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People who tried Gemini 4 Argon : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x1y2a4/people_who_tried_gemini_4_argon/)
citeturn2view8 [wordlim: 200] Crawled: today; Content type: text/html; Source: open({"ref_id":"turn0view0","lineno":310}); Total lines: 757
L0: cite0†Skip to main content L1:
L2: Open menu Open navigation Go to Reddit Home
L3:
L4: [Input: Search Reddit]
L5:
L6: cite1†Log In Log in to Reddit
L7:
L8: Expand user menu Open settings menu
L9:
L10: cite2†Go to GeminiAI L11:
L12: cite2†r/GeminiAI L13:
L14: • 5d ago
L15:
L16: cite3†u/Folanov L17: # People who tried Gemini 4 Argon
L18:
L19: cite4†Help/question L20:
L21: What are your feedbacks ? beyond those untrusted benchmarks and slopped browser games
L22:
L23: cite5†Share L24:
L25: Sort by:
L26:
L27: Best
L28:
L29: Open comment sort options
L30:
L31: * Best
L32:
L33: * Top
L34:
L35: * New
L36:
L37: * Controversial
L38:
L39: * Old
L40:
L41: * Q&A
L42:
L43: cite6†Zealousideal_Rip_966 L44:
L45: •
L46:
L47: cite7†4d ago L48: Argon is good not frontier level yet. But Google has a lot more training compute now that they realigned the model availabilities each plan. They’re gonna release more frontier competing models than OpenAI and Anthropic and pace them out. Trust. They already have two new checkpoints (Barium and Carbon) and carbon is actually pretty competitive to Opus 5.5 High and Fable 5.1 Max. Never bet against Google
L49:
L50: cite8†dis-interested L51:
L52: •
L53:
L54: cite9†4d ago L55:
L56: It is wicked hot shit at making visualisations and graphs.
L57: cite10†neoqueto L58:
L59: •
L60:
L61: cite11†3d ago L62:
L63: cite12†Image: Profile Badge for the Achievement Top 1% Commenter†i.redd.it Top 1% Commenter
L64:
L65: I don't know if that's praise or criticism.
L66:
L67: cite8†dis-interested L68:
L69: •
L70:
L71: cite13†3d ago L72:
L73: It's praise. It is legitimately insanely good at doing it without being even asked and they are highly useful and interactive.
L74:
L75: cite14†More replies cite15†More replies L76:
L77: cite16†Turbulent-Total-226 L78:
L79: •
L80:
L81: cite17†3d ago L82:
L83: cite12†Image: Profile Badge for the Achievement Top 1% Commenter†i.redd.it Top 1% Commenter
L84: I didn't try it but I know somebody who also didn't try it 🙄
L85:
L86: cite18†Stauce52 L87:
L88: •
L89:
L90: cite19†5d ago L91:
L92: I think it's competitive with Astra and Opus
L93:
L94: cite20†No_Decision_6940 L95:
L96: •
L97:
L98: cite21†4d ago L99:
L100: cite12†Image: Profile Badge for the Achievement Top 1% Commenter†i.redd.it Top 1% Commenter
L101:
L102: That's exciting
L103:
L104: cite22†More replies L105:
L106: cite23†Timely_Summer_4135 L107:
L108: •
L109:
L110: cite24†5d ago L111: played with it a few hours yesterday, the speed is really the kicker here. 3 burst felt sluggish in comparison and this cranks through dense pdfs without burning a hole in my desk.
L112:
L113: cite25†Paschoni L114:
L115: •
L116:
L117: cite26†4d ago L118:
L119: Very competitive, not quite Opus 5.5 level but very close. Not sure about speed and token spending. Overall I think Google finally found the correct trajectories (pun intended)
L120:
L121: cite27†SomeOrdinaryKangaroo L122:
L123: •
L124:
L125: cite28†5d ago L126: cite29†Image: Profile Badge for the Achievement Top 1% Poster†i.redd.it Top 1% Poster
L127:
L128: It's a great model, not quite opus 5.5 level, but it easily matches Astra. There are rumors that Google already has another checkpoint ready that is even better, if that makes its way into Argon or becomes Gemini 4.1 we'll see
L129:
L130: cite30†semangeIof L131:
L132: •
L133:
L134: cite31†5d ago L135:
L136: "Not quite Opus 5.5 level" is really not what I wanted to here for a frontier model that isn't even out yet...
L137:
L138: cite18†Stauce52 L139:
L140: •
L141:
L142: cite32†5d ago L143: I think Opus 5.5 is a better coder but Argon is a better writer FWIW
L144:
L145: cite30†semangeIof L146:
L147: •
L148:
L149: cite33†4d ago L150:
L151: Okay thank god because Opus 5.5 writes really amazing and short form creative is one of my most used AI applications right now. Now I'm excited.
L152:
L153: cite34†touhami_dz L154:
L155: •
L156:
L157: cite35†5d ago L158:
L159: we will see, the problemis that they hyped it so much and it didnt got released yet, that's just frustrating
L160:
L161: cite36†sascharobi L162:
L163: •
L164:
L165: cite37†2d ago L166:
L167: Who needs it for writing?
L168:
L169: cite38†more reply cite38†more reply cite39†More replies L170: cite40†homezlice L171:
L172: •
L173:
L174: cite41†5d ago L175:
L176: I’ve used both and while Opus has a slight edge perhaps, both of them chew up complex problems. This is about reaching a profitable and useful level in the enterprise and argon reaches that level.
L177:
L178: cite42†GhostOfTomJefferson L179:
L180: •
L181:
L182: cite43†5d ago L183:
L184: Google doesn't strive to be frontier, they strive to be near frontier, cheaper, and safer.
