It's also the only model that generates accurate translation and localization. No other frontier model comes close. Although Gemini's coding capabilities are subpar, its natural language processing is top-tier.
Agreed. My impression is that the more verbose output of sol, astra etc is that it helps it steer itself on long running tasks (but is worse for the human user to read)
We have an agentic system that produces insights for end users, and runs most of its work on DeepSeek v4.1 Flash but as an output stage transforms the resulting text through Gemini 3.8 Flash for readability, and it works.
On my TODO is try and run all of the analysis pipeline in dense "machine speak" to save on tokens and just let Gemini sort it out at the end.
Wondering if people have managed to have Gemini in-front of other models like claude/codex models and only interact with that. Having Gemini act as a pure human/llm translator.
Not a great impression to have your demo video demonstrate how one of your 'most advanced' AI models loses to the most common check-mate pattern in all of chess.
Seems more than good enough for a live model though! I can imagine this demo being extended to be a lot nicer to play with. You can just feed the model engine analysis and it can make as high of quality moves as needed. No longer any correlation between the model's understanding of the position and the moves that would be made but I think that's still a really nice improvement when thinking about this as adding live voice interaction to existing chess vs computer functionality rather than adding chess to possible interactions with the latest live voice model.
I wonder when/if we’ll see Gemini beating Fable and Astra. Last year I would have confidently bet Google will overtake the others just because they have the data, the hardware (TPUs) and a fat advertising money pipe and yet they are still behind. Anyone anonymous at Google want to hint when Gemini 4 will be out?
As an "everyday mans AI" I'd say 3.8 Flash definitely already has. Smart enough for the vast swath of people, and only slightly eeked out by Astra(Max) on vision capabilities, like the kind of "Point your camera at something and ask questions" that non-tech people like to do. It's crazy fast and very compute light, so not getting bogged down constantly.
I can't think of a better general purpose model than 3.8 flash right now. It also writes more naturally than the other big models too.
To me it's a good replacement for search engines. I ask it things like 'If redshifting destroys energy ala Noether, than how can we say that time is reversible or that entropy will find an equilibrium?' and it will not only explain, but make nice interactive diagram/toys to help. A regular search engine would have taken me hours to find an answer.
However, if I want it to DO something then Gemini is in absolute last place. I don't trust it for anything more than renaming files that I don't care about very much or extracting data (though it's too expensive for data extraction at scale).
Not sure what your comment mean in the context of parent's comment.
As opposed to what, them not having it and burning money that isn't their instead like openai and anthropic? At least Google is feeding itself instead of having to create a bubble to stay alive
Google has in excess of $121 billion of cash (& equivalents), net of total debt.
Big rich companies take on debt for reasons that are sometimes inscrutable from the outside. Recently, they have been borrowing for ~5%, about a half point above what the US government gets for 10-year Treasuries.
Apple has been financing operations with debt for a number of years as part of a complex optimization plan.
Which is still a better position that the others? My point is you can't consider that a bad thing if you think it's ok for their competitors in the field. And if you don't and your judge them equally, then at least Google has its own cash glow and could turn the gas off at any point to go back to printing money while they have not choice.
Gemini's Live Mode is already much better than GPT Voice in my personal experience, even though it was much dumber. It really does feel like talking to a real person. ChatGPT keeps humming to whatever I say and has some weird voices.
Excited to try this out! Shame on Google for not releasing Gemini 3.8 for Google AI Plus users yet, though.
I have been looking for a model that's good for GUI testing. Original computer use isn't right because it's a slow screenshot loop, which doesn't capture transition and animation. Docs says this one does up to 1 FPS. That might be fast enough. If not now, we must be within a few months of high enough sample rates to do it.
It's a slop factory over there apparently. We were sent the greatest slop deck of all time from their sales team. We now have a :cursed-claude: from a slide where they said "we have access to state of the art models like Claude 3" and nanobanana's interpretation of what Claude looks like as a person. It was clear the person had only read a handful of the nearly 40 slides
I've been asking the same about the open weight models, we're buying our tokens from others now, though I think those people are renting hardware from Google in the end anyway
Would you mind expanding on this? I thought Google changed the name to 'Gemini Enterprise Agent Platform', and altered focus to 'agent governance' workflows, but that there were no breaking changes from what was offered with Vertex AI.
My Gemini app is still stuck at 3.5 Flash-lite and 3.6 Flash so I truly don't understand how Google rolls this stuff out. I don't use Gemini for anything serious so I'm not going to use the API, but it's my go-to for just searching basic information (replacing google search) because it's so darn fast.
