Gemini 3.5: frontier intelligence with action

https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/

82•meetpateltech•41m ago

Comments

alexdns•32m ago

Its Gemini 3.5 Flash

nerdalytics•11m ago

Yeah, Google chose a misleading title for the blog post.

asar•26m ago

$1.5/m input tokens $9/m output tokens

6x the price of 3.1 flash lite

himata4113•24m ago

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

minimaxir•23m ago

10% of input pricing is standard especially compared to competition.

himata4113•16m ago

yah, which means that the input cost is the only value that should be paid attention to at the end + the cache discount (x10). If google would start offering x20 discount it would make it twice as cheap while input and output stayed the same.

wolttam•13m ago

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.

__jl__•12m ago

In our experience, caching is not very reliable with google. We always get random cache misses that don't happen with other providers. We find OpenAI, Anthropic and Fireworks (which we use a lot) all have higher cache hit rates. So it's not only about the costs of cached token but also what kind of cached hit rate you get.

John7878781•24m ago

[deleted]

stri8ed•20m ago

Output cost is 3x from Gemini 3 flash.

iwhalen•21m ago

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/

himata4113•26m ago

Engineers at google have publically stated that the models are too big and are far from their potencial. Glad they're being proven right with every release.

They continue to focus on smaller models while openai and anthropic are increasing compute requirements for their SOTA models.

stri8ed•22m ago

Given the cost increase associated with this model, and previous model releases, I think the size is trending upwards, not down.

himata4113•17m ago

The speed says otherwise. I think they're increasing costs since they want to start seeing ROI.

maipen•20m ago

Don’t let that fool yourself. Google will have SOTA models as big as or even bigger than their competitors.

They are just refining their current models while they finish training the next generation.

They will all come out at about the same time. Anthropic, OpenAi, Google, xAI

ACCount37•12m ago

Anthropic has been sitting on Mythos for a while now. I guess they don't feel pressured to fuck it ship it until anyone else gets a 10T to work.

Sevii•5m ago

It's doubtful they have the compute to make mythos publicly available even after the SpaceX datacenter deal. And why sell it publicly if people are still willing to pay for Opus 4.7?

howdareme•14m ago

Google’s pro models are almost certainly bigger than Openai’s lol

golfer•24m ago

Here's the benchmark scoreboard they published:

https://storage.googleapis.com/gweb-uniblog-publish-prod/ori...

mixtureoftakes•19m ago

benchmarks look REALLY good, the price hike is big but it also beats sonnet 4.6 in every discipline?

SXX•12m ago

  > 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 3.1 took 3 minutes of thinking to generate, but it only one that got animated movement.

abi•10m ago

Your links are broken FYI.

John7878781•10m ago

They work for me.

cesarvarela•12m ago

Add Flash to the title, please.

benbencodes•10m ago

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 more expensive input vs 2.5 Flash. The pricing and "including thinking tokens" framing position it as a reasoning-capable flash model rather than just a pure speed optimization.

conorh•5m ago

I think you have your pricing wrong there, Gemini 3.5 flash is $1.50 input and $9 output.

jpau•5m ago

Standard pricing is showing for me as $1.50 / $9.

(I suspect you're viewing the "flex" pricing).

aliljet•10m ago

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.

Sevii•6m ago

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

bakugo•9m ago

Triple the price of the last Flash model ($3 -> $9 per 1M output). Quickly approaching Sonnet prices.

Feels like the AI pricing noose is tightening sooner rather than later.

eis•4m ago

They released 3.5 Flash, no Pro or Flash-Lite yet.

3x price increase over 3 Flash is not something I expected. In fact 3.5 Flash was more expensive than 3.1 Pro to run the Artifical Analysis test suite. $1551 for 3.5 Flash vs $892 for 3.1 Pro. That's 74% more cost while ranking lower. It's 2.5x as fast but I don't think the bang for the buck is there anymore like it was with 3.0 Flash. I'm a bit bummed out to be honest.

One interesting point to note is that Google marked the model as Stable in contrast to nearly everything else being perpetually set as Preview.

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