The community discussed the benchmark chart's relative performance against models such as Sonnet 5, while also noting the Flash series' frequent updates and free-tier experience.
Note: Community comments are not a controlled experiment and cannot substitute for reproducible benchmarks.
The following preserves the body text extracted from the page during this visit; visible text from page navigation, the platform's automatic translation, comments, and other page text is retained as-is.
Skip to main content Gemini 3.7 flash benchmark : r/singularity Advertise on Reddit Open chat Create Create post Open inbox Expand user menu 1 Repost Go to “singularity” r/singularity • 4 days ago Expensive_Syrup_6529 Gemini 3.7 flash benchmark AI Share OpenAI • Promoted Launch your next build with Codex in ChatGPT Sign up chatgpt.com Collapse video player Sort by: Comments Longjumping_Kale3013 • 4 days ago
Looks like it beats sonnet 5. And that was just released. Pretty great IMO considering it is their "flash" model.
Kind of surprising because it feels like google has all of a sudden started dropping a new flash model every month. I wonder if this is the new normal. Small step each month
Reply Share Wizardnutcracker • 4 days ago
Sundar Pichai said on their Q2 earnings call that the roadmap moving forward is for releases at almost a monthly cadence.
OpenSource_Horse • 4 days ago
Extremely rare free AI phone app users W
amomynous123 • 3 days ago
What does this mean? Can I get free ai?
Inevitable_Tea_5841 • 3 days ago • 3 days ago Edited
The Gemini app (and others like Claude and ChatGPT are also free)
TwoFluid4446 • 3 days ago
Claude especially but also chatGPT come with a big BUT, which is their extremely low limits for free usage.
Internal_Quail3960 • 3 days ago
doesnt gpt have infinite free usage for 5.6 luna now?
2 more replies NomaanMalick • 3 days ago
I find Claude allows the lowest free usage.
Deto • 4 days ago
yeah - considering how much cheaper it is, and better on most evals, why would anyone use the Sonnet 5.0 API instead of this?
Howdareme9 • 4 days ago Top 1% commenter
The same reason as always. Gemini models scale poorly when you use them for agentic stuff in the real world
vrnvorona • 3 days ago
Sonnet is bad at it too, too verbose and expensive. Terra/Luna with Sol oversight is best
2 more replies 1 more reply StardockEngineer • 3 days ago
3.6 was trash. Thought so much the cost per task ended up costing more money
2 more replies Keeltoodeep • 4 days ago • 4 days ago Edited Top 1% commenter
Looks like the new normal after they cleaned house of the science and research teams
Kingwolf4 • 4 days ago
They should have made a seperate lab for LLM.
Gutting and destroying deepmind is imo the biggest mistake for google in the long run.
Deepmind was the heart of google.
Keeltoodeep • 4 days ago Top 1% commenter
I don’t think they gutted it. They certainly showed the door to the people who complained about being budgeted limited internal compute for research and science. They obviously had their own code red moment like when Gemini and Anth surpassed ChatGPT a year ago in the benchmarks and felt that Gemini training, production and delivery was to be prioritized. If you’re an exec and don’t like that they simply ask you to resign.
In an ideal world I’m sure Google would rather have infinite compute available for all their teams but that’s not the world we live in.
Kingwolf4 • 4 days ago
Yeahh, but deepmind as a unit has to fit in to the LLM race remember. If they had just created a seperate lab, perhaps made deepmind shift over or help the new LLM lab it would have been much better
Remember, deepmind was gardenee by demis to be one of the most powerhouse and deep research entity probably in the world. Removing demis, restructuring it, cutting funds, changing the delicate bonds and roots simmering is essentially gutting it.
Would be far better to create a seperate lab and explain that deepmind will help this new lab and have crossover but keep them seperate.
You may not like it, but the main reason they didnt do this is because of FEAR of stock drop. Same with back of the hand removing hassibis. They dont want to make it seem that they are doing this. Eroding the intellectual and research depth of deepmind, but thats what they functionally are doing, just under a guise .
All this for stocks, which would be just fine if they created a new labs and set whatever people they wanted but obviously under the guise and actual help of deepmind. I didnt think google would do this, but this choice to me seems representative based on overly short term goals, and one that will critically damage google in the medium to long run.