Yeah still on 3.6 here too, this is like the 4th or 5th model Google has announced since they last gave me access to the latest. And I pay for pro too!
So I am building a voice assistant to control AI harnesses, and recently tried switching from GLM 5.3 Flash to Gemini 3.8 Flash because of higher tok/s and better rate limits. Before that I also used Kimi K3 and DeepSeek-V4-Flash-0731.
Let me tell you unlike every other mentioned model Gemini 3.8 Flash trial had to be reverted the same day. Instead of simply delegating tasks it would invent additional requirements and implementation details it knew nothing about and no amount of convincing not to do it would work. That's the first time a model failed on me so spectacularly despite having practically same Artificial Analysis Intelligence Index as another model that just worked (and higher than working DS Flash).
The reason I think it is relevant is: Live is likely even stupider model in every way possible (except hearing better than separate STT). So beware using it for agentic scenarios.
I'm disappointed with "Extended Thinking" for 3.8 Flash. On the plus side, it's a strong general-purpose model and the cost-benefit is still compelling.
However, the "Extended Thinking" should be renamed to "Slightly Extended Thinking". Considering that it's the maximum thinking option for Gemini Flash in the chat UI, it doesn't actually think a whole lot, leading to an uncomfortably high number of incorrect/poor replies.
All audio generated by our AI products is watermarked with SynthID. This imperceptible watermark is woven directly into the audio output, ensuring AI-generated content remains detectable to help prevent misinformation. For details on our approach to safety and responsibility, review the model card.
They should just give up at this point, it's just embarrassing to watch.
As PrimeTime said; these are the guys that invented the 'T' in 'GPT', that deployed their first TPU in 2015, that is using billions on AI - and they are beaten by 300 people startup named Moonshot AI even. People are going to write books about this complete fumble.
They have "unlimited" resources and has researched AI since the very beginning - PageRank is a form of AI even. And still, Gemini is behind Claude, GPT, Grok, Muse, GLM, Kimi and is maybe on par with DeepSeek?
If RSI is achievable, it will leapfrog everything produced so far and so it will make sense to focus on RSI instead of incremental improvements for your top model. Startups need investment and need to show progress. Google does not at the moment need to take lead in the current race.
No one is behind grok. It literally has "be funny and irreverent when appropriate" (whatever the hell "when appropriate" means for them) baked into the system prompt. To me, that is all you need to know about how useful it is.
No serious people use it and the numbers bear it out tbh. It has the smallest market share of the "big companies" for a reason - and it's by a very, very large margin (~2.5% last I checked).
Have you used Google search at all on the past few months? Every single search brings up a live chat prompt. They're serving fast AI to billions of users at huge scale everyday
And they're making money doing it.
Perhaps they don't have the best coding model right now (although 3.8 flash is arguably SOTA at some benchmarks), but is that the be-all and end-all of AI? Only coding matters?
It’s so annoying that everyone just points to the Artificial Analysis index (or even worse, Epoch AI, where part of the score is how good the AI is at chess) as a proxy for “how good” the model is.
And yet they might become one of the winners "in the end" because they have near infinite money and others have not. I will drink tea and watch the show.
I love talking to chatgpt voice mode. Voice to voice AI is the only big leap that I see after the RL trained coding models.
Gemini is underrated in that it produces the only prose that is somewhat bearable to read.
It's also the only model that generates accurate translation and localization. No other frontier model comes close. Although Gemini's coding capabilities are subpar, its natural language processing is top-tier.
In my experience, with minimum prompting, deepseek also generates very decent text.
For heavyweight work I have been using Astra, but for rabbit holes and brain storming Gemini is far more enjoyable to interact with.
I'm worried in their push to catch up on the SOTA front, it's going to lose that natural sounding touch it currently has.
Agreed. My impression is that the more verbose output of sol, astra etc is that it helps it steer itself on long running tasks (but is worse for the human user to read)
Mostly because it answers quickly and is more agreeable (too agreeable at times).
Meanwhile Claude and Astra like to couch all their agreements with caveats and provisos.
> Meanwhile Claude and Astra like to couch all their agreements with caveats and provisos.
Sometimes that's what being smart sounds like.
Good news then, I don't think they're in a hurry to catch up to SOTA.
Does anyone know if there is a dedicated model which makes Claude output nore human readable and less slop?
Lately it became load-bearingly-reality-difficult to not only read, but to comprehend the Claude output
We have an agentic system that produces insights for end users, and runs most of its work on DeepSeek v4.1 Flash but as an output stage transforms the resulting text through Gemini 3.8 Flash for readability, and it works.
