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Gemini 3 Flash: Frontier intelligence built for speed

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241–250 of 609 posts

Re: Gemini 3 Flash: Frontier intelligence built for speed

#241
post #4

Don’t let the “flash” name fool you, this is an amazing model. I have been playing with it for the past few weeks, it’s genuinely my new favorite; it’s so fast and it has such a vast world knowledge that it’s more performant than Claude Opus 4.5 or GPT 5.2 extra high, for a fraction (basically order of magnitude less!!) of the inference time and price

I think google is the only one that still produce general knowledge LLM right now claude is coding model from the start but GPT is in more and more becoming coding model

I agree with this observation. Gemini does feel like code-red for basically every AI company like chatgpt,claude etc. too in my opinion if the underlying model is both fast and cheap and good enough

I hope open source AI models catch up to gemini 3 / gemini 3 flash. Or google open sources it but lets be honest that google isnt open sourcing gemini 3 flash and I guess the best bet mostly nowadays in open source is probably glm or deepseek terminus or maybe qwen/kimi too.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#242
post #4

Don’t let the “flash” name fool you, this is an amazing model. I have been playing with it for the past few weeks, it’s genuinely my new favorite; it’s so fast and it has such a vast world knowledge that it’s more performant than Claude Opus 4.5 or GPT 5.2 extra high, for a fraction (basically order of magnitude less!!) of the inference time and price

[dead]

Re: Gemini 3 Flash: Frontier intelligence built for speed

#243
post #178

It's a cool release, but if someone on the google team reads that: flash 2.5 is awesome in terms of latency and total response time without reasoning. In quick tests this model seems to be 2x slower. So for certain use cases like quick one-token classification flash 2.5 is still the better model. Please don't stop optimizing for that!

You can still set thinking budget to 0 to completely disable reasoning, or set thinking level to minimal or low.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#244
post #67

Pricing is $0.5 / $3 per million input / output tokens. 2.5 Flash was $0.3 / $2.5. That's 66% increase in input tokens and 20% increase in output token pricing. For comparison, from 2.5 Pro ($1.25 / $10) to 3 Pro ($2 / $12), there was 60% increase in input tokens and 20% increase in output tokens pricing.

Calculating price increases is made more complex by the difference in token usage. From https://blog.google/products/gemini/gemini-3-flash/ : > Gemini 3 Flash is able to modulate how much it thinks. It may think longer for more complex use cases, but it also uses 30% fewer tokens on average than 2.5 Pro.

Yes, but also most of the increase in 3 Flash is in the input context price, which isn't affected by reasoning.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#246
post #202

Earlier quoted context omitted.

Google has incredible tech. The problem is and always has been their products. Not only are they generally designed to be anti-consumer, but they go out of their way to make it as hard as possible. The debacle with Antigravity exfiltrating data is just one of countless.

The Antigravity case feels like a pure bug and them rushing to market. They had a bunch of other bugs showing that. That is not anti-consumer or making it difficult.

[deleted]

Re: Gemini 3 Flash: Frontier intelligence built for speed

#247

I remember the preview price for 2.5 flash was much cheaper. And then it got quite expensive when it went out of preview. I hope the same won't happen.

For 2.5 Flash Preview the price was specifically much cheaper for the no-reasoning mode, in this case the model reasons by default so I don't think they'll increase the price even further.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#248
post #134

I really wish these models were available via AWS or Azure. I understand strategically that this might not make sense for Google, but at a non-software-focused F500 company it would sure make it a lot easier to use Gemini.

I feel like that is part of their cloud strategy. If your company wants to pump a huge amount of data through one of these you will pay a premium in network costs. Their sales people will use that as a lever for why you should migrate some or all of your fleet to their cloud.

A few gigabytes of text is practically free to transfer even over the most exorbitant egress fee networks, but would cost “get finance approval” amounts of money to process even through a cheaper model.

Re: Gemini 3 Flash: Frontier intelligence built for speed

#250
post #4

Don’t let the “flash” name fool you, this is an amazing model. I have been playing with it for the past few weeks, it’s genuinely my new favorite; it’s so fast and it has such a vast world knowledge that it’s more performant than Claude Opus 4.5 or GPT 5.2 extra high, for a fraction (basically order of magnitude less!!) of the inference time and price

I wonder at what point will everyone who over-invested in OpenAI will regret their decision (expect maybe Nvidia?). Maybe Microsoft doesn't need to care, they get to sell their models via Azure.

Amazon Set to Waste $10 Billion on OpenAI - https://finance.yahoo.com/news/amazon-set-waste-10-billion-1... - December 17th, 2025
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