Keeltoodeep • 4 days ago Top 1% commenter
A separate lab would still be budgeted compute that the execs wanted to prioritize for the Gemini teams. You still haven't solved the issue.
2 more replies 9 more replies Gratitude15 • 4 days ago Top 1% commenter
Flash is the model Google search runs on
You're basically raising the floor that touches billions every month.
The floor is pretty solid now with deepseek and this and Luna.
kiki-le-koala • 4 days ago Top 1% commenter
Google Search run on Flash-Lite 3.5
4 more replies BlueSwordM • 3 days ago
Nah, they're using Flash Lite for web searchers.
Flash is only used when you go into AI mode, but it reverts back to Flash Lite once you go beyond a certain context.
Correctsmorons69 • 3 days ago
There's no way it runs on a $3.75 API model
2 more replies BriefImplement9843 • 3 days ago
lmao. you think ai overview is flash? holy fuck. it's not even flash lite.
1 more reply Flaxseed4138 • 4 days ago
Sonnet is trash
RelevantCry1613 • 3 days ago
Opus 5 is trash
Fable is baller though
Flaxseed4138 • 3 days ago
Facts
1 more reply CrunchyMage • 4 days ago
Sonnet 5 is literally a useless model though. Opus medium is cheaper and better.
This model is basically sol medium level for a tiny bit more expensive.
I think it’s good if you have video input at least since very few models now support video natively.
Zenged_ • 4 days ago
Flash and Sonnet about the same size and price.
BriefImplement9843 • 3 days ago
sonnet is extremely expensive and much larger.
1 more reply 8 more replies Gotisdabest • 4 days ago • 4 days ago Edited
Honestly if nothing else I do respect how fast they're putting these models out and there is a pretty solid amount of progress over each of these. You can get a lot of use of these for free from AI studio. 3.5 to 3.6 flash was around 2 months and then 3.7 flash only took 20 days. For casual free use I'd say google is up there with the best of the market.
What's weird is the bizzare statement about API pricing. Who's going to be even thinking about these models by the time 2027 rolls around? Even google will probably have a few more models out in basically every range by then and you'll almost certainly have models 10x cheaper than this with better capabilities.
sogo00 • 4 days ago
What's weird is the bizzare statement about API pricing. Who's going to be even thinking about these models by the time 2027 rolls around? Even google will probably have a few more models out in basically every range by then and you'll almost certainly have models 10x cheaper than this with better capabilities.
Enterprise customers.
Not sure about the Google long term availability promise, but once a enterprise app is planned each change is expensive.
It's the reason you can get support for example from Red Hat for 10 year old not updated distributions
Maristyl • 4 days ago
Extrapolating from that rate of update we should expect 3.8 in a week. Then 3.9 in less than three days. Two weeks from now Gemini should be getting a new release faster than our brains can process.
/s cause someone is gonna take this serious.
Charming_Cucumber_15 • 4 days ago Top 1% commenter
The singularity was Gemini flash all along
OpenSource_Horse • 4 days ago
Huge W if the first ever AGI is a phone app Flash model
ren_704 • 3 days ago 1 more reply qroshan • 4 days ago
People are absolutely missing out on fast iterations possible on 3.6 (and now 3.7) with Antigravity. It's blazingly fast and has gotten much better at coding and the new benchmarks solidifies this even more
whoknowsifimjoking • 4 days ago Top 1% commenter
If it does work it's cool, but my experience with 3.5 flash was that it was amazingly fast at producing absolute trash. Looks like they might be able to correct that though.
qroshan • 4 days ago • 4 days ago Edited
Look at the jump from 3.5 to 3.7 around coding related tasks
example 3.5 was 37% in DeepSWE and now it has jumped to 65%
I'd say it's competitive to Sonnet 5 but with speed as an advantage
Paraless • 3 days ago
IMO these benchmarks don't mean much, you just have to try it and see for yourself which one gets the best results
OKMiddleOwl • 4 days ago • 4 days ago Edited
Yeah, but it's trash you can iterate on 5-6 times before 5.6 or Fable would finish working. Often it's fails are things can be fixed in 10 seconds upon being pointed out to the model.
