3.7 Flash feels insanely fast — but is it hallucinating more than 3.6?

One-sentence takeaway

After long-term use of Gemini 3.7 Flash Extended, the user reports a marked improvement in response speed while asking whether there is a trade-off between speed, reasoning depth, and hallucinations.

Note: The author explicitly says this is a personal observation, not a formal benchmark.

Original article

The following preserves the body text extracted during this visit; visible page text such as navigation, the platform's automatic translation, and comments is retained as-is.

Skip to main content 3.7 Flash feels insanely fast - but is it hallucinating more than 3.6? : r/GeminiAI Advertise on Reddit Open chat Create Create a post Open inbox Expand user menu Repost Go to “GeminiAI” r/GeminiAI • 20 hours ago Heisenricher 3.7 Flash feels insanely fast - but is it hallucinating more than 3.6? Discussion

I’ve been using Gemini 3.7 Flash Extended in the Gemini app, and one thing that really surprised me is how insanely fast it responds, even in Extended/reasoning mode.

But this also made me wonder: is 3.7 Flash actually hallucinating more than 3.6?

This is just my personal observation and suspicion, not a proper benchmark. Compared with 3.6, 3.7 feels noticeably faster to me, but sometimes I get answers that make me stop and think, “Did it actually reason this through, or did it just arrive at an answer very quickly?”

I’m especially curious about whether the extra speed comes with any trade-off in reasoning depth, factual accuracy, or hallucination rate.

For people who have used both 3.6 Flash and 3.7 Flash, especially Extended mode:

Have you noticed 3.7 hallucinating more?

Or is it simply much faster while maintaining the same level of reasoning/accuracy?

I’d really like to hear your actual experience rather than just benchmark results.

Share Kurrent-dot-io • Promoted Capacitor is a free multiplayer shared coding session memory across Claude, Codex, Cursor, Pi, OpenCode and more. See more kurrent.io Sort by: Comments section: Dr-Fix • 19 hours ago

At least you have it...

Different-Rush-2358 • 19 hours ago

I think this model became exclusive to the paid tier, just like the video generator that was quietly removed from the free tier

DeArgonaut • 18 hours ago

as a non-paid user, I don't see it in the main gemini app, but i do see it in ai studio

rafark • 2 hours ago

Ai studio always has all the models (idk about video models though)

Chubz79 • 7 hours ago

I’m on a paid tier and don’t have it

Different-Rush-2358 • 6 hours ago

Pro? Or ultra?

theobiwanjacobi • 3 hours ago

I have Pro and still don't see it yet.

CloselyExtraneous • 4 minutes ago

Bro still rocking the old model list, that rollout is slower than a carbureted cold start

SabbbT • 19 hours ago

I’ve been using 3.7 Flash without extended thinking for everyday queries, and it’s been fantastic.

I don't use it for heavy coding or complex science questions, just general daily tasks and lookups, and I haven't noticed any hallucinations myself. It’s been super fast, accurate, and completely reliable for standard use without even needing the extended mode turned on.

durielvs • 19 hours ago

The only thing I've noticed is that it uses more of my 5-hour limit and seems to have more spelling errors, at least in Spanish.

u/Genspark_AI • Promoted Paste your LinkedIn. Get a pitch deck where the team slide pulls from your actual background. Sign up genspark.ai Queasy_Efficiency_17 • 17 hours ago

for me both flash and pro seem so much faster but less precise

TheAuthorBTLG_ • 19 hours ago

For me it is both. If it does what I tell it to do, then it's very fast and the result is good. But often when I tell it to go through my to-do list, it does the first thing and ticks off the rest without doing anything. When I ask it, it says it's done and it's just lying. I don't know why, so I need a second AI to take care of it.

cheseball • 16 hours ago

Is that on Gemini chat or Google ai studio/antigravitty/api?

Gemini chat has very heavy context pruning so it might be cutting the context of the to do list away after it finishes the first item.

But if through the other sources, then it’s more likely the model itself.

mlag000 • 18 hours ago

How could it be ? Google fanboys all claim 3.7 is so good !

Strange, feels like Gemini is still Gemini after all

TheAuthorBTLG_ • 18 hours ago

It does require a bit more babysitting than the smarter models. It doesn't seem to really know what it's doing beyond a certain scope. But as long as you stay below it, it's very good.

Virtual_Plant_5629 • 18 hours ago ShadowCatZeroMeow • 19 hours ago

It has been better for me but I don't use extended thinking mode, it felt like it was not finished, my gemini would constantly question itself in the thinking and do weird stuff, felt like I was beta testing the extended thinking feature

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Benchmarks for G 3.7 Flash show that on High / Extended reasoning effort the model can become less intelligent, likely due to overthinking:

It seems that turning on that setting causes the model to overthink, so the model starts with a correct answer then keeps exploring and talking itself into an incorrect one. Longer chains of of thought give more opportunities for an incorrect assumption to enter the reasoning and extra reasoning can make the model consider unlikely interpretations and move away from the factually correct answer.

