31–40 of 1001 posts
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%)
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
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/...
What we have all been waiting for: "Create me a SVG of a pelican riding on a bicycle" https://www.svgviewer.dev/s/FfhmhTK1
That is pretty impressive. So impressive it makes you wonder if someone has noticed it being used a benchmark prompt.
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%)
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's available to be selected, but the quota does not seem to have been enabled just yet. "Failed to generate content, quota exceeded: you have reached the limit of requests today for this model. Please try again tomorrow." "You've reached your rate limit. Please try again later." Update: as of 3:33 PM UTC, Tuesday, November 18, 2025, it seems to be enabled.
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…
Not the preview crap again. Haven't they tested it enough? When will it be available in Gemini-CLI?