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Gemini 3.7 Flash

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101–110 of 525 posts

Re: Gemini 3.7 Flash

#101
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…

flash-lite is more of their luna tier competitor but even still not quite there yet, but gemini's dominance on multimodal and image understanding i think really gets downplayed on this site when most people think the only think you can do with LLMs is write code

That's been my association as well. I see Flash get brought up a lot in relation to things like OCR and PDF processing frequently, and a lot of other routine multimodal workloads.

Re: Gemini 3.7 Flash

#102
post #75

Actual announcement: https://blog.google/innovation-and-ai/models-and-research/ge... So it's better than 3.6 Flash, at half the price. I've been pretty excited about Gemini models recently, they just feel so fast after spending most of the day at work waiting for Opus 5.

Yes, 3.6 Flash is very fast. I used to get a fair amount of usage of the Gemini Flash models on the free tier. I signed up for their $4.99/month tier (includes 400GB of Google space which was also enticing) and it turns out I only get about 15 to 20 minutes of usage before I get a come-back-in-7-days message. Comically low usage limits on that plan.

Re: Gemini 3.7 Flash

#103
post #43
post #2

>3.7 Flash is available through the end of the year at an introductory price 1 of $0.75/1M input tokens and $3.75/1M output tokens. This price combined with the enhanced model performance enables developers and customers to scale production-ready agents cost effectively. Introductory pricing until December 2026 implies no significant Gemini Flash developments until the next year.

> implies no significant Gemini Flash developments until the next year. Gemini 4 is apparently just around the corner so unless there's a 3 month delay... there's at least a new Flash update.

3.5 Pro was supposed to be around the corner two months ago. 4.0 Pro is some ways out as they recently stated they are seeing some promising early results from training. It didn't sound like a release is imminent.

Re: Gemini 3.7 Flash

#104

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

Sol high is almost the same speed if you take into account drastically lower token use. Look at the artificial analysis speed vs token use. Gemini is 7x faster but 5x more tokens. And that's with Sol high being a substantially better model. Edit: and Sol medium actually has the same AA intelligence score as Gemini 3.7, and has >7x fewer tokens, actually making it faster

is presumes you are doing longer difficult agentic tasks, if youre doing a simple problem in 1 or 2 shots, not really multi turn then theres no comparison.

Re: Gemini 3.7 Flash

#105
post #9

The multimodal abilities are great, but if you deal with text only, what is the benefit of using this over DS V4 Flash/Pro? 13-26x cheaper with comparable intelligence, and available across many different inference providers. I fail to see the usecase where DS V4 Pro is not enough, but Flash 3.7 is - except multimodal. Luna is similar, and also 8x cheaper. Source: artificialanalysis The only benefit I can see is the…

I guess the question then becomes "are you sure you'll do text only?"

I could probably do text only for my workflow (feature development/debugging for web microservices) but sometimes it is easier to just toss a screenshot into the Claude prompt, so that gives it an edge.

If your workflow is 100%, certifiably never ever going to involve an image, then yeah, this isn't going to be huge.

Re: Gemini 3.7 Flash

#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 price wise, which is Grok 4.6: https://html.non.io/neonRamenGrok4.6 . I thought Gemini would blow Grok out of the water (it generally has in the past), but Grok has really caught up.

Re: Gemini 3.7 Flash

#107
For almost every section in the model card there is the message: Gemini 3.7 Flash is based on Gemini 3.6 Flash.

Same training dataset, same software, same hardware, same architecture...

I'm wondering what they changed actually for the model to be more powerful if the benchmark results are real and relevant.

Maybe just tweak settings or the reasoning prompts and called it a new version of their model?

Re: Gemini 3.7 Flash

#109
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…

flash-lite is more of their luna tier competitor but even still not quite there yet, but gemini's dominance on multimodal and image understanding i think really gets downplayed on this site when most people think the only think you can do with LLMs is write code

[deleted]

Re: Gemini 3.7 Flash

#110

Did the company fix the high friction between any service and their models' API? I hope so. It seems mind boggling to me that an user needs to surf around different sections (plural) of google cloud console, then this Vertex and do a dozen clicks to issue a simple key.

You can use the Gemini API which is independent of the more complex Vertex AI API. Not sure whether you still have to visit the Google Cloud UI for some things (like billing) though.
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