L185: They have an enormous and enormously profitable company already, and they would rather someone else take all the heat for riding the bleeding edge
L186:
L187: cite34†touhami_dz L188:
L189: •
L190:
L191: cite44†4d ago L192:
L193: they used to not strive to be frontier, now they are but they are playing catch up
L194:
L195: cite45†more replies cite45†more replies cite46†More replies cite47†More replies L196:
L197: cite48†SeparateDesigner1237 L198:
L199: •
L200:
L201: cite49†4d ago L202: Major tech products used to go years between major releases. These things are mutating so fast they go from an unreleased (failed) major 3.5 to a (assumed) triumphant 4.0 and possibly 4.1 in a matter of like 2 months. It's crazy when you consider that they are probably the most complex software ever produced. Databases never updated this fast. Kernels and compilers and browsers never updated this fast. I'm not sure if I should be celebrating because it's actually completely unpredictable what happens now.
L203: cite50†conleycomp L204:
L205: •
L206:
L207: cite51†4d ago L208:
L209: Everyday feels like I am watching people stand in front of microwaves screaming "cook faster!". This stuff is already orders of magnitude faster than we can think and process the output. There's a point where every exponential curve reaches the edge of your graph...then what?
L210:
L211: cite52†BiruGoPoke L212:
L213: •
L214:
L215: cite53†3d ago L216: Agree, we are probably going to plateau relatively soon, with any extra 0.1% better in benchmark going to cost tons of energy and money... and most likely, less and less people willing to pay for the frontier, that can have quite a few consequences.
L217:
L218: cite54†More replies cite55†More replies L219:
L220: cite56†hotnsoursoup86 L221:
L222: •
L223:
L224: cite57†3d ago L225: Why do people say Opus 5.5 is better than Astra? Or Sol 6.1? I find that its behind even Sol 6.1 for complex work. It leaves so many issues or doesnt consider the larger picture effectively. I have an eval pipeline with like 5 different plugin and skill workflows and 3-4 permutations of system prompts and cite58†CLAUDE.md†claude.md global/repo scopes. Can't get it to do everything. Even with context adjustments down to 500k cap, 750k, etc.
L226: I have Sol 6.1 review and identify immediate core concern bugs not just edge cases. (I have both Claude and OpenAI max plans) - and also, OpenAI = at LEAST 5x usage as Claude ...
L227: cite59†adjutanto L228:
L229: •
L230:
L231: cite60†2d ago L232:
L233: it really depends on how YOU work, on WHICH work is being done, which temperature the model is set on, and sometimes even WHEN work is being done. overall opus 5.5 in most cases will feel much faster and more intuitive than astra in coding and webtools. however, astra and even sol 6.1 will be better at research, language, multi-modal (such as recognizing patterns), robotics and PC control.
L234:
L235: cite61†EtherealBrecht L236:
L237: •
L238:
L239: cite62†19h ago L240: Many people validate models on their ability to create a game or a frontend UI.
L241: Problems which are quite mechanical, I've stopped writing UIs because once the design is there and you have some years in and have defined how you use your framework it felt like all the hard work was done and I just had to put in tedious text. If you've developed games you also know that most of the hard problems are known mathematical problems, AI excels at this since it's essentially reproducing a known pattern.
L242: I'm currently dealing with complex data problems which don't have known frameworks to solve them. That means.. no code to steal. For these problems I have the same experience as you. Any Anthropic model does half a job and doesn't even look at the existing code or specs decently. It behaves like an overconfident developer. If I want something that thinks out of the box, then I use opus.
L243:
L244: cite63†More replies L245:
L246: cite61†EtherealBrecht L247:
L248: •
L249:
L250: cite64†19h ago L251: Always find this hilarious.
L252: I dislike Opus it never yields good results. I prefer Sol or Astra for serious Rust coding.
L253: But it's not quite opus 5.5 level and easily matches Astra... interesting.
L254:
L255: I guess I take away from that: "it's amazing and I won't dislike it because it doesn't have Opus's bullshit levels?"
L256:
L257: cite65†jakegh L258:
L259: •
L260:
L261: cite66†4d ago L262:
L263: According to AA benchmarks (benchmarks == heap of salt), Argon 4 high is roughly the same intelligence as Opus 5.5 high but 9% more expensive.
L264: If you want to compare to Astra for some reason (who uses Astra?), Argon 4 high is the same intelligence as Astra xhigh but 14% cheaper.
L265:
L266: But Gemini models usually do quite well in benchmarks, it remains to be seen how they are to actually use.
L267:
L268: cite67†Ok-Awareness-2931 L269:
L270: •
L271:
L272: cite68†2d ago L273:
L274: that's 9% more expensive, without optimization while Opus is already at the .5 mark for its version
L275:
L276: cite65†jakegh L277:
L278: •
L279:
L280: cite69†2d ago L281:
L282: Sure, who can predict the future? Opus 5.6 is undoubtedly on the way too.
L283: cite70†More replies cite71†More replies cite72†More replies L284:
L285: cite36†sascharobi L286:
L287: •
L288:
L289: cite73†2d ago L290:
L291: If it's not quite Opus 5.5 level, maybe they will skip it and wait for the next one?
L292:
L293: cite74†UnhingedApe L294:
L295: •
L296:
L297: cite75†3d ago L298:
L299: Thorough, great at instruction following hence slow. Worse taste compared to Opus.
L300:
L301: cite76†FacuEXZ L302:
L303: •
L304:
L305: cite77†10h ago L306:
L307: Tengo el plan pro, le hice una pregunta a Argon, con nivel de pensamiento bajo y se gasto un 5% del plan de uso 💀.
L308:
L309: Y no fue un pregunta muy loca.
