[deleted]
Gemini 3.5 Flash
21–30 of 692 posts
Re: Gemini 3.5 Flash
#22Engineers 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.
Given the cost increase associated with this model, and previous model releases, I think the size is trending upwards, not down.
The speed says otherwise. I think they're increasing costs since they want to start seeing ROI.
Re: Gemini 3.5 Flash
#23Earlier 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.
10% of input pricing is standard especially compared to competition.
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.
Re: Gemini 3.5 Flash
#24Engineers 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.
Google’s pro models are almost certainly bigger than Openai’s lol
Re: Gemini 3.5 Flash
#25$1.5/m input tokens $9/m output tokens 6x the price of 3.1 flash lite
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.
Re: Gemini 3.5 Flash
#26Engineers 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.
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
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.
Re: Gemini 3.5 Flash
#27 > Create animated SVG of a frog on a boat rowing through jungle river. Single page self contained HTML page with SVG
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.
Re: Gemini 3.5 Flash
#28Add Flash to the title, please.
Re: Gemini 3.5 Flash
#29$1.5/m input tokens $9/m output tokens 6x the price of 3.1 flash lite
I don't think input/output pricing matters, 90% of the cost is cache. $0.15 is pretty good, but still very expensive.
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.
Re: Gemini 3.5 Flash
#30Its Gemini 3.5 Flash
Yeah, Google chose a misleading title for the blog post.