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"Argon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)\nciteturn1view0 [wordlim: 200] Crawled: today; Content type: text/html; Source: open({\"ref_id\":\"turn0view1\",\"lineno\":60}); Total lines: 1807\nL17: # Argon 4 Thoughts?\nL18: \nL19: cite4†Discussion L20: \nL21: Now that Argon is being released, what are your thoughts and initial impressions of it?\nL22: \nL23: cite5†Share L24: \nL25: Sort by:\nL26: \nL27: Best\nL28: \nL29: Open comment sort options\nL30: \nL31: * Best\nL32: \nL33: * Top\nL34: \nL35: * New\nL36: \nL37: * Controversial\nL38: \nL39: * Old\nL40: \nL41: * Q&A\nL42: \nL43: cite6†smuko100 L44: \nL45: •\nL46: \nL47: cite7†1d ago L48: \nL49: im using it on gemini app and so far is a beast\nL50: \nL51: cite8†ZealousidealText4337 L52: \nL53: •\nL54: \nL55: cite9†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.\nL57: \nL58: cite10†Nug__Nug L59: \nL60: •\nL61: \nL62: cite11†1d ago L63: \nL64: • Edited 1d ago\nL65: 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.\nL66: 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.\nL67: 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.\nL68: \nL69: cite12†Dingleberry_Blumpkin L70: \nL71: •\nL72: \nL73: cite13†1d ago --------------------------------------------------------------------------------\nArgon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)\nciteturn1view1 [wordlim: 200] Crawled: today; Content type: text/html; Source: open({\"ref_id\":\"turn0view1\",\"lineno\":210}); Total lines: 1807\nL171: How did you get Argon to do 3D modeling? Through the Gemini web app?\nL172: \nL173: cite40†blackscriptor L174: \nL175: •\nL176: \nL177: cite41†19h ago L178: \nL179: I did this with Argon\nL180: \nL181: cite40†blackscriptor L182: \nL183: •\nL184: \nL185: cite42†19h ago L186: \nL187: cite43†more replies cite43†more replies cite44†More replies cite45†More replies cite46†More replies L188: \nL189: cite47†Repulsive-Degree-816 L190: \nL191: •\nL192: \nL193: cite48†1d ago L194: \nL195: cite49†Image: Profile Badge for the Achievement Top 1% Commenter†i.redd.it Top 1% Commenter\nL196: \nL197: I asked how much ram my TV model had, and it spent 5% my 5h limit\nL198: \nL199: we are sooo back 🔥\nL200: \nL201: cite50†dimitrusrblx L202: \nL203: •\nL204: cite51†1d ago L205: \nL206: honestly, if you use a frontier model for questions like that, google might be better off you running out of limit ASAP\nL207: \nL208: cite47†Repulsive-Degree-816 L209: \nL210: •\nL211: \nL212: cite52†1d ago L213: \nL214: cite49†Image: Profile Badge for the Achievement Top 1% Commenter†i.redd.it Top 1% Commenter\nL215: \nL216: 🤣it was just testing, I knew how much ram it had\nL217: \nL218: I will have time for bigger stuff on it\nL219: \nL220: cite53†Kalicolocts L221: \nL222: •\nL223: \nL224: cite54†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\nL226: \nL227: cite55†PkayO5 L228: \nL229: •\nL230: \nL231: cite56†16h ago L232: \nL233: Yah that's why you use the flash version of said LLM.\nL234: \nL235: cite57†more replies cite57†more replies cite58†More replies cite59†More replies L236: \nL237: cite60†dictionizzle L238: \nL239: •\nL240: \nL241: cite61†23h ago L242: \nL243: you guys have 5h limit for chatting?\nL244: \nL245: cite62†cosHinsHeiR L246: \nL247: •\nL248: \nL249: cite63†10h ago L250: Gemini has an maximum amount of usage you can have in the past 5 hours.\nL251: \nL252: cite64†More replies L253: \nL254: cite65†DopeZick L255: \nL256: •\nL257: \nL258: cite66†1d ago L259: \nL260: i just created one image and it used 1% not to bad(on high)\nL261: \nL262: cite10†Nug__Nug L263: \nL264: •\nL265: \nL266: cite67†1d ago L267: \nL268: 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.