L310:
L311: cite78†boxgage22 L312:
L313: •
L314:
L315: cite79†8h ago L316: Yo hice unas 3 preguntas nada de otro mundo plan pro y adiós capacidad 100% consumió
L317:
L318: cite80†More replies L319: # More posts you may like
L320:
L321: Related posts
L322:
L323: * cite81†Gemini 4 argon wooow L324:
L325: cite2†r/GeminiAI •
L326:
L327: cite81†Gemini 4 argon wooow L328:
L329: upvotes · comments
L330:
L331: * * *
L332:
L333: * cite82†What is going on with gemini 3.8 flash? Why so slow now? L334:
L335: cite83†r/google_antigravity •
L336:
L337: cite82†What is going on with gemini 3.8 flash? Why so slow now? L338:
L339: upvotes · comments
L340:
L341: * * *
L342:
L343: * cite84†First impressions on the Jade 14mm + 16mm and other T1 grit paddles L344:
L345: cite85†r/Pickleball •
L346:
L347: cite84†First impressions on the Jade 14mm + 16mm and other T1 grit paddles L348: upvotes · comments
L349:
L350: * * *
L351:
L352: * cite86†Gemini 3.8 Medium L353:
L354: cite2†r/GeminiAI •
L355:
L356: cite86†Gemini 3.8 Medium L357:
L358: comments
L359:
L360: * * *
L361:
L362: * cite87†Has gemini gotten worse after the High/Medium/Low update L363:
L364: cite2†r/GeminiAI •
L365:
L366: cite87†Has gemini gotten worse after the High/Medium/Low update L367:
L368: upvotes · comments
L369:
L370: * * *
L371:
L372: * cite88†Does anyone have Gemini/Google free year subscription link? L373:
L374: cite89†r/UTAustin •
L375:
L376: cite88†Does anyone have Gemini/Google free year subscription link? L377:
L378: upvotes · comments
L379:
L380: * * *
L381: * cite90†Kann ich den Tesla mit diesem Anschluss laden? L382:
L383: cite91†r/TeslaDE •
L384:
L385: cite90†Kann ich den Tesla mit diesem Anschluss laden? L386:
L387: upvotes · comments
L388:
L389: * * *
L390:
L391: * cite92†Ori Mascot Costume L392:
L393: cite93†r/generativeAI •
L394:
L395: cite92†Ori Mascot Costume L396:
L397: upvote · comment
L398:
L399: * * *
L400:
L401: * cite94†Gemini locks the last generated response after ‘Try again’ L402:
L403: cite2†r/GeminiAI •
L404:
L405: cite94†Gemini locks the last generated response after ‘Try again’ L406:
L407: upvote · comments
L408:
L409: * * *
L410:
L411: * cite95†using gemini for speaking practice in a foreign language L412: cite2†r/GeminiAI •
L413:
L414: cite95†using gemini for speaking practice in a foreign language L415:
L416: upvote · comment
L417:
L418: * * *
L419:
L420: * cite96†AI to learn Premiere L421:
L422: cite97†r/aivideomaking •
L423:
L424: cite96†AI to learn Premiere L425:
L426: upvote
L427:
L428: * * *
L429:
L430: * cite98†Google apresenta Gemini 4 Argon focado em programação e cibersegurança L431:
L432: cite99†r/TugaTech •
L433:
L434: cite98†Google apresenta Gemini 4 Argon focado em programação e cibersegurança L435:
L436: upvote
L437:
L438: * * *
L439:
L440: * cite100†Useless fact you might not know L441:
L442: cite101†r/ArtificialInteligence •
L443:
L444: cite100†Useless fact you might not know L445: upvotes · comments
L446:
L447: * * *
L448:
L449: * cite102†Tig welding rings L450:
L451: cite103†r/chainmailartisans •
L452:
L453: cite102†Tig welding rings L454:
L455: upvotes · comments
L456:
L457: * * *
L458:
L459: * cite104†Osoaa Pea Protein Hydrolysate Review (OC) L460:
L461: cite105†r/protein_deals •
L462:
L463: cite104†Osoaa Pea Protein Hydrolysate Review (OC) L464:
L465: upvotes · comments
L466:
L467: * * *
L468:
L469: * cite106†When will gemini 4 argon be available to pro users in antigravity L470:
L471: cite83†r/google_antigravity •
L472:
L473: cite106†When will gemini 4 argon be available to pro users in antigravity L474:
L475: upvotes · comments
L476:
L477: * * *
L478: * cite107†how it feels waiting for gemini 4 argon L479:
L480: cite83†r/google_antigravity •
L481:
L482: cite107†how it feels waiting for gemini 4 argon L483:
L484: upvotes · comments
L485:
L486: * * *
L487:
L488: * cite108†Should I go for Sansa County Villa? An integrated township. L489:
L490: cite109†r/hyderabadrealestate •
L491:
L492: cite108†Should I go for Sansa County Villa? An integrated township. L493:
L494: upvotes · comments
L495:
L496: * * *
L497:
L498: * cite110†Warning about buying directly from Argon 40 L499:
L500: cite111†r/raspberry_pi •
L501:
L502: cite110†Warning about buying directly from Argon 40 L503:
L504: upvotes · comments
L505:
L506: * * *
L507: * cite112†argon - a git package manager L508:
L509: cite113†r/suckless •
L510:
L511: cite112†argon - a git package manager L512:
L513: upvotes · comments
L514:
L515: * * *
L516:
L517: * cite114†Why Is Gemini 4 Argon Being Treated Like The Mythos Of Today 😂 L518:
L519: cite2†r/GeminiAI •
L520:
L521: cite114†Why Is Gemini 4 Argon Being Treated Like The Mythos Of Today 😂 L522:
L523: upvotes · comments
L524:
L525: * * *
L526:
L527: * cite115†Gemini 4 Argon officially takes the #1 spot on the Text Arena leaderboard with an Elo of 1,525. L528:
L529: cite83†r/google_antigravity •
L530: cite115†Gemini 4 Argon officially takes the #1 spot on the Text Arena leaderboard with an Elo of 1,525. L531:
L532: upvotes · comments
L533:
L534: * * *
L535:
