41–50 of 1001 posts
API pricing is up to $2/M for input and $12/M for output For comparison: Gemini 2.5 Pro was $1.25/M for input and $10/M for output Gemini 1.5 Pro was $1.25/M for input and $5/M for output
I'm sure this is a very impressive model, but gemini-3-pro-preview is failing spectacularly at my fairly basic python benchmark. In fact, gemini-2.5-pro gets a lot closer (but is still wrong). For reference: gpt-5.1-thinking passes, gpt-5.1-instant fails, gpt-5-thinking fails, gpt-5-instant fails, sonnet-4.5 passes, opus-4.1 passes (lesser claude models fail). This is a reminder that benchmarks are meaningless – you…
What we have all been waiting for: "Create me a SVG of a pelican riding on a bicycle" https://www.svgviewer.dev/s/FfhmhTK1
It hadn't occurred to me until now that the pelican could overcome the short legs issue by not sitting on the seat and instead put its legs inside the frame of the bike. That's probably closer to how a real pelican would ride a bike, even if it wasn't deliberate.
And of course they hiked the API prices Standard Context(≤ 200K tokens) Input $2.00 vs $1.25 (Gemini 3 pro input is 60% more expensive vs 2.5) Output $12.00 vs $10.00 (Gemini 3 pro output is 20% more expensive vs 2.5) Long Context(> 200K tokens) Input $4.00 vs $2.50 (same +60%) Output $18.00 vs $15.00 (same +20%)
Is it the first time long context has separate pricing? I hadn’t encountered that yet
API pricing is up to $2/M for input and $12/M for output For comparison: Gemini 2.5 Pro was $1.25/M for input and $10/M for output Gemini 1.5 Pro was $1.25/M for input and $5/M for output
Supposedly this is the model card. Very impressive results. https://pbs.twimg.com/media/G6CFG6jXAAA1p0I?format=jpg&name=... Also, the full document: https://archive.org/details/gemini-3-pro-model-card/page/n3/...
Every time I see a table like this numbers go up. Can someone explain what this actually means? Is there just an improvement that some tests are solved in a better way or is this a breakthrough and this model can do something that all others can not?
The questions AND the answers are public.
If the LLM manages through reasoning OR memory to repeat back the answer then they win.
The scores represent the % of correct answers they recalled.
I'm sure this is a very impressive model, but gemini-3-pro-preview is failing spectacularly at my fairly basic python benchmark. In fact, gemini-2.5-pro gets a lot closer (but is still wrong). For reference: gpt-5.1-thinking passes, gpt-5.1-instant fails, gpt-5-thinking fails, gpt-5-instant fails, sonnet-4.5 passes, opus-4.1 passes (lesser claude models fail). This is a reminder that benchmarks are meaningless – you…
How long does it typically take after this to become available on https://gemini.google.com/app ? I would like to try the model, wondering if it's worth setting up billing or waiting. At the moment trying to use it in AI Studio (on the Free tier) just gives me "Failed to generate content, quota exceeded: you have reached the limit of requests today for this model. Please try again tomorrow."
How come I can't even see prices without logging in... they doing regional pricing?
API pricing is up to $2/M for input and $12/M for output For comparison: Gemini 2.5 Pro was $1.25/M for input and $10/M for output Gemini 1.5 Pro was $1.25/M for input and $5/M for output
Still cheaper than Sonnet 4.5: $3/M for input and $15/M for output.