\nL269: \nL270: cite65†DopeZick L271: \nL272: •\nL273: \nL274: cite68†1d ago L275: \nL276: ah ok, did not know that.\n--------------------------------------------------------------------------------\nArgon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)\nciteturn1view2 [wordlim: 200] Crawled: today; Content type: text/html; Source: open({\"ref_id\":\"turn0view1\",\"lineno\":360}); Total lines: 1807\nL341: 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.\nL342: cite87†More replies L343: \nL344: cite88†jdp111 L345: \nL346: •\nL347: \nL348: cite89†11h ago L349: \nL350: So coding is lacking compared to Claude?\nL351: \nL352: cite90†More replies L353: \nL354: cite91†Sabhojayegabhai L355: \nL356: •\nL357: \nL358: cite92†1d ago L359: \nL360: Surprisingly good tbh but need more limit tbh\nL361: \nL362: cite93†Eduardo1502 L363: \nL364: •\nL365: \nL366: cite94†1d ago L367: \nL368: 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.\nL369: \nL370: cite95†who_am_i_to_say_so L371: \nL372: •\nL373: \nL374: cite96†1d ago L375: \nL376: That’s encouraging. It isn’t rerouting your prompts to Flash yet?\nL377: \nL378: cite93†Eduardo1502 L379: \nL380: •\nL381: \nL382: cite97†1d ago L383: I'm ultra 200 sub, I don't feel like this happened since the results are vastly inferior\nL384: \nL385: cite98†More replies cite99†More replies L386: \nL387: cite100†Traditional-Shame-65 L388: \nL389: cite101†Image: Cake icon†www.redditstatic.com •\nL390: \nL391: cite102†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).\nL393: \nL394: cite103†IzonoGames L395: \nL396: •\nL397: \nL398: cite104†23h ago L399: \nL400: 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?\nL401: cite105†Which-Store1669 L402: \nL403: •\nL404: \nL405: cite106†20h ago L406: \nL407: idk about second thing but this usage can be checked by clicking on settings then usage limits.\nL408: \nL409: cite107†More replies cite108†More replies L410: \nL411: cite109†HeadTranslator795 L412: \nL413: •\nL414: \nL415: cite110†1d ago L416: \nL417: cite49†Image: Profile Badge for the Achievement Top 1% Commenter†i.redd.it Top 1% Commenter\nL418: \nL419: Where all the doubters and bots disappear ?\nL420: \n--------------------------------------------------------------------------------\nArgon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)\nciteturn1view3 [wordlim: 200] Crawled: today; Content type: text/html; Source: open({\"ref_id\":\"turn0view1\",\"lineno\":510}); Total lines: 1807\nL442: cite117†TheGreatOilPainter L443: \nL444: •\nL445: \nL446: cite118†21h ago L447: \nL448: 👏🏻👏🏻👏🏻\nL449: \nL450: cite109†HeadTranslator795 L451: \nL452: •\nL453: \nL454: cite119†12h ago L455: \nL456: cite49†Image: Profile Badge for the Achievement Top 1% Commenter†i.redd.it Top 1% Commenter\nL457: \nL458: Amazing\nL459: \nL460: cite120†jpstealthy L461: \nL462: •\nL463: \nL464: cite121†5h ago L465: \nL466: 😂😂 love it\nL467: \nL468: cite122†More replies L469: \nL470: cite123†Lost-Willow386 L471: \nL472: •\nL473: \nL474: cite124†1d ago L475: \nL476: They're just waiting to figure out some astroturfing angle to this.\nL477: \nL478: cite125†Able-Acanthaceae-135 L479: \nL480: •\nL481: \nL482: cite126†21h ago L483: \nL484: They’ve pivoted to complaining about token usage\nL485: \nL486: cite28†tobaileyy L487: \nL488: •\nL489: \nL490: cite127†15h ago L491: Yes, because you are an extension of Google, therefore must be offended by all criticism towards their products. Get a grip.