I get that "set it and forget it" is king, but single shot benchmarks of Flash don't really capture it's strength.
qroshan • 4 days ago
You clearly haven't used 3.7.
I have used all 3 (Fable 5, GPT 5.6 Sol, and now Flash 3.7).
Once you get used to Flash speed and it's current intelligence, it's hard to go back waiting 10 minutes for a task to finish
Elegant_Tech • 4 days ago
Flash has become the best workhorse for single scope single prompt iterating. Just missing that large pro model for when you want to do a highly complex or large thing in one shot instead of breaking it down into steps. Hopefully 3.7 can squeak by getting the job done that 3.6 flash couldn't handle.
LanguageEast6587 • 4 days ago
please try it before you say this, IMO fable and 5.6 are too slow to iterate.
Keeltoodeep • 3 days ago Top 1% commenter
5.6 is snail pace now
the_mighty_skeetadon • 4 days ago
The jump from 3.5 Flash to 3.7 is insane -- it's really not comparable.
Highly recommend trying it in Antigravity.
1 more reply WonderboyUK • 4 days ago
Having just started using it, it's much better coding.
2 more replies 12 more replies u/shopify • Promoted Wondering how to turn your new customers into loyal fans? Swipe to learn from Shopify. shopify.com Sign up Singularity-42 • 4 days ago Singularity 2042 Top 1% commenter
Honestly 3.6 has been pretty good for my product because of how fast it is while being decent enough
3 more replies amitsingh80108 • 4 days ago
Google really making something bigger for pro model...
Admirable_Market2759 • 4 days ago
I think they’re going to jump to 4 pro.
They were supposed to release 3.5 over a month ago. It’s almost certainly outdated at this point.
2 more replies Iuseburnersbruh • 4 days ago
someone tell me how to feel are we back?
Every_Foundation5197 • 4 days ago
Uhh I'd say we are good, if they manage to continuously drop a new flash model every few weeks with the same improvement or even more
kensanprime • 4 days ago
Back in what? Leaderboards? Users of free plan? Paying users?
Give it a few months all enterprise will switch to a Chinese model or go for the cheapest of these flash models. Every harness now has a smart router to handle the costs and limit uneccesary use of pro models. Bulk of the work will be done by the flash models.
DelphiTsar • 3 days ago
219% faster than Luna and 107% higher artificial analysis score.
If you need something fast this is the clear choice at the moment.
6 more replies u/kalshi_official • Promoted 2028 PRESIDENTIAL ELECTION ODDS: Check today's latest moves on Kalshi.com Learn more kalshi.com Profanion • 4 days ago
What made it score so high on these?
Tysonzero • 3 days ago
Seems like that’s the kind of thing they’re optimizing for, which kinda fits with their business needs, they aren’t trying to steal the $200/month anthropic subscribing software devs.
Dreamerlax • 3 days ago
I know it's shocking but there are other uses for LLM other than coding.
ApexFungi • 4 days ago
I am genuinely curious though. Do people expect that these models will just keep scoring slightly better on benchmarks each version up and then suddenly it becomes AGI or what? I just don't see that as realistic. Surely something else needs to be added to the sauce?
Kronox_100 • 4 days ago
I think what they're hoping happens is they become so good at coding that they can find the 'sauce' that'll get us to ASI.
unicynicist • 4 days ago
The "sauce" is closing the recursive self-improvement loop. Right now the sauce is a human in the loop, acting as the evaluator.
ShAfTsWoLo • 4 days ago Top 1% commenter
i believe that aswell, perhaps the fastest path isn't finding AGI through human breakthroughs but instead if we could have llm's that are so good they can RSI themselves into AGI, tbh that's a hell of a weird thing but if it works good for us lol
2 more replies 1 more reply LinkesAuge • 4 days ago
No because the goalposts will continue to shift as there is no clean/obvious definition of "AGI". Models will just cover more and more knowledge work and at some point it will be just hard to deny that fact and then we will probably say "guess it is AGI".
I feel we just have made "AGI" too big in itself and now it is essentially ASI because with the standard we have recently that (can literally do any intelligence task better that any human could) it is so extensive and broad that it is impossible for AGI not to be ASI due to the nature of how scalable any AI system is.