L536: * cite116†Just received Gemini 4 argon on my account, seems like the rollout has started!! L537:
L538: cite2†r/GeminiAI •
L539:
L540: cite116†Just received Gemini 4 argon on my account, seems like the rollout has started!! L541:
L542: upvotes · comments
L543:
L544: * * *
L545:
L546: * cite117†WHY- IN THIS YEAR OF 2023- IS ANYONE STILL BUYING **SAMSUNG** APPLIANCES? L547:
L548: cite118†r/Appliances •
L549: cite117†WHY- IN THIS YEAR OF 2023- IS ANYONE STILL BUYING **SAMSUNG** APPLIANCES? L550:
L551: upvotes · comments
L552:
L553: * * *
L554:
L555: * cite119†Gemini 4 Argon L556:
L557: cite2†r/GeminiAI •
L558:
L559: cite119†Gemini 4 Argon L560:
L561: upvotes · comments
L562:
L563: * * *
L564:
L565: * cite120†Gemini 4 Argon: primero en 13 de los 19 benchmarks de Google, pero frente a GPT-6.1 Sol y Opus 5.5 en pruebas independientes la cosa cambia L566:
L567: cite121†r/InteligenciArtificial •
L568: cite120†Gemini 4 Argon: primero en 13 de los 19 benchmarks de Google, pero frente a GPT-6.1 Sol y Opus 5.5 en pruebas independientes la cosa cambia L569:
L570: upvote
L571:
L572: * * *
L573:
L574: * cite122†Gemini 4 argon has same realise as 3.5 pro L575:
L576: cite2†r/GeminiAI •
L577:
L578: cite122†Gemini 4 argon has same realise as 3.5 pro L579:
L580: upvotes · comments
L581:
L582: * * *
L583:
L584: * cite123†Any Leaks On When We GET TO USE Gemini 4 Argon? L585:
L586: cite2†r/GeminiAI •
L587:
L588: cite123†Any Leaks On When We GET TO USE Gemini 4 Argon? L589:
L590: upvotes · comments
L591:
L592: * * *
L593:
L594: * cite124†Gemini 4 Argon is what..? L595: cite2†r/GeminiAI •
L596:
L597: cite124†Gemini 4 Argon is what..? L598:
L599: upvotes · comments
L600:
L601: * * *
L602:
L603: * cite125†it appears google has added new settings in preparation for gemini 4.0 pro L604:
L605: cite2†r/GeminiAI •
L606:
L607: cite125†it appears google has added new settings in preparation for gemini 4.0 pro L608:
L609: upvotes · comments
L610:
L611: * * *
L612:
L613: * cite126†Gemini 4 Argon: Is Google Back? L614:
L615: cite127†r/LLMDevs •
L616:
L617: cite126†Gemini 4 Argon: Is Google Back? L618:
L619: comments
L620:
L621: * * *
L622:
L623: * cite128†Gemini Introduced Gemini 4 Argon it’s a beast L624:
L625: cite2†r/GeminiAI •
L626: cite128†Gemini Introduced Gemini 4 Argon it’s a beast L627:
L628: comments
L629:
L630: * * *
L631:
L632: * cite129†Gemini 4 absolutely cannot just be Fable-level L633:
L634: cite2†r/GeminiAI •
L635:
L636: cite129†Gemini 4 absolutely cannot just be Fable-level L637:
L638: comments
L639:
L640: * * *
L641:
L642: * cite130†Thoughts on Numbuzin 9 products L643:
L644: cite131†r/koreanskincare •
L645:
L646: cite130†Thoughts on Numbuzin 9 products L647:
L648: upvotes · comments
L649:
L650: * * *
L651:
L652: * cite132†Google just released Gemini 4 Argon 🔥 L653:
L654: cite133†r/opencodeCLI •
L655:
L656: cite132†Google just released Gemini 4 Argon 🔥 L657:
L658: upvotes · comments
L659:
L660: * * *
L661: ##
L662:
L663: View Post in
L664:
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Argon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)
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L17: # Argon 4 Thoughts?
L18:
L19: cite4†Discussion L20:
L21: Now that Argon is being released, what are your thoughts and initial impressions of it?
L22:
L23: cite5†Share L24:
L25: Sort by:
L26:
L27: Best
L28:
L29: Open comment sort options
L30:
L31: * Best
L32:
L33: * Top
L34:
L35: * New
L36:
L37: * Controversial
L38:
L39: * Old
L40:
L41: * Q&A
L42:
L43: cite6†smuko100 L44:
L45: •
L46:
L47: cite7†1d ago L48:
L49: im using it on gemini app and so far is a beast
L50:
L51: cite8†ZealousidealText4337 L52:
L53: •
L54:
L55: cite9†1d ago L56: Feels faster than Ultra was, which is the main thing I care about. Noticing it sticks to instructions better too, specially for keeping formatting consistent across long threads. Way less of that thing where it suddenly goes super formal for no reason.
L57:
L58: cite10†Nug__Nug L59:
L60: •
L61:
L62: cite11†1d ago L63:
L64: • Edited 1d ago
L65: I'm a Pro tier subscriber and I've just asked it a couple regular text prompts in the Gemini app and it's burned through 52% of my 5-hour quota in seven different queries. Not even complex questions, mainly things where I'm asking basic questions like when will Argon come to Pro tier subscribers in the anti-gravity app, what model are you, and what's the information on the hallucination rate between 3.8 Flash and Argon. It burned through 52% of my quota just like that.
L66: I haven't even attempted more complex prompts where I normally use Gemini for legal research and legal drafting and document analysis, and I'm worried that I'll barely be able to start a basic legal task on Argon before running through my 5-hour limit.
L67: I also noticed that 3.1 Pro is burning through almost 7% per prompt now too, and I used to be able to use 3.1 Pro on extended thinking for long multi-hour sessions without burning through my 5-hour limit. Something is seriously different in how they're calculating quota usage when selecting the Pro model or the Argon model. 3.8 Flash I can use non-stop basically.