However, unlike what the benchmarks show, I personally haven't noticed this while using it. But you might be onto something if you do.

Ok-Pineapple4998 • 19 hours ago

I spent some time on it yesterday, and it has once to give me a legitimate answer to anything. I find it to be a hallucination/nonsense generator. Fun, if you're into that.

Mysterious_Bed_1804 • 18 hours ago

I do encounter a lot of hallucinations, especially it being stuck on a response and able to change its mind only when proof is submitted.

Dualyeti • 16 hours ago

This is a common misconception users think - they think because it’s not loading it’s doing a half assed job. In reality Google has just made it super efficient, multiple things run in parallel opposed to linearly

theultimatesow • 15 hours ago

Never hallucinated for me so far , though i use it for daily tasks

3Dave_ • 14 hours ago Top 1% poster

I'm currently on holiday, so I'm mainly using Gemini for personal use. I'm using it to compare various articles, do some research, and above all, I'm using it extensively to plan a week-long cycling trip.

I've decided to use only Gemini 3.7 Flash, and I'm getting on extremely well with it. I've noticed an improvement in the quality of the responses and greater integration with the Google ecosystem—pulling information from Google Maps, and using Keep, I could have sworn I'd never seen this integration in previous versions, but I could be wrong.. It has still hallucinated a few times, but compared to Gemini 3.6—which I thought was disastrous in that regard—the result feels much better. With Gemini 3.6, I'd reached the point where I basically couldn't trust any of its answers, forcing me to double check everything it says to see whether they were actually correct or just the classic Gemini responses that just aim to praise the user's request.

Efficient_Loss_9928 • 13 hours ago Top 1% commenter

No, the inference speed is way faster on 3.7. you are just conditioned to expect slow responses.

badass2000 • 13 hours ago

Hmm. I havent had any issues with it. And its working better then 3.1 pro for me.

SnooWoofers7340 • 12 hours ago

it lighting fast im truly impressed, no haluciantion from my end since i started using it.

KV_Cashed • 9 hours ago

I don't know. But giving 3.1 more time to mature helped. The context window count might be secretly filling or just needs a few tweaks. They need to stop the over deployment. It's stupid. Just refine and improve what they got. 4.0 might reset the dang board for all we know.

GoFigure373 • 6 hours ago

No but the general idea is not to go beyond 30-50 prompts per session, if you do plan to do so, create a custom macro/skill that you can use to resync if you are coding with it.

But no, it only went off track once and I was WAY beyond 50 prompts which was just dumb on my part.

Also when it did fail, I reworked the system I use to help it be even more robust.

No-Reading964 • 6 hours ago

Sim, eu uso o Google AI Studio e de forma massiva. O Gemini 3.1 Pro pensa de 24 a 30 segundos, o Gemini 3.5/3.6 Flash tem o mesmo tempo no raciocínio alto, mas o 3.7 pensa por apenas cerca de 10 segundos no alto nas mesmas tarefas que exigem raciocínio, o que é muito pouco! Além disso, ele tem sérios problemas com resumos e ignora algumas instruções. Ele é bom? Sim, mas o problema central é que ele é preguiçoso, e muito, e isso acaba gerando alucinações.

pashlya • 3 hours ago

No, not really. Because of the recent "rugpull" from opencode, I'm excessively testing Gemini Flash 3.7, comparing it to both DeepSeek Flash and Luna, and… it seems fine to me. I definitely recommend to install Ponytail on Antigravity, if you're going to work with a meaningful codebase, but other than that, it's a great low effort model to work with. Google completely lacks mid and high tiers, but that's another story.

rafark • 2 hours ago

I didn’t know a new version released. No wonder 3.6 feels dumber for the past few days now I know why 

Minute_Tip_1617 • 2 hours ago

I use Gemini regularly for my work. After testing 3.7 for a day, the speed and reasoning feel way better, which definitely sped up my workflow. I did run into a bunch of hallucinations yesterday that took some time to doublecheck, but the hallucination rate is still noticeably lower than 3.6.

Namsel • 2 hours ago

For me 3.7 can't search for recent info and it sticks to its knowledge cutoff date, even indirectly calling me a liar for correcting it. It's way worse than what we had.

MyBoiDrew • 47 minutes ago

I specifically test for this on my internal benchmarks. Flash 3.7 hallucinated less on low than high, and the inverse for 3.6. A task that can be done with low thinking is good for 3.7. Something more complex should use 3.6

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Usage notes

This document is an archive of source material and does not represent an endorsement of the original conclusions by Tabbit or the document maintainer. When citing benchmark scores, prices, or model capabilities, return to the original source to confirm the version, test set, and date.