Originally AGI was just meant to separate itself from "narrow" AI, ie expert systems, that is what the "G" stands but but "general" doesn't or didn't mean that AGI necessarily has to exceed humans in everything or do everything, just that this sort of AI was strong enough to be viable across domains and be able to transfer intelligence from one to the other as well as have self-controlled learning.
So based on that definition we really "just" miss the self-controlled learning part and we would literally already meet at the "original" AGI definition (and the self-controlled learning is what would then lead to actual ASI).
1 more reply Gotisdabest • 4 days ago
There's already pretty clear cases of frontier models speeding up research and development by not insignificant multipliers. And of these models solving new problems. That will inevitably lead to further improvement. What you need from this exact style of model is the way upto recursive self improvement.
Even removing that though, consider how fast these small updates are coming out these days. Even just as long as that keeps improving and say, by 2028 weekly to biweekly small upgrades a common, you'll see something pretty incredible when comparing a model at the start and end of the year.
12 more replies Herect • 4 days ago
Demis Hassabis version of AGI was just models getting better on a bunch of activities until we couldn't think of anything else to test them on.
theEvilUkaUka • 4 days ago • 4 days ago Edited
I recall him saying a bunch of times that he thinks there's still a few breakthroughs that need to happen, rather than agi just from scaling the current paradigm.
And he said that's why Google Deepmind was best positioned, since they can push to the fullest on both, scaling and having the best talent to push on other research (which can be argued aged like milk, considering the talent exodus and him no longer being ceo probably due to that and lagging behind on the current hot LLM use cases like coding).
the_mighty_skeetadon • 4 days ago
This is 100% correct. He said this very publicly just a few months ago at Y Combinator:
https://www.youtube.com/watch?v=JNyuX1zoOgU
Recommended watch, and I agree with Demis's take there.
Bright-Search2835 • 4 days ago
Those numbers going up mechanically unlock better current capabilities, new capabilities, and potential for new things becoming automated, especially for research labs. Then when research is entirely automated, yeah I'd give artificial geniuses thinking 24/7 way faster than us a better chance of finding the special sauce for AGI than us.
Flaxseed4138 • 4 days ago
That's what happened with humans baby.
domdod9 • 4 days ago
Like medical advances, advances in AI are typically compounding small advancements instead of a ton of crazy sensational breakthroughs like reasoning models. With every model release they slowly put more small tweaks in that will eventually when looked through a long period of time will be very large advancements.
no_witty_username • 3 days ago
The harness is that something extra bud, and they are improving very fast... we are all very close to seeing some real crazy shit.
TheDemonic-Forester • 3 days ago
AGI will likely not be an LLM.
rollk1 • 4 days ago
These models won't become AGI, they're two totally separate things. These LLMs are just a stop-gap until AGI.
9 more replies JunkInDrawers • 4 days ago
Takeaway is that people on Twitter with anime profile pictures aren't a trustworthy source.
Google is a profit machine. Google's focus has to be on efficiency. If 3.5 pro is only a small increment improvement over the flash versions at 10x the cost and requires more data centers to support then it's not worth deploying.
They're going to utilize their current available resources efficiently understanding the potential pitfall of overcomitting on the current generation of AI when the next year's models will overshadow them anyway.
Dreamerlax • 3 days ago
You mean my boy Dan isn't a credible source.
/s
zslszh • 4 days ago
At this rate we’ll have 3.8 by September
ShAfTsWoLo • 4 days ago Top 1% commenter
given the circumstances where new models are dropping like crazy, it wouldn't be that much of a surprise lol
badumtsssst • 4 days ago AGI 2027
Before then I hope, AGI is taking too long
Sulth • 3 days ago
At this rate it will be next week. From 2 months between 3.5 and 3.6 to 20 days between 3.6 and 3.7. Next one should be around a third of 20 days, so next week.
Snoo26837 • 4 days ago ▪️ It's here
Enough flash models
No-Meringue5867 • 4 days ago
Google has trillion dollar moat - their search. For them, producing fast models that makes Gemini results cheaper is much more important than being frontier at coding. Sure, coding is important but if they manage to make models dirt cheap and give good AI result on Search, they are making money by default.
