argon-comic/sources/retrieved-excerpts.txt

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: 
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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.
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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.
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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.