L68:
L69: cite12†Dingleberry_Blumpkin L70:
L71: •
L72:
L73: cite13†1d ago --------------------------------------------------------------------------------
Argon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)
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L171: How did you get Argon to do 3D modeling? Through the Gemini web app?
L172:
L173: cite40†blackscriptor L174:
L175: •
L176:
L177: cite41†19h ago L178:
L179: I did this with Argon
L180:
L181: cite40†blackscriptor L182:
L183: •
L184:
L185: cite42†19h ago L186:
L187: cite43†more replies cite43†more replies cite44†More replies cite45†More replies cite46†More replies L188:
L189: cite47†Repulsive-Degree-816 L190:
L191: •
L192:
L193: cite48†1d ago L194:
L195: cite49†Image: Profile Badge for the Achievement Top 1% Commenter†i.redd.it Top 1% Commenter
L196:
L197: I asked how much ram my TV model had, and it spent 5% my 5h limit
L198:
L199: we are sooo back 🔥
L200:
L201: cite50†dimitrusrblx L202:
L203: •
L204: cite51†1d ago L205:
L206: honestly, if you use a frontier model for questions like that, google might be better off you running out of limit ASAP
L207:
L208: cite47†Repulsive-Degree-816 L209:
L210: •
L211:
L212: cite52†1d ago L213:
L214: cite49†Image: Profile Badge for the Achievement Top 1% Commenter†i.redd.it Top 1% Commenter
L215:
L216: 🤣it was just testing, I knew how much ram it had
L217:
L218: I will have time for bigger stuff on it
L219:
L220: cite53†Kalicolocts L221:
L222: •
L223:
L224: cite54†17h ago L225: That’s 100% a question for an LLM, you are looking for a specific info that might require some scanning over the web to find the proper information. There’s no way that googling it is faster than
L226:
L227: cite55†PkayO5 L228:
L229: •
L230:
L231: cite56†16h ago L232:
L233: Yah that's why you use the flash version of said LLM.
L234:
L235: cite57†more replies cite57†more replies cite58†More replies cite59†More replies L236:
L237: cite60†dictionizzle L238:
L239: •
L240:
L241: cite61†23h ago L242:
L243: you guys have 5h limit for chatting?
L244:
L245: cite62†cosHinsHeiR L246:
L247: •
L248:
L249: cite63†10h ago L250: Gemini has an maximum amount of usage you can have in the past 5 hours.
L251:
L252: cite64†More replies L253:
L254: cite65†DopeZick L255:
L256: •
L257:
L258: cite66†1d ago L259:
L260: i just created one image and it used 1% not to bad(on high)
L261:
L262: cite10†Nug__Nug L263:
L264: •
L265:
L266: cite67†1d ago L267:
L268: That's not a good test for token usage though because essentially Argon will just route instructions for the image to an image generation model, and the image generation model is not Argon, it's Nano Banana.
L269:
L270: cite65†DopeZick L271:
L272: •
L273:
L274: cite68†1d ago L275:
L276: ah ok, did not know that.
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Argon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)
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L341: The response quality actually does seem improved, but if the limit is essentially a hard 20 prompts in 5 hours no matter the effort setting, it doesn’t do anything that you can’t do for more usage with the ChatGPT models.
L342: cite87†More replies L343:
L344: cite88†jdp111 L345:
L346: •
L347:
L348: cite89†11h ago L349:
L350: So coding is lacking compared to Claude?
L351:
L352: cite90†More replies L353:
L354: cite91†Sabhojayegabhai L355:
L356: •
L357:
L358: cite92†1d ago L359:
L360: Surprisingly good tbh but need more limit tbh
L361:
L362: cite93†Eduardo1502 L363:
L364: •
L365:
L366: cite94†1d ago L367:
L368: I code a lot and for me it's far superior than 3.8 flash, superior than sonnet 5.5 maybe same level as opus 5.5.
L369:
L370: cite95†who_am_i_to_say_so L371:
L372: •
L373:
L374: cite96†1d ago L375:
L376: That’s encouraging. It isn’t rerouting your prompts to Flash yet?
L377:
L378: cite93†Eduardo1502 L379:
L380: •
L381:
L382: cite97†1d ago L383: I'm ultra 200 sub, I don't feel like this happened since the results are vastly inferior
L384:
L385: cite98†More replies cite99†More replies L386:
L387: cite100†Traditional-Shame-65 L388:
L389: cite101†Image: Cake icon†www.redditstatic.com •
L390:
L391: cite102†1d ago L392: Despite consuming 69% the 5-hour token limit, the market research output i got was significantly better than of Opus 5.5. The performance of Argon on this task is instance way better than claude Opus 5.5 on extra effort. Honestly appreciate google for enabling Argon for pro users (JIO users get gemini pro for free).
L393:
L394: cite103†IzonoGames L395:
L396: •
L397:
L398: cite104†23h ago L399:
L400: Hello, how can you check that usage? I bought the pro plan recently. Also, is there any way you can check how much context a chat has used?
L401: cite105†Which-Store1669 L402:
L403: •
L404:
L405: cite106†20h ago L406:
L407: idk about second thing but this usage can be checked by clicking on settings then usage limits.
L408:
L409: cite107†More replies cite108†More replies L410:
L411: cite109†HeadTranslator795 L412:
L413: •
L414:
L415: cite110†1d ago L416:
L417: cite49†Image: Profile Badge for the Achievement Top 1% Commenter†i.redd.it Top 1% Commenter
L418:
L419: Where all the doubters and bots disappear ?