Asteroid_picks_you • 4 days ago
Are all these flash models for Enterprise customers or something, I never once used one on purpose? Maybe I have when doing a google search?
johannthegoatman • 4 days ago
Yea they're for search , chatting, and integration with Google products. They can code but I don't think that's the focus at the moment
MGJohn-117 • 4 days ago
Maybe I have when doing a google search?
That's exactly where most of their flash usage is coming from. Serving up AI overviews for billions of users is expensive and if they can increase the capabilities of flash models while likely making it cheaper internally as well, then they have every incentive to keep releasing new flash models. Combined with a ton of free users in the Gemini app, Gemini website, Chrome, etc, that's a lot of usage that flash models - both current and future ones - are perfectly fine for.
Enough-Beginning3687 • 5 hours ago
All my engineers use flash for all corporate agentic tasks but none of them use it for code.
BenevolentCheese • 4 days ago
We are seeing the world's first simultaneous race to the bottom+top. What a (worrisome) time to be alive! Costs are plummeting even while technological capability skyrockets. The future is uncertain, whether its from AI takeover, the market cratering, economic collapse, or good ol' politics, too many timelines look as if they lead to the failure of humanity. Buckle up!
Gigibossu • 3 days ago
Not so bad
ObiWanCanownme • 4 days ago now entering spiritual bliss attractor state Top 1% commenter
I mean, looks fine. Clearly Google has the talent and data where they could train a competitive 10T model if they really wanted to.
My strong suspicion is that they're just too conservative and don't want to drop $10 billion on a training run that could fail.
And so they'll keep training better and better small models and charging more and more for compute, and making better and better chips, and they'll make a ton of money but they will lose the AGI race.
OKMiddleOwl • 4 days ago
Google is getting a healthy cut from OAI and and an even healthier one from Anthropic. At the highest level, you can make the case that Gemini just isn't that big of a priority.
Their cloud offering is bringing in so much money, and they get paid so much for each new GPU/TPU they bring online that it's almost painful to not being selling every electron of compute.
Imagine you had a fresh squeezed lemonade stand where there was a line around the block for it, and people were paying $500/cup. How much lemonade would you drink yourself? That's kinda where google is.
KhoslasBiggestOpp • 4 days ago • 4 days ago Edited
This is the most ridiculous take I’ve heard.
$10B in the race to AGI/ASI is mere pennies for Google when compared to the potential to make trillions back long-term with a good enough model. They’ve sunk billions more into sillier projects that they know they’ll fail and kill within a few years.
They’ve been bleeding talent on the training side, restructuring their DeepMind division, and some engineers jumping boats to competitors.
I don’t think they’re conservative, I just think they’ve lost the sauce they had when they released 2.5 Pro
DailyThreadBot • 4 days ago
with the potential to make trillions back with a good enough model
A good model wouldn't make trillions, it would be obsolete in 6 months
3 more replies ObiWanCanownme • 4 days ago now entering spiritual bliss attractor state Top 1% commenter
It's not just pennies for Google. $10B is the entire amount of dividends they paid in 2025. Sure, the potential upside is huge. But it's also the difference between paying a dividend in 2026 and paying no dividend in 2026. For a public company, that's a big deal.
Acrobatic-Tomato4862 • 4 days ago
Their 3 and 3.1 pro were also state of the art and far beyond competition when they were released. They seemed to have fucked up only recently.
1 more reply Current-Function-729 • 4 days ago Top 1% commenter
Yeah. If it’s really that, holy shit someone needs to be fired.
KhoslasBiggestOpp • 4 days ago
Believe me, that “someone” wasn’t fired, they quit for another company. Once Tibo and Jeff Dean left it was over for them.
1 more reply ObiWanCanownme • 4 days ago • 4 days ago Edited now entering spiritual bliss attractor state Top 1% commenter
Why? Their job is to maximize value for shareholders. Once ASI comes, money is of questionable value anyway. Seems like Google is doing a pretty damn good job of maximizing shareholder value in the meantime.