On my TODO is try and run all of the analysis pipeline in dense "machine speak" to save on tokens and just let Gemini sort it out at the end.
Wondering if people have managed to have Gemini in-front of other models like claude/codex models and only interact with that. Having Gemini act as a pure human/llm translator.
Not in the principled sense you mean but I have in fact recently started having Gemini explain to me what Claude is talking to me about, lol.
Not a great impression to have your demo video demonstrate how one of your 'most advanced' AI models loses to the most common check-mate pattern in all of chess.
agree that it’s a weird choice, but more because i don’t need my chat model to play chess at all when chess engines exist.
Seems more than good enough for a live model though! I can imagine this demo being extended to be a lot nicer to play with. You can just feed the model engine analysis and it can make as high of quality moves as needed. No longer any correlation between the model's understanding of the position and the moves that would be made but I think that's still a really nice improvement when thinking about this as adding live voice interaction to existing chess vs computer functionality rather than adding chess to possible interactions with the latest live voice model.
I wonder when/if we’ll see Gemini beating Fable and Astra. Last year I would have confidently bet Google will overtake the others just because they have the data, the hardware (TPUs) and a fat advertising money pipe and yet they are still behind. Anyone anonymous at Google want to hint when Gemini 4 will be out?
As an "everyday mans AI" I'd say 3.8 Flash definitely already has. Smart enough for the vast swath of people, and only slightly eeked out by Astra(Max) on vision capabilities, like the kind of "Point your camera at something and ask questions" that non-tech people like to do. It's crazy fast and very compute light, so not getting bogged down constantly.
I can't think of a better general purpose model than 3.8 flash right now. It also writes more naturally than the other big models too.
Yeah its good. Reasonably priced too (at current prices, if they do raise them in January I would stop recommending it). 3.7/3.8 were good releases.
To me it's a good replacement for search engines. I ask it things like 'If redshifting destroys energy ala Noether, than how can we say that time is reversible or that entropy will find an equilibrium?' and it will not only explain, but make nice interactive diagram/toys to help. A regular search engine would have taken me hours to find an answer.
However, if I want it to DO something then Gemini is in absolute last place. I don't trust it for anything more than renaming files that I don't care about very much or extracting data (though it's too expensive for data extraction at scale).
If Google didnt have their ad buisness theiy'd be out by now. They're like BlackBerry and Nokia at this point almost.
Not sure what your comment mean in the context of parent's comment.
As opposed to what, them not having it and burning money that isn't their instead like openai and anthropic? At least Google is feeding itself instead of having to create a bubble to stay alive
Google spent most of their cash, they are now taking loans for data centers too. They recorded their first quarter of negative cash flows ever
Google has in excess of $121 billion of cash (& equivalents), net of total debt.
Big rich companies take on debt for reasons that are sometimes inscrutable from the outside. Recently, they have been borrowing for ~5%, about a half point above what the US government gets for 10-year Treasuries.
Apple has been financing operations with debt for a number of years as part of a complex optimization plan.
No, Google is not broke.
Which is still a better position that the others? My point is you can't consider that a bad thing if you think it's ok for their competitors in the field. And if you don't and your judge them equally, then at least Google has its own cash glow and could turn the gas off at any point to go back to printing money while they have not choice.
Maps, Waymo, TPUs, YouTube, Docs, GMail, Cloud, Android, Chrome, Photos...
Gemini's Live Mode is already much better than GPT Voice in my personal experience, even though it was much dumber. It really does feel like talking to a real person. ChatGPT keeps humming to whatever I say and has some weird voices.
Excited to try this out! Shame on Google for not releasing Gemini 3.8 for Google AI Plus users yet, though.
OpenAI just released the new full duplex mode to the API as gpt-live-1 or something like that. Very realistic.
Our company's Google Workspace Business only offers 3.6 flash & thinking in the Gemini App. Has anyone else seen 3.7 or 3.8 roll out?
I have access to both, benchmarks are actually better on 3.7 for my task, but happy improvement over the others.
I have been looking for a model that's good for GUI testing. Original computer use isn't right because it's a slow screenshot loop, which doesn't capture transition and animation. Docs says this one does up to 1 FPS. That might be fast enough. If not now, we must be within a few months of high enough sample rates to do it.
They can't even vibecode a working VS Code extension for Gemini.
Nothing but constant errors with cryptic messages.
It's a slop factory over there apparently. We were sent the greatest slop deck of all time from their sales team. We now have a :cursed-claude: from a slide where they said "we have access to state of the art models like Claude 3" and nanobanana's interpretation of what Claude looks like as a person. It was clear the person had only read a handful of the nearly 40 slides
Great tech but the voice is like nails on a chalkboard to me
Which one? I like Eclipse
Did anybody watch the Primeagen's video on Google bag-fumbling? Interesting they released on the same day!
