61–70 of 609 posts
I wonder if this suffers from the same issue as 3 Pro, that it frequently "thinks" for a long time about date incongruity, insisting that it is 2024, and that information it receives must be incorrect or hypothetical. Just avoiding/fixing that would probably speed up a good chunk of my own queries.
Summarize recent working arxiv url
And then it tells me the date is from the future and it simply refuses to fetch the URL.
Even before this release the tools (for me: Claude Code and Gemini for other stuff) reached a "good enough" plateau that means any other company is going to have a hard time making me (I think soon most users) want to switch. Unless a new release from a different company has a real paradigm shift, they're simply sufficient. This was not true in 2023/2024 IMO. With this release the "good enough" and "cheap enough" int…
For me, the last wave of models finally started delivering on their agentic coding promises.
Skatval is a small local area I live in, so I know when it's bullshitting. Usually, I get a long-winded answer that is PURE Barnum-statement, like "Skatval is a rural area known for its beautiful fields and mountains" and bla bla bla.
Even with minimal thinking (it seems to do none), it gives an extremely good answer. I am really happy about this.
I also noticed it had VERY good scores on tool-use, terminal, and agentic stuff. If that is TRUE, it might be awesome for coding.
I'm tentatively optimistic about this.
It's 1/4 the price of Gemini 3 Pro ≤200k and 1/8 the price of Gemini 3 Pro >200k - notable that the new Flash model doesn’t have a price increase after that 200,000 token point.
It’s also twice the price of GPT-5 Mini for input, half the price of Claude 4.5 Haiku.
This is awesome. No preview release either, which is great to production. They are pushing the prices higher with each release though: API pricing is up to $0.5/M for input and $3/M for output For comparison: Gemini 3.0 Flash: $0.50/M for input and $3.00/M for output Gemini 2.5 Flash: $0.30/M for input and $2.50/M for output Gemini 2.0 Flash: $0.15/M for input and $0.60/M for output Gemini 1.5 Flash: $0.075/M for inp…
Is there a way to try this without a Google account?
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.
> 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.
Deepmind Page: https://deepmind.google/models/gemini/flash/ Developer Blog: https://blog.google/technology/developers/build-with-gemini-... Model Card [pdf]: https://deepmind.google/models/model-cards/gemini-3-flash/ Gemini 3 Flash in Search AI mode: https://blog.google/products/search/google-ai-mode-update-ge...
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
So much for "Monopolies get lazy, they just rent seek and don't innovate"