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Gemini 3.7 Flash

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211–220 of 525 posts

Re: Gemini 3.7 Flash

#211
post #200
post #141

The "introductory pricing" for this 3.7 Flash model is really weird. It's scheduled to double in price on December 31, 2026, but who would anticipate still using this model five months from now? Especially since 3.6 Flash came out just three weeks ago! My first effort with default thinking level produced an ambitious pelican, let down by a flawed bicycle: https://tools.simonwillison.net/markdown-svg-renderer#url=ht..…

> got a pretty excellent pelican for the first two This suggests you primarily use Safari. While the bike renders, the pelican doesn’t in Chrome and Firefox. Probably one of the more serious defects I’ve seen with the pelican. It’s one thing when animated SVGs have bugs, but another when plain ones do.

... whoa, that's true! Thanks for catching that.

Re: Gemini 3.7 Flash

#212

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.

I have been using the first party version all year, and with this model in it I am really happy. It’s fast and works.

Re: Gemini 3.7 Flash

#213
post #16

> 3.7 Flash is available through the end of the year at an introductory price of $0.75/1M input tokens and $3.75/1M output tokens. > Introductory pricing expires on December 31, 2026. Starting January 1, 2027, $1.50/1M input tokens and $7.50/1M output tokens will apply.

Clearly this model will be irrelevant by Jan. 2027, why would Google even bother to say this?

They want to maintain the perception that Flash is worth $7.5/mot, so they can charge more for the next one.

Re: Gemini 3.7 Flash

#214
post #141

The "introductory pricing" for this 3.7 Flash model is really weird. It's scheduled to double in price on December 31, 2026, but who would anticipate still using this model five months from now? Especially since 3.6 Flash came out just three weeks ago! My first effort with default thinking level produced an ambitious pelican, let down by a flawed bicycle: https://tools.simonwillison.net/markdown-svg-renderer#url=ht..…

I think introductory here means more or less permanent but they can't publicly admit there are no takers at a higher price.

Anthropic for instance announced a couple of days ago that they are making Sonnet's 'introductory pricing' permanent https://xcancel.com/claudeai/status/2086891169217122586

Re: Gemini 3.7 Flash

#215
post #133
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…

Other thoughts: I really think Google has fallen behind here. Even as a high speed offering (this build took ~7min, which is pretty good!), it wont be able to claim dominance for long with cerebras announcing the Sol preview today: https://www.cerebras.ai/blog/accelerating-gpt-5-6-sol-ultraf... . It's not a bad model by any means, but I just don't know what situation I'd reach for 3.7 Flash first for. Google really n…

Can you help me understand how it is hard to get an API key from Google? You just head on over to http://aistudio.google.com/api-keys and create a key... not any different from platform.openai.com?

Disclaimer: I work in Google so it might be that this link is not publicly well known

Re: Gemini 3.7 Flash

#216
I just use web chat as "harness"(lol) or interface and I have mostly switched to Gemini as the free limit basically never run out for me unlike ChatGPT and Claude.

Also impressed with Grok for some stuff.

Re: Gemini 3.7 Flash

#217
post #90

Earlier quoted context omitted.

The "let's make money by selling/renting out TPUs" faction has won and the "let's make money by training and selling a frontier model" faction has lost. And it's arguably not crazy, at least if SemiAnalysis's estimates are to be believed: * 20% of all TPU shipments from Q3 2026 through Q4 2027 are sold to SPVs serving Anthropic ($150B of contracted revenue); vs * ~$12B ARR for Gemini. https://newsletter.semianalysis.…

> The "let's make money by selling/renting out TPUs" faction has won and the "let's make money by training and selling a frontier model" faction has lost. Citation needed. also, why can't a massive company do two things?

"why can't a massive company do two things?"

It's a variation of opportunity cost. A company that has an opportunity to take $1 and make $1.50 on it can't justify an opportunity to spend $1 and make $1.25, even though a less profitable company may make a good living on that. When considering capital allocation, Google has to consider the opportunity cost of investing more into their highly lucrative ads business. Another company that has no access to such a lucrative business uses different opportunity cost when it comes to allocating capital. It can easily be the case that Google could end up justify being in the business of renting out shovels and end up chased out of the business of using the shovels to create AIs entirely because that turns out not to be where the money is. I'm not saying that's obviously inevitable; I'm saying it's a possible and reasonable outcome.

That's why even though the industry produces giants, these giants can never just eat everything. Even though it seems like they have all the money, it isn't practical for them to try to do everything and in fact limits get hit very quickly for anything other than the primary, lucrative business.

Apparently there is no snappy term for this in the business space, according to such AI searches as I have run.

Re: Gemini 3.7 Flash

#218

Earlier quoted context omitted.

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

Competitors release multpile models and their curves reflect reasoning effort of each single model. Gemini doesn't have adjustable reasoning effort (at least on the graph) so each of its curves is just one point.

Gemini has levels though

Re: Gemini 3.7 Flash

#219
post #141

The "introductory pricing" for this 3.7 Flash model is really weird. It's scheduled to double in price on December 31, 2026, but who would anticipate still using this model five months from now? Especially since 3.6 Flash came out just three weeks ago! My first effort with default thinking level produced an ambitious pelican, let down by a flawed bicycle: https://tools.simonwillison.net/markdown-svg-renderer#url=ht..…

maybe exactly because the frontier moves, introductory pricing makes sense as you want to free up compute for the newer models

Re: Gemini 3.7 Flash

#220
post #193
post #133

Earlier quoted context omitted.

Other thoughts: I really think Google has fallen behind here. Even as a high speed offering (this build took ~7min, which is pretty good!), it wont be able to claim dominance for long with cerebras announcing the Sol preview today: https://www.cerebras.ai/blog/accelerating-gpt-5-6-sol-ultraf... . It's not a bad model by any means, but I just don't know what situation I'd reach for 3.7 Flash first for. Google really n…

Sol on Cerebras is going to be expensive AF

Moving from either frontier intelligence or frontier latency to a single model that does both at the same time is potentially a game changer in certain industries. I can easily see e.g. hedge funds dropping tons of money on this, because it means they can now do the same thing as their competitors, but much faster. That's basically a license to print money.
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