Comments
Hacker News
It is both less intelligent and more expensive than GLM-5.2, while being closed weight.
by jgbuddy
A couple tidbits:
> Beyond today’s releases, Gemini 3.5 Pro is currently testing with partners and we plan to make it broadly available as soon as it’s ready.
> We have started our most ambitious pre-training run yet, for Gemini 4, and are excited by the progress.
Pricing per million input/output tokens:
2.5 Flash: $0.3 / $2.5
3.0 Flash: $0.5 / $3
3.5 Flash: $1.5 / $9
3.6 Flash: $1.5 / $7.5
---
2.5 Flash-Lite: $0.1 / $0.4
3.1 Flash-Lite: $0.25 / $1.5
3.5 Flash-Lite: $0.3 / $2.5
Pelicans for 3.6 Flash and 3.5 Flash-Lite (Cyber isn't available to me through the API yet.)
https://tools.simonwillison.net/markdown-svg-renderer#url=ht...
by simonw
Google somehow managed to snatch defeat from the jaws of success with their AI products.
They literally forced me and my company out of Antigravity by phasing out AI Ultra subscription without any proper product follow-up. Antigravity IDE cannot even have poweruser subscriptions now from Google Workspace an Gemini Enterprise Agent Platform cannot be attached to Antigravity IDE.
Gemini Enterprise Agent Platform has an incredibly abysmal setup process, and if I want to limit spending per-user I have to create projects per user. The fact that you cannot activate Anthropic models on it if the billing still has free credits is almost a joke.
I was a big proponent of Google and Gemini, but they left us reeling with their abrupt product decisions. Forced us to buy $200 subscriptions directly from Anthropic/OpenAI.
by stonewhite
It's a bit disheartening to see no comparison to other models here - and I'm not sure this pushes the curve anywhere. 3.6 flash is more expensive than GLM 5.2 - but seemingly worse, although this post is really light (lite?) on details.
It seemed for a time that Google had finally gotten the ball rolling, but I'm doubting that more and more as time passes. We'll see what happens with 3.5 pro I suppose.
by m_w_
My hunch is Google is trying to integrate a fast and relatively cheap AI across search and every other surface of their product suite. And for that objective, a model that can move faster while being accurate and cheap enough is more important to them than producing a frontier class heavyweight model.
by prtmnth
I wonder how big the Pro model is that Google is using behind the scenes to train these smaller ones.
Going on baseless speculation, the lack of accompanying pro models with these flash releases either means: 1) the model is too big to be economical, 2) google doesn't have the compute to serve the big model, 3) their big model has too many alignment issues to serve to the public.
edit: looks like benchmarks are up on https://artificialanalysis.ai/models/gemini-3-6-flash. It's solidly middle-of-pack. However, if you want to be most fair to flash, look at the intelligence vs time per task and intelligence vs outputspeed benchmarks. This is a very fast model.
edit 2: I use antigravity from time to time and in my experience, 3.5 flash is an underrated model, so long as you know what it's good for. It's very good at frontend (much better than gpt 5.5) and it's fast, so it's a great tool for iteration. I expect 3.6 to be no different.
by postalcoder
Join the discussion
Write your take first — we'll ask for email only when you're ready to publish.
- Hacker News
- It is both less intelligent and more expensive than GLM-5.2, while being closed weight.by jgbuddy
- A couple tidbits:
> Beyond today’s releases, Gemini 3.5 Pro is currently testing with partners and we plan to make it broadly available as soon as it’s ready.
> We have started our most ambitious pre-training run yet, for Gemini 4, and are excited by the progress.
- Pricing per million input/output tokens:
2.5 Flash: $0.3 / $2.5
3.0 Flash: $0.5 / $3
3.5 Flash: $1.5 / $9
3.6 Flash: $1.5 / $7.5
---
2.5 Flash-Lite: $0.1 / $0.4
3.1 Flash-Lite: $0.25 / $1.5
3.5 Flash-Lite: $0.3 / $2.5
- Pelicans for 3.6 Flash and 3.5 Flash-Lite (Cyber isn't available to me through the API yet.)
https://tools.simonwillison.net/markdown-svg-renderer#url=ht...
by simonw - Google somehow managed to snatch defeat from the jaws of success with their AI products.
They literally forced me and my company out of Antigravity by phasing out AI Ultra subscription without any proper product follow-up. Antigravity IDE cannot even have poweruser subscriptions now from Google Workspace an Gemini Enterprise Agent Platform cannot be attached to Antigravity IDE.
Gemini Enterprise Agent Platform has an incredibly abysmal setup process, and if I want to limit spending per-user I have to create projects per user. The fact that you cannot activate Anthropic models on it if the billing still has free credits is almost a joke.
I was a big proponent of Google and Gemini, but they left us reeling with their abrupt product decisions. Forced us to buy $200 subscriptions directly from Anthropic/OpenAI.
by stonewhite - It's a bit disheartening to see no comparison to other models here - and I'm not sure this pushes the curve anywhere. 3.6 flash is more expensive than GLM 5.2 - but seemingly worse, although this post is really light (lite?) on details.
It seemed for a time that Google had finally gotten the ball rolling, but I'm doubting that more and more as time passes. We'll see what happens with 3.5 pro I suppose.
by m_w_ - My hunch is Google is trying to integrate a fast and relatively cheap AI across search and every other surface of their product suite. And for that objective, a model that can move faster while being accurate and cheap enough is more important to them than producing a frontier class heavyweight model.by prtmnth
- I wonder how big the Pro model is that Google is using behind the scenes to train these smaller ones.
Going on baseless speculation, the lack of accompanying pro models with these flash releases either means: 1) the model is too big to be economical, 2) google doesn't have the compute to serve the big model, 3) their big model has too many alignment issues to serve to the public.
edit: looks like benchmarks are up on https://artificialanalysis.ai/models/gemini-3-6-flash. It's solidly middle-of-pack. However, if you want to be most fair to flash, look at the intelligence vs time per task and intelligence vs outputspeed benchmarks. This is a very fast model.
edit 2: I use antigravity from time to time and in my experience, 3.5 flash is an underrated model, so long as you know what it's good for. It's very good at frontend (much better than gpt 5.5) and it's fast, so it's a great tool for iteration. I expect 3.6 to be no different.
by postalcoder