L420:
--------------------------------------------------------------------------------
Argon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)
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L442: cite117†TheGreatOilPainter L443:
L444: •
L445:
L446: cite118†21h ago L447:
L448: 👏🏻👏🏻👏🏻
L449:
L450: cite109†HeadTranslator795 L451:
L452: •
L453:
L454: cite119†12h ago L455:
L456: cite49†Image: Profile Badge for the Achievement Top 1% Commenter†i.redd.it Top 1% Commenter
L457:
L458: Amazing
L459:
L460: cite120†jpstealthy L461:
L462: •
L463:
L464: cite121†5h ago L465:
L466: 😂😂 love it
L467:
L468: cite122†More replies L469:
L470: cite123†Lost-Willow386 L471:
L472: •
L473:
L474: cite124†1d ago L475:
L476: They're just waiting to figure out some astroturfing angle to this.
L477:
L478: cite125†Able-Acanthaceae-135 L479:
L480: •
L481:
L482: cite126†21h ago L483:
L484: They’ve pivoted to complaining about token usage
L485:
L486: cite28†tobaileyy L487:
L488: •
L489:
L490: cite127†15h ago L491: Yes, because you are an extension of Google, therefore must be offended by all criticism towards their products. Get a grip.
L492:
L493: cite128†more reply cite128†more reply cite129†More replies cite130†More replies L494:
L495: cite131†theGamer2K L496:
L497: cite101†Image: Cake icon†www.redditstatic.com •
L498:
L499: cite132†1d ago L500:
L501: Day 15 and yes Gemini 4
L502:
L503: cite133†m3kw L504:
L505: •
L506:
L507: cite134†23h ago L508:
L509: Is ain’t sht, not available in antigravity
L510:
L511: cite135†grahamsw L512:
L513: •
L514:
L515: cite136†4h ago L516:
L517: Yes it is
L518:
L519: cite133†m3kw L520:
L521: •
L522:
L523: cite137†3h ago L524:
L525: not for pro users
L526:
L527: cite138†More replies cite139†More replies L528: cite140†Kooky_Awareness_5333 L529:
L530: •
L531:
L532: cite141†1d ago L533:
L534: Still here
L535:
L536: cite142†trojanskin L537:
L538: •
L539:
L540: cite143†1d ago L541:
L542: still here and lmao
L543:
L544: cite28†tobaileyy L545:
L546: •
L547:
L548: cite144†15h ago L549:
L550: Being flooded out of the space because the bot farms are in full throttle?
L551:
L552: cite145†More replies L553:
L554: cite146†Party-Conclusion9655 L555:
L556: •
L557:
L558: cite147†1d ago L559: i don't know if it is just me or it cannot do a simple document handling task. it is a big document with some 50 pages but still GPT 6.1 sol or astra 6 or even terra 5.6 can do it effortlessly. same with the claude sonnet and opus 5.5 models. it cannot do it, tried it twice in Argon high and medium.
L560: flash 3.8 was bad at document handling too.
L561: sometimes the chat has the word docx capabilities, other times it doesn't. unreliable at simple tasks.
--------------------------------------------------------------------------------
Argon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)
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L613: That said, it's good at explaining things otherwise.
L614:
L615: cite157†Mardicus L616:
L617: •
L618:
L619: cite158†4h ago L620:
L621: so, still Gemini... I returned to chatgpt after years and felt so relieved as how much less prone to confidently hallucinate it is, but with more chats and larger instruction set, it (6.1 sol) forgets things too quickly
L622:
L623: cite159†More replies L624:
L625: cite160†UnhingedApe L626:
L627: •
L628:
L629: cite161†1d ago L630:
L631: They crushed it with the new task feature. Makes the Gemini app way more capable
L632:
L633: cite140†Kooky_Awareness_5333 L634:
L635: •
L636:
L637: cite162†1d ago L638: Haven’t used the task feature yet what is it
L639:
L640: cite160†UnhingedApe L641:
L642: •
L643:
L644: cite163†20h ago L645:
L646: Perhaps you should update your Google app.
L647:
L648: cite164†More replies L649:
L650: cite165†bobsmith93 L651:
L652: •
L653:
L654: cite166†17h ago L655:
L656: Is it different from Spark? I haven't used that either because of the amount of control I would be giving it, but I may give Task a try at some point
L657:
L658: cite160†UnhingedApe L659:
L660: •
L661:
L662: cite167†15h ago L663:
L664: Different from spark. You use tasks when you have a complex request, basically tasks you would hand over to antigravity.
L665: cite168†More replies cite169†More replies L666:
L667: cite170†Technical-Owl66 L668:
L669: •
L670:
L671: cite171†1d ago L672:
L673: cite49†Image: Profile Badge for the Achievement Top 1% Commenter†i.redd.it Top 1% Commenter
L674:
L675: It's good. I'm always surprised by the speed of Google models. Is it because they have their own hardware?
L676:
L677: cite28†tobaileyy L678:
L679: •
L680:
L681: cite172†15h ago L682:
L683: Google's models are slow as shit lmao what
L684:
L685: cite173†Inner-Resolve-5659 L686:
L687: •
L688:
L689: cite174†9m ago L690:
L691: Wouldn't call 220t/s slow but ok
L692:
L693: cite175†More replies L694:
L695: cite176†tastychaii L696:
L697: •
L698:
L699: cite177†1d ago L700:
L701: Doubt it
L702: cite178†More replies L703:
L704: cite179†BobsonLampjaw L705:
L706: •
L707:
L708: cite180†1d ago L709:
L710: • Edited 1d ago
L711:
L712: Argon 4 is a huge improvement over every 3-series model and makes Gemini usable in Chat. I've saved a number of Gemini 3.X prompts and the hilariously busted responses, ran them through Argon 4, and now have useful and accurate responses with less anchoring on random reddit posts and SEO slop.
--------------------------------------------------------------------------------
Argon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)
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L796: I've never paid attention to usage limits... I thought I had Gemini tamed with a bunch of instructions but 3.8 just fell apart recently and started running me through circular logic and contradicting answers. I started using 3.1Pro last night so this is perfect timing. Importing the chat and asking a flow up question burnt 11%. This can't be good 😒
L797:
L798: But... I gave me an answer I was going to ask before I asked it so, I guess that's good 😊
L799:
L800: cite203†LoveMind_AI L801:
L802: •
L803:
L804: cite204†1d ago L805: I’ve personally been blown away but I know that’s not been everyone’s experience.
