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Gemini 3.7 Flash

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Re: Gemini 3.7 Flash

#41

Post by wxw »

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 competitor which is an interesting positioning. I feel like differentiation at the mid-tier of models is pretty difficult.]

Re: Gemini 3.7 Flash

#42

Post by yieldcrv »

TekMol wrote: post #21

I'm only interested in the state-of-the-art model by each provider. For Google, this is still gemini-3.1-pro-preview, right?

This is all a naming quirk because Google can’t commit

Path A: Deprecated, do not dare use

Path B: Beta, do not rely

Re: Gemini 3.7 Flash

#43

Post by re-thc »

spelk wrote: 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.

Re: Gemini 3.7 Flash

#44

Post by nateb2022 »

randomblock1 wrote: post #19
spelk wrote: 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.

I think it's just meant to make it more competitive, Gemini has kinda been behind in everything except maybe multimodal. It's only 3 weeks after Flash 3.6, so if they really wanted to, they could probably do a 3.8 Flash before then.

Or a 3.7 Flash-Lite

Re: Gemini 3.7 Flash

#45

Post by poly2it »

npn wrote: post #12

> * For 3.6 and 3.7 Flash, introductory price expires on December 31, 2026. Starting January 1, 2027, $1.50/1M input tokens and $7.50/1M output tokens will apply. this is hilarious. it is not 2025 any more, by Jan 2027 there will be at least 3 newer generation of models (from other provider) released already. nobody would use flash 3.7 at that time. sure we used to cling to gemini models in the past, demanding 2.5 mo…

I think this is a play to get around EU regulation about false sales.

Re: Gemini 3.7 Flash

#46

Post by KptMarchewa »

re-thc wrote: post #25
euazOn wrote: 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…

> over DS V4 Flash/Pro? 13-26x cheaper with comparable intelligence, and available across many different inference providers. That's why DS4 already had a huge price hike announcement.

The inference providers did not raise the prices no?

Deepseek as a company can just increase prices for the crazily cheap cache they have, that's their only lever.

Re: Gemini 3.7 Flash

#47

Post by jtwaleson »

KptMarchewa wrote: post #28
npn wrote: post #12

> * For 3.6 and 3.7 Flash, introductory price expires on December 31, 2026. Starting January 1, 2027, $1.50/1M input tokens and $7.50/1M output tokens will apply. this is hilarious. it is not 2025 any more, by Jan 2027 there will be at least 3 newer generation of models (from other provider) released already. nobody would use flash 3.7 at that time. sure we used to cling to gemini models in the past, demanding 2.5 mo…

This is added specifically so you migrate out of those as fast as next models will be available.

I think it's just to signal that prices will go up in the future.

Re: Gemini 3.7 Flash

#48

Post by algoth1 »

Well, you do get 1 million tokens and the ability to reason over video natively and many of us are forced to pay for 20usd plan anyway due to google drive 5TB, not to mention notebooklm, so it’s not a nothing burguer, it’s just an almost nothing burguer

Re: Gemini 3.7 Flash

#49

Post by GodelNumbering »

npn wrote: post #12

> * For 3.6 and 3.7 Flash, introductory price expires on December 31, 2026. Starting January 1, 2027, $1.50/1M input tokens and $7.50/1M output tokens will apply. this is hilarious. it is not 2025 any more, by Jan 2027 there will be at least 3 newer generation of models (from other provider) released already. nobody would use flash 3.7 at that time. sure we used to cling to gemini models in the past, demanding 2.5 mo…

> introductory price

They should call it 'face saving pricing after we realized just how terribly did we mis-price the flash 3.5'

> since google betrayed us with those price hike, people already spent their time making their production pipeline less dependent on google since then.

This is my first hand experience. I spent at least $3000 on gemini-3-flash-preview. And exactly $0 total on (3.5+3.6+3.7)

Re: Gemini 3.7 Flash

#50

Post by seizethecheese »

npn wrote: post #12

> * For 3.6 and 3.7 Flash, introductory price expires on December 31, 2026. Starting January 1, 2027, $1.50/1M input tokens and $7.50/1M output tokens will apply. this is hilarious. it is not 2025 any more, by Jan 2027 there will be at least 3 newer generation of models (from other provider) released already. nobody would use flash 3.7 at that time. sure we used to cling to gemini models in the past, demanding 2.5 mo…

Maybe the business model is to break even on bleeding edge models while making money on the long tail of usage once systems are tuned for a specific model and running in production.
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