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Gemini 3.7 Flash

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71–80 of 525 posts

Re: Gemini 3.7 Flash

#72

This is genuinely a competitive model, considering it beats Claude Sonnet 5 on almost all benchmarks and is more than half its price. Seems like Google is back in the game, though not leading the frontier anymore.

> more than half its price

Less than half its price.

More than 50% discount.

Re: Gemini 3.7 Flash

#73

Earlier quoted context omitted.

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.

How can system be tuned for a specific model? Model is fungible, often one model strictly greater on both quality and price.

Prompts can certainly be tuned to a particular model, where updating the model actually results in worse performance. This is perhaps less true today than a year or two ago, but we have seen this on newer models as well. Typically, the less specific the instructions are, the less it's a problem. But sometimes you really need to get into specifics to get good results. Area of work is code porting and translation.

Re: Gemini 3.7 Flash

#74
post #58

Earlier quoted context omitted.

How can system be tuned for a specific model? Model is fungible, often one model strictly greater on both quality and price.

Models are not fungible, if you're building certain types of products on them.

this is becoming less true with every generation of model.

a decent model with a decent harness will determine when the knowledge base is lacking and attempt to fill the holes; thus the good general models can be very easily brought up to speed on niche domains.

Re: Gemini 3.7 Flash

#76
post #18

Is that he model that supposed to be Pro, but then they changed their mind?

No, relabelling a Pro model as Flash would make no economic sense (the Pro series is larger than Flash and more expensive to serve).

Re: Gemini 3.7 Flash

#77

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?

Probably both. Having a strong frontier model is necessary not just for the model itself but because it provides a halo effect for your entire line. So if Google could deliver a pro model they would. But I also think Google is targeting the wider market and not picking verticals like Anthropic does. A good enough model is good enough for most generalist tasks, and being fast and cheap is more important to less sophisticated users. Also can't forget Google is at every level of the AI vertical. They're not losing sleep because they're not competitive at the one level in which open weight models come out with the quickness. It reflects poorly on them, and from a marketing perspective its not good but in some ways its actually the least valuable place to be.

Re: Gemini 3.7 Flash

#78
post #74
post #58

Earlier quoted context omitted.

Models are not fungible, if you're building certain types of products on them.

this is becoming less true with every generation of model. a decent model with a decent harness will determine when the knowledge base is lacking and attempt to fill the holes; thus the good general models can be very easily brought up to speed on niche domains.

You're thinking like an engineer.

Think like a regulator.

Re: Gemini 3.7 Flash

#79

Earlier quoted context omitted.

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.

How can system be tuned for a specific model? Model is fungible, often one model strictly greater on both quality and price.

The business model is to replace the entire human economy.

Re: Gemini 3.7 Flash

#80

Earlier quoted context omitted.

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.

How can system be tuned for a specific model? Model is fungible, often one model strictly greater on both quality and price.

Think of it this way: you are at an enterprise business. You have a workflow implemented a year ago that is working just fine. Swapping out the model for a new one changes behavior in unpredictable ways. Eventually, you'll do it once cost is low enough, but it takes serious labor to validate this, so you'll wait a long enough time for Google to make money.
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