Live data from Hacker News

Gemini 3.6 Flash

console.cloud.google.com

61–70 of 78 posts

Re: Gemini 3.6 Flash

#61

I'm not at all an industry pundit. But I suspect there's a reason we're not seeing leading models from Google recently. Judging from my own frustrating attempts to use Gemini for vibe-coding, it seems like Google is badly over-sold (i.e., under-provisioned). From all those promos giving away their pro-level subscription with phones; spinning up a mid-level subscription to undercut other providers and (probably most s…

> putting AI queries into ever search response

There's no way these are using a significant amount of compute. I'm not 100% convinced they're actually LLM-generated rather than an old-school Markov model. Both the relevance and accuracy numbers of the responses flirt with 0%. It's possible they just have a few million stashed responses and choose one at random, from what I can tell as a user.

Re: Gemini 3.6 Flash

#64

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)

Not yet in Antigravity CLI 1.1.5 for Antigravity Business

Re: Gemini 3.6 Flash

#65
post #54

Earlier quoted context omitted.

You are exaggerating. 3.1 Pro came out in February of this year.

... and it was not SOTA at the time of release. Gemini 3.1 Pro was previewed on 19 February 2026. It just barely beat GPT-5.3 and was roughly equal with Sonnet 4.6. Better according to some, worse according to others. And that lasted about 10 days (until GPT-5.4 came out which was also not a huge jump). And these are large averages. On coding or terminal Gemini 3.1 Pro was not close to Opus 4.6. Also it only matches…

[deleted]

Re: Gemini 3.6 Flash

#66
post #54

Earlier quoted context omitted.

You are exaggerating. 3.1 Pro came out in February of this year.

... and it was not SOTA at the time of release. Gemini 3.1 Pro was previewed on 19 February 2026. It just barely beat GPT-5.3 and was roughly equal with Sonnet 4.6. Better according to some, worse according to others. And that lasted about 10 days (until GPT-5.4 came out which was also not a huge jump). And these are large averages. On coding or terminal Gemini 3.1 Pro was not close to Opus 4.6. Also it only matches…

I don't agree with you on what the term SOTA means. Gemini Pro 3.1 was the only frontier model that had native video input at launch. It was certainly SOTA at some tasks.

Re: Gemini 3.6 Flash

#68

I'm not at all an industry pundit. But I suspect there's a reason we're not seeing leading models from Google recently. Judging from my own frustrating attempts to use Gemini for vibe-coding, it seems like Google is badly over-sold (i.e., under-provisioned). From all those promos giving away their pro-level subscription with phones; spinning up a mid-level subscription to undercut other providers and (probably most s…

> Judging from my own frustrating attempts to use Gemini for vibe-coding, it seems like Google is badly over-sold (i.e., under-provisioned).

Based on my experience lately with Codex, it seems the opposite. Gemini 3.6 Flash (high) in Antigravity CLI feels a LOT faster than GPT 5.6 Luna (high) in codex. In the order of 10-50x.

Re: Gemini 3.6 Flash

#69
post #54

Earlier quoted context omitted.

... and it was not SOTA at the time of release. Gemini 3.1 Pro was previewed on 19 February 2026. It just barely beat GPT-5.3 and was roughly equal with Sonnet 4.6. Better according to some, worse according to others. And that lasted about 10 days (until GPT-5.4 came out which was also not a huge jump). And these are large averages. On coding or terminal Gemini 3.1 Pro was not close to Opus 4.6. Also it only matches…

I don't agree with you on what the term SOTA means. Gemini Pro 3.1 was the only frontier model that had native video input at launch. It was certainly SOTA at some tasks.

That's my point. It wasn't a clear win. It did some things no other model did. And it sucked at coding and terminal (as in nowhere near SOTA). It wasn't a clear win.

Re: Gemini 3.6 Flash

#70
post #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.

Presumably 3.6 Flash is primarily meant to serve their own needs for the Gemini chat app, voice app (which Sergey Brin says he uses a lot in the car on the way to work), and for their search "AI Assistant".

Flash 3.6 is certainly capable of many coding tasks, but clearly a model of this size of not trying to compete at the frontier as a software development tool, and not clear why Google really need to complete there other than for PR-related AI bragging rights.

I don't know how a frontier model like GPT 5.6 or Fable could have done better (I have no need that justifies paying for them), but yesterday I used the free Gemini chat app (i.e. Flash 3.6) to discuss and explain this poorly written recent AI paper to me, and honestly couldn't ask for much more.

https://alignment.openai.com/measuring-reward-seeking/

Post reply on HN