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Gemini 3.7 Flash

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Re: Gemini 3.7 Flash

#121

Post by modeless »

twelvechairs wrote: post #37

https://artificialanalysis.ai/models/gemini-3-7-flash The selling point for gemini continues to be speed and particularly end-to-end response time.

It's funny that they don't mention this at all in the marketing or tech specs when it's obviously the biggest selling point by far. Without this it would be completely irrelevant.

Worth noting that OpenAI just announced that they got the full GPT 5.6 Sol model running on Cerebras at 750 tokens per second. No announcement of the pricing though...

Re: Gemini 3.7 Flash

#122

Post by blfr »

mattlondon wrote: post #69
stillpointlab wrote: post #51

Does Google believe people want fast models because they have some sort of evidence of that preference? Or are they no longer capable of delivering a Pro model?

I have read that "pro"/"opus"/etc models can actually be worse for everyday coding as they reason "too deeply" and turn over too many stones over-thinking the problem and potentially getting distracted. This feels absurd to me (my gut is "I want the SMARTEST model I can get!!"), but often I find that my experience of using a flash/sonnet model for every-day workhorse coding they are better. Its not the same thing, bu…

I find Fable completely unbeatable for anything code-related. It's the only frontier model that seems to come with sane defaults.

If it implements something simple like a file export, it just knows that the file should have a meaningful name. Vibecoded feature beats most software's lazy "untitled.png".

So, yes, I want the smartest model even for simple stuff. Maybe especially for simple stuff because the tokens burned will be trivial so the cost doesn't give lower models a comparative advantage.

Re: Gemini 3.7 Flash

#123

Post by stillpointlab »

mattlondon wrote: post #69
stillpointlab wrote: post #51

Does Google believe people want fast models because they have some sort of evidence of that preference? Or are they no longer capable of delivering a Pro model?

I have read that "pro"/"opus"/etc models can actually be worse for everyday coding as they reason "too deeply" and turn over too many stones over-thinking the problem and potentially getting distracted. This feels absurd to me (my gut is "I want the SMARTEST model I can get!!"), but often I find that my experience of using a flash/sonnet model for every-day workhorse coding they are better. Its not the same thing, bu…

That does not match my own experience, which is why I wonder if Google has evidence of that.

Consistently, lower intelligence models provide worse results in my own work. But I don't have evals on my side, just vibes.

Re: Gemini 3.7 Flash

#124

Post by snissn »

jjcm wrote: post #106

Here's a image->html test. Gemini has always swung above its weight class for vision work, so I'm always eager to try it with this. Original images: https://image.non.io/neonRamenDesigns.webp Gemini 3.7 build: https://html.non.io/neonRamenGemini3.7 Opus 5 build for comparison: https://html.non.io/neonRamen Opus is still best in class for this, but it's worth noting how well Gemini 3.7 does vs a more comparable LLM pr…

I'm curious how much the harness plays into this. I'm somewhat surprised by the gemini and grok results, they seem to have strongly deviated from the original images. I'm thinking maybe the harness has a big effect? It's possible to proxy in different models to claude code, if you're curious you might find it interesting to test!

Re: Gemini 3.7 Flash

#125

Post by ghoshbishakh »

Has anyone noticed that antigravity has been working really well for the last few weeks. Now with this model it should be working much better. Hope the Google AI Pro Subscription can be used to do some real agentic coding now.

Re: Gemini 3.7 Flash

#126

Post by jeffbee »

wxw wrote: post #41

They need to release benchmarks against Luna/Terra. Luna is much cheaper which feels like it undercuts the need for Flash. I've always considered the Flash series of models to be for low-cost, high-volume, mostly text-based use cases (e.g. summarization, parsing, formatting), emphasis on low-cost. [edit: ah, benchmarks here: https://blog.google/innovation-and-ai/models-and-research/ge... more of a Terra than Luna com…

Why is Gemini represented by points on this cost-quality plane, while competitor's models are represented by curves?

Re: Gemini 3.7 Flash

#127

Post by [deleted] »

vrosas wrote: post #60
twelvechairs wrote: post #37

https://artificialanalysis.ai/models/gemini-3-7-flash The selling point for gemini continues to be speed and particularly end-to-end response time.

I've blown away by flash 3.6's speed while Opus chugs along for _hours_ on similar tasks. I've gotten into a opus designed -> gemini implemented -> opus reviewed dev cycle recently.

[deleted]

Re: Gemini 3.7 Flash

#128

Post by wxw »

peab wrote: post #70
wxw wrote: post #41

They need to release benchmarks against Luna/Terra. Luna is much cheaper which feels like it undercuts the need for Flash. I've always considered the Flash series of models to be for low-cost, high-volume, mostly text-based use cases (e.g. summarization, parsing, formatting), emphasis on low-cost. [edit: ah, benchmarks here: https://blog.google/innovation-and-ai/models-and-research/ge... more of a Terra than Luna com…

gemini flash is probably the best model for visual tasks right now. they also make it really easy to ingest videos

Ah, multimodal is a great point. I'll need to try that some time.

Re: Gemini 3.7 Flash

#129

Post by eckr »

Maybe this is just my experience, but have people had trouble with 3.6 Flash just... getting things it has seen in its context correct? I don't know if it's been insanely benchmaxxed or what, but it'll pull information from websites and immediately get it wrong the token after. Or for example (this is something that happened like yesterday) I asked it to compare the uses of A and B in a language I was learning, and the way I typed it was "Please compare how these two are compared differently: A VS B", and then... it proceeded to compare "VS" and "B". I'm not kidding.

Personally whenever I use Gemini I've just been using 3.1 Pro because I've had insane trouble with them getting things incorrect like this. Hopefully they'll fix it soon / they've fixed it with 3.7 Flash.

Re: Gemini 3.7 Flash

#130

Post by ponyous »

bob_theslob646 wrote: post #61
twelvechairs wrote: post #37

https://artificialanalysis.ai/models/gemini-3-7-flash The selling point for gemini continues to be speed and particularly end-to-end response time.

What's the typical response time for Gemini compared to other models?

On my benchmark where AIs generate ~20 different 3D models about 1/2 the time of Opus and 1/3 of the time of Kimi K3 and 2/3 of time of sonnet.
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