When will it be available on Vertex?
I've been asking the same about the open weight models, we're buying our tokens from others now, though I think those people are renting hardware from Google in the end anyway
vertex is dead, for good reason too
Would you mind expanding on this? I thought Google changed the name to 'Gemini Enterprise Agent Platform', and altered focus to 'agent governance' workflows, but that there were no breaking changes from what was offered with Vertex AI.
My Gemini app is still stuck at 3.5 Flash-lite and 3.6 Flash so I truly don't understand how Google rolls this stuff out. I don't use Gemini for anything serious so I'm not going to use the API, but it's my go-to for just searching basic information (replacing google search) because it's so darn fast.
Yeah still on 3.6 here too, this is like the 4th or 5th model Google has announced since they last gave me access to the latest. And I pay for pro too!
So I am building a voice assistant to control AI harnesses, and recently tried switching from GLM 5.3 Flash to Gemini 3.8 Flash because of higher tok/s and better rate limits. Before that I also used Kimi K3 and DeepSeek-V4-Flash-0731.
Let me tell you unlike every other mentioned model Gemini 3.8 Flash trial had to be reverted the same day. Instead of simply delegating tasks it would invent additional requirements and implementation details it knew nothing about and no amount of convincing not to do it would work. That's the first time a model failed on me so spectacularly despite having practically same Artificial Analysis Intelligence Index as another model that just worked (and higher than working DS Flash).
The reason I think it is relevant is: Live is likely even stupider model in every way possible (except hearing better than separate STT). So beware using it for agentic scenarios.
I'm disappointed with "Extended Thinking" for 3.8 Flash. On the plus side, it's a strong general-purpose model and the cost-benefit is still compelling.
However, the "Extended Thinking" should be renamed to "Slightly Extended Thinking". Considering that it's the maximum thinking option for Gemini Flash in the chat UI, it doesn't actually think a whole lot, leading to an uncomfortably high number of incorrect/poor replies.
Ensure transparency with SynthID watermarking
All audio generated by our AI products is watermarked with SynthID. This imperceptible watermark is woven directly into the audio output, ensuring AI-generated content remains detectable to help prevent misinformation. For details on our approach to safety and responsibility, review the model card.
It’s little to do with misinformation and much to do with trying to keep their model from collapsing from ingesting too much slop.
"Thinking" Good one.
They should just give up at this point, it's just embarrassing to watch.
As PrimeTime said; these are the guys that invented the 'T' in 'GPT', that deployed their first TPU in 2015, that is using billions on AI - and they are beaten by 300 people startup named Moonshot AI even. People are going to write books about this complete fumble.
None of the startups are profitable. What exactly are they getting beaten at?
My advice is to listen less to brainrot 'influencers' that optimise for engagement through sensationalism.
Intelligence.
They have "unlimited" resources and has researched AI since the very beginning - PageRank is a form of AI even. And still, Gemini is behind Claude, GPT, Grok, Muse, GLM, Kimi and is maybe on par with DeepSeek?
As I said, it is embarrassing.
If RSI is achievable, it will leapfrog everything produced so far and so it will make sense to focus on RSI instead of incremental improvements for your top model. Startups need investment and need to show progress. Google does not at the moment need to take lead in the current race.
> Grok
No one is behind grok. It literally has "be funny and irreverent when appropriate" (whatever the hell "when appropriate" means for them) baked into the system prompt. To me, that is all you need to know about how useful it is.
No serious people use it and the numbers bear it out tbh. It has the smallest market share of the "big companies" for a reason - and it's by a very, very large margin (~2.5% last I checked).
Have you used Google search at all on the past few months? Every single search brings up a live chat prompt. They're serving fast AI to billions of users at huge scale everyday
And they're making money doing it.
Perhaps they don't have the best coding model right now (although 3.8 flash is arguably SOTA at some benchmarks), but is that the be-all and end-all of AI? Only coding matters?
It’s so annoying that everyone just points to the Artificial Analysis index (or even worse, Epoch AI, where part of the score is how good the AI is at chess) as a proxy for “how good” the model is.
Their live models have been and continue to be at the frontier. I like them a lot!
It makes Meta look not that bad.
And yet they might become one of the winners "in the end" because they have near infinite money and others have not. I will drink tea and watch the show.
> they have near infinite money and others have not
Given the very high margins on inference, once volume is large enough the other can also start printing enough money.