L806:
L807: cite205†Visual_Muffin2632 L808:
L809: •
L810:
L811: cite206†4h ago L812:
L813: Responses are impressive. Problem is it's almost unusable in chat mode even for a modest user like myself on the Pro subscription. I used up 26% of my 5 hour usage limit in two questions about hydraulics and pumping concepts since I am studying for water distribution exams.
L814: The responses appear to be much better than 3.8 flash high on 4.0 argon high, but the usage limit is just too extreme. I tend to ask a lot of follow up questions to get clarity on concepts when I am learning and even ask for diagrams or links. It's just way too much usage on 4.0 to be usable in a multi hour study session.
L815: When I use 3.8 flash high I can run multi hour study sessions without even thinking about usage because I never hit the limit. This will hit the limit in like 10-20 prompts which is just crazy.
L816:
L817: I can't justify an Ultra subscription so I think I am just going to have to stick with 3.8 flash high thinking which stings. Knowing there is a significantly more competent model to use but effectively being gate kept from it by the prohibitive usage limit feels bad.
L818:
L819: cite207†Bruh-wtf-is-that L820:
L821: •
L822:
L823: cite208†1d ago --------------------------------------------------------------------------------
Argon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)
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L888: Hope that helps otherwise you can send me a PM if you like
L889:
L890: cite223†More replies L891:
L892: cite224†weedmylips1 L893:
L894: •
L895:
L896: cite225†22h ago L897:
L898: Made an AI model release website also. cite226†https://aiwire.dev/†aiwire.dev L899:
L900: cite227†R3VO360 L901:
L902: •
L903:
L904: cite228†6h ago L905:
L906: What's this BS? cite229†https://aiwire.dev/news/3718†aiwire.dev L907:
L908: cite224†weedmylips1 L909:
L910: •
L911:
L912: cite230†5h ago L913:
L914: sorry that was a bug that $36 is the priority output prices. i fixed it now
L915:
L916: cite231†More replies cite232†More replies L917:
L918: cite233†clckwrks L919:
L920: •
L921:
L922: cite234†5h ago L923:
L924: argon4 is only available to ultra
L925: cite235†86784273 L926:
L927: •
L928:
L929: cite236†1d ago L930:
L931: Geeze, talks worse than opus 5
L932:
L933: cite237†More replies L934:
L935: cite238†SpicyElixer L936:
L937: •
L938:
L939: cite239†1d ago L940:
L941: I switched some of my excel accounting projects and it seems to be better about finding mistakes and pointing out things without being told specifically to look put for them. But it’s only been a day.
L942:
L943: cite240†ISeeYouReadingMyName L944:
L945: •
L946:
L947: cite241†1d ago L948:
L949: I am finding it absolutely fantastic
L950:
L951: cite242†balancedchaos L952:
L953: •
L954:
L955: cite243†1d ago L956:
L957: It's absolutely brilliant.
L958:
L959: cite244†KH-XYZ L960:
L961: •
L962:
L963: cite245†1d ago L964: 5% daily usage per prompt but the visuals were extremely well made.
L965:
L966: cite246†OldMansJenkins L967:
L968: •
L969:
L970: cite247†20h ago L971:
L972: It over thinks when you give it simple tasks, but it is easily the best model I've ever used for complex problems.
L973:
L974: At least for what I do, it's been much better than Sol, and waaay more transparent than Opus.
L975:
L976: cite248†PM_YOUR_OWLS L977:
L978: •
L979:
L980: cite249†10h ago L981:
L982: Pro user - I'm burning through 9% usage every time I ask something. That gives me at most 10 prompts every 5 hours. And 6% weekly from just 2 prompts...
L983: Does not seem worth it unless I want to give it a complex task right from the get-go with very little follow up.
L984:
L985: cite250†Sleepy_aka_Sleepy__ L986:
L987: •
L988:
L989: cite251†1d ago L990:
L991: Pro user here, I tried asking him "What model are you?", this burned 9% of my 5 hour limit.
L992:
L993: cite10†Nug__Nug L994:
L995: •
L996:
L997: cite252†1d ago L998:
L999: Yeah, I noticed this too. I'm also a Pro subscriber and it absolutely destroys the 5-hour limit.
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Argon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)
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L1069: cite148†kino-casino-enjoyer L1070:
L1071: •
L1072:
L1073: cite272†17h ago L1074:
L1075: What do you mean by useless? Not available? Or what?
L1076:
L1077: cite270†Dini_Thompson9 L1078:
L1079: •
L1080:
L1081: cite273†13h ago L1082:
L1083: Use it and see for yourself
L1084:
L1085: cite148†kino-casino-enjoyer L1086:
L1087: •
L1088:
L1089: cite274†9h ago L1090:
L1091: I work at Google lol. I use it everyday and I have the option to use Claude. Is it the quota you get? Or what? Sorry but, internally , it works great. What task does it fail for you?
L1092:
L1093: cite275†More replies cite276†More replies cite277†More replies L1094:
L1095: cite278†Photopuppet L1096:
L1097: •
L1098:
L1099: cite279†1d ago L1100: I'm really impressed so far, Gemini 4 seems to have a really high 'effort' level, going out of its way to research properly and also the tool use reliability seems to be greatly improved over 3.1 🙂
L1101:
L1102: cite280†Mister_Goudchet L1103:
L1104: •
L1105:
L1106: cite281†1d ago L1107:
L1108: they fucked up. renamed pro argon and upped the usage tokens!
L1109:
L1110: cite282†Royal_Service L1111:
L1112: •
L1113:
L1114: cite283†1d ago L1115:
L1116: i feel the same i don't see any difference so far
L1117:
L1118: cite284†More replies L1119:
L1120: cite176†tastychaii L1121:
L1122: •
L1123:
L1124: cite285†1d ago L1125: How does the token usage compare with GPT Astra on medium or high?
