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Gemini 3.6 Flash

console.cloud.google.com

21–30 of 78 posts

Re: Gemini 3.6 Flash

#22
at least openai had the guts to call code red and improve.

releasing a model worse than luna is pretty bad. Its clear that internally they did not decide coding was a thing until relatively recently.

Re: Gemini 3.6 Flash

#23

I've heard almost nothing about Gemini in my circles, are they still in the race to build AGI?

Of the models I've tried lately, I get more value out of Gemini for personal stuff like researching products or learning how to do things than the others. It seems more factually correct in domains I know about and hallucinates minor stuff less than the others.

Re: Gemini 3.6 Flash

#25
I assumed google would lean into the efficiency stuff more and try to eat the easy 80% of workloads, winning market share on volume instead of frontier if they were not able to produce frontier level models.

They're very well equipped to be the volume discount store of inference.

Re: Gemini 3.6 Flash

#26

It's available in Antigravity as well - Gemini 3.6 Flash (High) Gemini 3.6 Flash (Medium) Gemini 3.6 Flash (Low) Gemini 3.5 Flash (Medium) Gemini 3.5 Flash (High) Gemini 3.5 Flash (Low) Gemini 3.1 Pro (Low) Gemini 3.1 Pro (High) Claude Sonnet 4.6 (Thinking) Claude Opus 4.6 (Thinking) GPT-OSS 120B (Medium)

Antigravity is such a dumb name. An-ti-gra-vi-ty (5) is long, Ge-mi-ni (3) was better. Aren’t Marketing/PR people at FAANG supposed to be among the best in the industry?

Zune would like a word

Re: Gemini 3.6 Flash

#27
I don't like how it compared itself to 5.6 Luna instead of Sol, and still losing on some metrics. You will not see me using this over even 5.6 Sol-light

Re: Gemini 3.6 Flash

#28

It’s frankly embarrassing at this point. I’ve got free access through buying a Pixel phone and it’s not even worth using as it’s a waste of my time. Here’s my experience so far using it for basic sysadmin Linux type stuff. Gemini 3.1 Pro just feels a generation behind, from when models would miss easy things and make bad assumptions. Its not actively detrimental in bad way but the opportunity cost vs using something…

This would be more useful if you could compare to a local model like Qwen3.6 27B or 35B.

Re: Gemini 3.6 Flash

#29
This model is not for builders and engineers. DeepSWE score of 49% is behind gpt 5.4 and muse spark. It's clearly intended to be an efficient model for google gemini usage.

What is interesting is how this is announced before any Gemini Pro progress. From the outside it seems as though Google cannot keep up with other frontier models.

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