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Gemini 3.5 Flash

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Re: Gemini 3.5 Flash

#41
post #36
post #33

Is there a good benchmark tracking hallucinations? The models are all incredibly good now, even the open ones, and my hope is that the rate of hallucinations is something that's falling off in concert with larger and larger context lengths.

I haven't been bothered by hallucinations in premier models since early last year. Still see it in smaller local models though.

I'm really running into this deep at the edges of content creation. Take, for example, a need to general some kind of legal work. The cost of painstakingly checking and rechecking each case cited is reducing the value of these frontier models immensely.

Coding, however, is solved like magic. Easier to add tests, to be fair.

Re: Gemini 3.5 Flash

#42

Pricing is now live on ai.google.dev/pricing: Gemini 3.5 Flash: $0.75 input / $4.50 output per 1M tokens, 1M context window. The output price explicitly "includes thinking tokens" — which is why it's higher than a typical flash-class model. For comparison within the Gemini lineup: - Gemini 2.5 Flash: $0.30 / $2.50 - Gemini 3.1 Flash-Lite: $0.25 / $1.50 - Gemini 3.1 Pro Preview: $2.00 / $12.00 So 3.5 Flash is ~2.5x mo…

You’re quoting the batch pricing. On demand is 1.5 per input and 9 per M output. This is effectively comparable cost to Gemini 2.5 Pro in a flash tier model

Re: Gemini 3.5 Flash

#43
post #27

> Create animated SVG of a frog on a boat rowing through jungle river. Single page self contained HTML page with SVG 3.5 Flash: Thinking Medium - 7516 tokens https://gistpreview.github.io/?5c9858fd2057e678b55d563d9bff0... 3.5 Flash: Thinking High - 7280 tokens https://gistpreview.github.io/?1cab3d70064349d08cf5952cdc165... 3.1 Pro - 28,258 tokens https://gistpreview.github.io/?6bf3da2f80487608b9525bce53018... Though…

All three links animate for me.

Re: Gemini 3.5 Flash

#45
AI being a product is not the future. It's more like an operating system that deserves to be open and free (aka Linux). Unless that happens we are in for a very dystopian future. I wish I had the intelligence, resources and/or connections to try and make that happen.

Re: Gemini 3.5 Flash

#46
post #25

Earlier quoted context omitted.

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

It depends on the use-case. yes, 90% of cost is cache in agentic coding scenarios (actually 95% in my experience). But not when the model reasons for 200k+ tokens before answering a complex problem.

gemini models solve a problem in 80% less tokens so that's something to think about.

Re: Gemini 3.5 Flash

#47
post #33

Is there a good benchmark tracking hallucinations? The models are all incredibly good now, even the open ones, and my hope is that the rate of hallucinations is something that's falling off in concert with larger and larger context lengths.

well there is https://artificialanalysis.ai/evaluations/omniscience

Re: Gemini 3.5 Flash

#48

Pricing is now live on ai.google.dev/pricing: Gemini 3.5 Flash: $0.75 input / $4.50 output per 1M tokens, 1M context window. The output price explicitly "includes thinking tokens" — which is why it's higher than a typical flash-class model. For comparison within the Gemini lineup: - Gemini 2.5 Flash: $0.30 / $2.50 - Gemini 3.1 Flash-Lite: $0.25 / $1.50 - Gemini 3.1 Pro Preview: $2.00 / $12.00 So 3.5 Flash is ~2.5x mo…

You are seeing batch inference, standard inference is $1.5/$9. I was excited until I saw that price.

Re: Gemini 3.5 Flash

#49
post #33

Is there a good benchmark tracking hallucinations? The models are all incredibly good now, even the open ones, and my hope is that the rate of hallucinations is something that's falling off in concert with larger and larger context lengths.

if last year's models were the ones people got familiar with in late 2022, hallucinations would be an underrepresented rumor, there would be no articles about it because its so rare. overconfident lawyers wouldn't have messed up dockets in court with fake case law, in other domains that move faster, sources would be only partially outdated with agentic search and mcp servers filling in the gaps

AI psychosis would be the problem people talk about more, not just outright agreement but subtle ways of making you feel confident in your ideas. "yes, buy that domain name buy these other ones for defensibility"

(the domain name is dumb and completely unmarketable)

Re: Gemini 3.5 Flash

#50
Oh boy.

GDM is making (or has been backed into a corner into making) the bet that high throughput, low latency, low capability models are the path forward.

That probably works for vibe coded apps by non-practitioners.

I suspect that practitioners/professionals will wait longer for better results.

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