2 more replies trololololo2137 • 4 days ago
trillions back long-term with a good enough model
models last like a month before being outdated nowadays lol. the training expenses never stop
1 more reply himynameis_ • 4 days ago
strong suspicion is that they're just too conservative and don't want to drop $10 billion on a training run that could fail.
This is exactly it. They are investing their compute into their Google Cloud platform customers instead of for deep mind. So they will likely Fall a bit behind but in theory they should stay not too far off from the top.
5 more replies Living-Breakfast-464 • 4 days ago • 4 days ago Edited
What is the current quota usage per day on a pro plan as opposed to pay-as-you-go?
superlip2003 • 3 days ago
it looks to me we are not seeing Gemini Pro till 4.0 lol
greeneditman • 3 days ago
You're obsessed with AI performance in creating code. But not everything is code.
I understand complex concepts in psychology and medicine, and based on my interactions, I can assure you that Gemini 3.6 Flash performs very well, and it's incredible that it's almost free on the gemini.google.com platform.
If they now update it to Gemini 3.7 with those improvements, it'll be fantastic.
Dry_Fly_7265 • 4 days ago
Man, when Google drops Gemini running inference in multiple universes on willow yall look out
Created Jan 28, 2008 Public 690K 14K User flair 1llegi R/SINGULARITY Rules 1 Off-Topic Posts 2 Self-Promotion/Advertising Spam 3 Low-quality/Wildly Speculative Posts 4 No Flamebaiting or Hate 5 No fear-mongering about AI and its impact. This is a pro-AI sub. SIDEBAR Official r/Singularity Discord
Links Artificial Intelligence Space Settlement Space Flight Cosmology Space Videos Cyborgs Cyberpunk
All the Sciences
Futurism
FuturePorn
Imaginary Technology
Retro Futurism
The Control Problem
Singularity Singularity
Robotics
A subreddit committed to intelligent understanding of the hypothetical moment in time when artificial intelligence progresses to the point of greater-than-human intelligence, radically changing civilization. This community studies the creation of superintelligence— and predict it will happen in the near future, and that ultimately, deliberate action ought to be taken to ensure that the Singularity benefits humanity.
On the Technological Singularity
The technological singularity, or simply the singularity, is a hypothetical moment in time when artificial intelligence will have progressed to the point of a greater-than-human intelligence. Because the capabilities of such an intelligence may be difficult for a human to comprehend, the technological singularity is often seen as an occurrence (akin to a gravitational singularity) beyond which the future course of human history is unpredictable or even unfathomable.
The first use of the term "singularity" in this context was by mathematician John von Neumann. The term was popularized by science fiction writer Vernor Vinge, who argues that artificial intelligence, human biological enhancement, or brain-computer interfaces could be possible causes of the singularity. Futurist Ray Kurzweil predicts the singularity to occur around 2045 whereas Vinge predicts some time before 2030.
Proponents of the singularity typically postulate an "intelligence explosion", where superintelligences design successive generations of increasingly powerful minds, that might occur very quickly and might not stop until the agent's cognitive abilities greatly surpass that of any human.
Resources Machine Intelligence Research Institute LessWrong Check out the Technological Singularity FAQ Moderators Message the moderators u/Anenome5
Decentralist Anenome u/Anen-o-me
▪️It's here! u/DnDNecromantic
▪️Friendly Shoggoth u/Apollo24_
▪️ Apollo24 u/abrownn
2026 (Not actually) Alton Brown u/Vailhem u/bot-bouncer View all moderators Installed apps Bot Bouncer Reddit Rules Privacy Policy User Agreement Your Privacy Choices Accessibility Reddit, Inc. © 2026。All rights reserved. Collapse “Navigation” Create communities Games on Reddit Customize feeds Create custom feed Recent visits r/opencodeCLI r/chrome r/Notion r/todoist Communities Manage communities Resources About Reddit Advertising Developer platform Reddit Pro Beta Help Blog Careers News Reddit Best Reddit Rules Privacy Policy User Agreement Your Privacy Choices Accessibility Reddit, Inc. © 2026. All rights reserved.
This document archives source material and does not represent an endorsement of the source's conclusions by Tabbit or its maintainers. When citing benchmark scores, prices, or model capabilities, return to the original source to confirm the version, test set, and date.
Gemini 3.7 Flash
