifts the Pareto frontier in Text. 8 models from GoogleDeepMind dominate the Text Arena Pareto curve where only 4 labs are represented for top performance in their price tiers."

https://x.com/arena/status/2056793180998361233

Yeah, bummer. I was very excited for this release, but this killed it.

The pricing is an issue.

"Flash-Lite" is a different product from "Flash", which is more expensive. They couldn't be more confusing with their naming though, especially since they have 3.1 Pro and not 3.1 Flash non-lite.

I haven't used 3.5 at all yet, but previous Gemini (and Gemma models) are by far the most token light per task than any other model.

Cost per task is a more productive measure, but obviously a more difficult one to benchmark.

I wonder why they didn't discuss price in the post?

Compare to the GPT-5.5 announcement: https://openai.com/index/introducing-gpt-5-5/

I don't think input/output pricing matters, 90% of the cost is cache. $0.15 is pretty good, but still very expensive.

  $0.15 / million tokens
  $1.00 / 1,000,000 tokens per hour (storage price)

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Real smart. I’ve come to associate ”Flash” with ”useless make-shit-up”, and always look for Thinking/Pro when I see it set. Now, suddenly, there is only Flash?

I think flash just means "fast" now

My guess is Gemini Pro coming later will be 2x more, bringing it comparable to Opus’s pricing.

That would be Flash Lite now, and I'm also interested in the cheaper end of things so kinda disappointed they didn't release 3.5 Flash Lite at the same time...