L1126:
L1127: cite257†Otherwise_Gas_4344 L1128:
L1129: •
L1130:
L1131: cite286†1d ago L1132:
L1133: It’s a monster. Nearly 5% per prompt.
L1134:
L1135: cite287†More replies L1136:
L1137: cite288†LostRun6292 L1138:
L1139: •
L1140:
L1141: cite289†1d ago L1142:
L1143: I got it
L1144:
L1145: cite290†quiet_lagoon L1146:
L1147: •
L1148:
L1149: cite291†23h ago L1150:
L1151: WEE'RE BACK
L1152:
L1153: cite113†Trolloschmabollo L1154:
L1155: •
L1156:
L1157: cite292†19h ago L1158: I vibe coded some changes to my Plex for Windows App.
L1159: I just asked if i could do this or that, and he said, sure we can.
L1160: Thinking sometimes took 5 minutes, Argon even calculated in follow up questions i could have, AND answered them BEFORE i could ask them because he knew changes he made would made me come up with them.
L1161:
L1162: I'm beyond stunned, i just coded away some annoying little things in Plex, just by asking him if it's possible
L1163:
L1164: cite293†Flaky_Iron5154 L1165:
L1166: •
L1167:
L1168: cite294†17h ago L1169:
L1170: Doesn't work At all...
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People who tried Gemini 4 Argon : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x1y2a4/people_who_tried_gemini_4_argon/)
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L240: Many people validate models on their ability to create a game or a frontend UI.
L241: Problems which are quite mechanical, I've stopped writing UIs because once the design is there and you have some years in and have defined how you use your framework it felt like all the hard work was done and I just had to put in tedious text. If you've developed games you also know that most of the hard problems are known mathematical problems, AI excels at this since it's essentially reproducing a known pattern.
L242: I'm currently dealing with complex data problems which don't have known frameworks to solve them. That means.. no code to steal. For these problems I have the same experience as you. Any Anthropic model does half a job and doesn't even look at the existing code or specs decently. It behaves like an overconfident developer. If I want something that thinks out of the box, then I use opus.
L243:
L244: cite63†More replies L245:
L246: cite61†EtherealBrecht L247:
L248: •
L249:
L250: cite64†19h ago L251: Always find this hilarious.
L252: I dislike Opus it never yields good results. I prefer Sol or Astra for serious Rust coding.
L253: But it's not quite opus 5.5 level and easily matches Astra... interesting.
L254:
L255: I guess I take away from that: "it's amazing and I won't dislike it because it doesn't have Opus's bullshit levels?"
L256:
L257: cite65†jakegh L258:
L259: •
L260:
L261: cite66†4d ago L262:
L263: According to AA benchmarks (benchmarks == heap of salt), Argon 4 high is roughly the same intelligence as Opus 5.5 high but 9% more expensive.
L264: If you want to compare to Astra for some reason (who uses Astra?), Argon 4 high is the same intelligence as Astra xhigh but 14% cheaper.
L265:
L266: But Gemini models usually do quite well in benchmarks, it remains to be seen how they are to actually use.
L267:
L268: cite67†Ok-Awareness-2931 L269:
L270: •
L271:
L272: cite68†2d ago L273:
L274: that's 9% more expensive, without optimization while Opus is already at the .5 mark for its version
L275:
L276: cite65†jakegh L277:
L278: •
L279:
L280: cite69†2d ago L281:
L282: Sure, who can predict the future? Opus 5.6 is undoubtedly on the way too.
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# 评论选材对照
所有用户名仅用于核对出处,不是漫画人物身份。以下是对已读取片段的简要释义;最终对白是重新创作,不是这些人的原话。
来源 A:[People who tried Gemini 4 Argon](https://www.reddit.com/r/GeminiAI/comments/1x1y2a4/people_who_tried_gemini_4_argon/)
来源 B:[Argon 4 Thoughts?](https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)
| 漫画页 | 可核对的评论者/位置 | 取材点 | 原创加工 |
|---|---|---|---|
| 1 | A 发帖者;Turbulent-Total-226 | 发帖要求实际反馈;有人玩笑称自己和认识的人都没试过 | 增设主持与尝鲜者,把围观热情变成开场反转 |
| 2 | A dis-interested 与 neoqueto;Timely_Summer_4135;B ZealousidealText4337 | 图表好用、赞美措辞引发误解、速度正面报告 | 咖啡未凉、学习第二章的动作笑话 |
| 3 | A Stauce52、semangeIof、hotnsoursoup86、adjutanto;B Eduardo1502 | 写作与编码偏好不同,复杂代码工作流评价相反 | 写作者和程序员同桌互相指出对方关心什么 |
| 4 | A Timely_Summer_4135;B Party-Conclusion9655 | 有人满意PDF处理;有人报告长文档与docx工具不稳定 | 把理解和文件交付之间的落差画成“房子没有门” |
| 5 | B Nug__Nug;Visual_Muffin2632 | 七问52%的个人报告;学习者因需要追问而觉得额度不够 | 攒问题的建议碰上学习过程,落在心疼额度的笑话 |
| 6 | B m3kw、grahamsw;A adjutanto | 对是否可用有分歧,追问涉及入口和套餐;评价与工作方式相关 | 两个人走进不同门,主持人补齐使用条件 |
| 7 | A SeparateDesigner1237、conleycomp | 发布迭代密集,催微波炉更快的比喻 | 收尾改成信息消化速度跟不上,让学生说最后一句 |
## 边界
- 不做评论比例、胜率或“全体用户共识”的统计。
- 不把主观感觉、接口故障、订阅体验归因于已经证实的模型架构或训练决策。
- 第二帖的抓取不完整,原始导出保留错误信息。
- 本书的手机、咖啡、屋子与门等道具均为叙事创作。