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Gemini 3.7 Flash

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Re: Gemini 3.7 Flash

#141

Post by simonw »

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...

Then I ran it on high, medium and low thinking levels (oddly minimal is no longer an option, which WAS an option for 3.5 and 3.6) and got a pretty excellent pelican for the first two:

https://tools.simonwillison.net/markdown-svg-renderer.html#u...

UPDATE: That was in Safari, but as pointed out in the replies here the pelicans do NOT render well in Firefox or Chrome! Best guess is that's because of this invalid filter in the SVG:
Filters are meant to contain additional elements, not be empty: https://drafts.csswg.org/filter-effects/#FilterElement - so maybe Chrome and Firefox remove the element that references the broken filter but Safari doesn't?

Re: Gemini 3.7 Flash

#142

Post by spiderfarmer »

simonw wrote: 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..…

It's not weird if you're in marketing.

Re: Gemini 3.7 Flash

#143

Post by IFC_LLC »

Like, I understand everything, but by this time I don't give anything about any of those announcements.

Theoretically there is some difference between Fable and Opus or Grok and GPT, but at the end of the day I'd look at the bottom left of my screen and to my amusement find out that for the past 3-4 hours I've been using model ______.

If the results are semi-decent, I'd keep it on, if not - I'd randomly switch the model and try again.

Actual thing that would affect my selection would be a number of unused tokens I have left for a model ____ for this week.

Maybe it's cause I'm using those for programming and log parsing and all of them are decent enough, but other than that - there are no leaps I see.

Re: Gemini 3.7 Flash

#144

Post by estebarb »

Alifatisk wrote: post #115

Ever since the insane discount with GPT-5.6 Luna, not much excites me anymore. I mean just look at the benchmarks, even though Gemini 3.7 Flash performs well on the DeepSWE 1.1, Luna (Max) still performs way better. I personally have stuck to Luna (Xhigh) because its been more than enough and does not bloat up the context window too fast with reasoning tokens. https://deepswe.datacurve.ai > Starting January 1, 2027,…

I practically switched to doing everything with Luna or DeepSeek V4 flash. I haven't feel the need for the more expensive models.

Re: Gemini 3.7 Flash

#145

Post by mattlondon »

WarmWash wrote: post #56
Topfi wrote: post #17

> What's new in Gemini 3.7 Flash [0] > Coding and agentic tasks: Significantly higher quality on real-world software engineering and agentic benchmarks, improving issue resolution and reducing failed agent loops. > Web development and stronger design parity: Generates higher-fidelity desktop and web application code directly from design mocks, with strong gains in design adherence and in auditing existing codebases a…

>Given this industry, I'd be hard pressed if 3.7 Flash was still in use by end of year, so why not make it the official pricing It was probably to placate some kind of general internal pricing/revenue benchmark that doesn't account for new model releases. Politicians do shit like this incessantly and it reeks of bureaucracy.

I suspect it's a bit of a signal to investors etc.

"Hey, we are not in a race to the bottom. This is our usual pricing, but this now is a promotion because we know we're coming from behind and need to entice users."

They're drawing a line in the sand on monetisation and signalling that to everyone, while in reality offering it a deep discount (no idea if profitable or not) knowing that this model will probably be obsolete before then.

Re: Gemini 3.7 Flash

#146

Post by hbn »

modeless wrote: post #121
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...

> 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.

Good catch! You're right to point that out. My previous marketing copy missed that specific detail. Thank you for bringing it up!

Re: Gemini 3.7 Flash

#147

Post by deadmutex »

aix1 wrote: post #90
jdw64 wrote: post #35

I'm really curious about this: the foundational paper behind today's LLMs came from Google, and some of the world's best scientists were at Google. So why are they falling so far behind in the AI race?

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?

Re: Gemini 3.7 Flash

#148

Post by Melatonic »

anthonypasq wrote: post #100
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…

for non-coding applications, i think speed is a real differentiator. Im building an app that uses LLMs for some functionality that the user would not have any reason to expect is using AI and therefore having then wait seconds or minutes is just not feasible. latency is a huge upside for me

Anything interacting with the real world seems like latency would be hugely important. Something more asynchronous friendly (like coding) is for obvious reasons over represented here

Re: Gemini 3.7 Flash

#149

Post by jjcm »

codazoda wrote: post #137
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…

How are you doing this with Opus. Clearly I’m missing something. I always turn to ChatGPT when I need images because Opus typically refuses. I’ve tried Claude Code and Claude online in the past. I’m pretty sure neither created images for me and I thought this was because Anthropic was focused on code. I guess I need to try harder. :)

Images and build step were generated with my own tool (https://news.ycombinator.com/item?id=48995754 - it's why I'm often running these img->html tests).

Opus can't generate images since A\ doesn't have a diffusion model.

Re: Gemini 3.7 Flash

#150

Post by Melatonic »

modeless wrote: post #121
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...

It's like the Intel Optane of AI
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