\nL492: \nL493: cite128†more reply cite128†more reply cite129†More replies cite130†More replies L494: \nL495: cite131†theGamer2K L496: \nL497: cite101†Image: Cake icon†www.redditstatic.com •\nL498: \nL499: cite132†1d ago L500: \nL501: Day 15 and yes Gemini 4\nL502: \nL503: cite133†m3kw L504: \nL505: •\nL506: \nL507: cite134†23h ago L508: \nL509: Is ain’t sht, not available in antigravity\nL510: \nL511: cite135†grahamsw L512: \nL513: •\nL514: \nL515: cite136†4h ago L516: \nL517: Yes it is\nL518: \nL519: cite133†m3kw L520: \nL521: •\nL522: \nL523: cite137†3h ago L524: \nL525: not for pro users\nL526: \nL527: cite138†More replies cite139†More replies L528: cite140†Kooky_Awareness_5333 L529: \nL530: •\nL531: \nL532: cite141†1d ago L533: \nL534: Still here\nL535: \nL536: cite142†trojanskin L537: \nL538: •\nL539: \nL540: cite143†1d ago L541: \nL542: still here and lmao\nL543: \nL544: cite28†tobaileyy L545: \nL546: •\nL547: \nL548: cite144†15h ago L549: \nL550: Being flooded out of the space because the bot farms are in full throttle?\nL551: \nL552: cite145†More replies L553: \nL554: cite146†Party-Conclusion9655 L555: \nL556: •\nL557: \nL558: cite147†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.\nL560: flash 3.8 was bad at document handling too.\nL561: sometimes the chat has the word docx capabilities, other times it doesn't. unreliable at simple tasks.\n--------------------------------------------------------------------------------\nArgon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)\nciteturn1view4 [wordlim: 200] Crawled: today; Content type: text/html; Source: open({\"ref_id\":\"turn0view1\",\"lineno\":660}); Total lines: 1807\nL613: That said, it's good at explaining things otherwise.\nL614: \nL615: cite157†Mardicus L616: \nL617: •\nL618: \nL619: cite158†4h ago L620: \nL621: 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\nL622: \nL623: cite159†More replies L624: \nL625: cite160†UnhingedApe L626: \nL627: •\nL628: \nL629: cite161†1d ago L630: \nL631: They crushed it with the new task feature. Makes the Gemini app way more capable\nL632: \nL633: cite140†Kooky_Awareness_5333 L634: \nL635: •\nL636: \nL637: cite162†1d ago L638: Haven’t used the task feature yet what is it\nL639: \nL640: cite160†UnhingedApe L641: \nL642: •\nL643: \nL644: cite163†20h ago L645: \nL646: Perhaps you should update your Google app.\nL647: \nL648: cite164†More replies L649: \nL650: cite165†bobsmith93 L651: \nL652: •\nL653: \nL654: cite166†17h ago L655: \nL656: 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\nL657: \nL658: cite160†UnhingedApe L659: \nL660: •\nL661: \nL662: cite167†15h ago L663: \nL664: Different from spark. You use tasks when you have a complex request, basically tasks you would hand over to antigravity.\nL665: cite168†More replies cite169†More replies L666: \nL667: cite170†Technical-Owl66 L668: \nL669: •\nL670: \nL671: cite171†1d ago L672: \nL673: cite49†Image: Profile Badge for the Achievement Top 1% Commenter†i.redd.it Top 1% Commenter\nL674: \nL675: It's good. I'm always surprised by the speed of Google models. Is it because they have their own hardware?\nL676: \nL677: cite28†tobaileyy L678: \nL679: •\nL680: \nL681: cite172†15h ago L682: \nL683: Google's models are slow as shit lmao what\nL684: \nL685: cite173†Inner-Resolve-5659 L686: \nL687: •\nL688: \nL689: cite174†9m ago L690: \nL691: Wouldn't call 220t/s slow but ok\nL692: \nL693: cite175†More replies L694: \nL695: cite176†tastychaii L696: \nL697: •\nL698: \nL699: cite177†1d ago L700: \nL701: Doubt it\nL702: cite178†More replies L703: \nL704: cite179†BobsonLampjaw L705: \nL706: •\nL707: \nL708: cite180†1d ago L709: \nL710: • Edited 1d ago\nL711: \nL712: 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.\n--------------------------------------------------------------------------------\nArgon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)\nciteturn1view5 [wordlim: 200] Crawled: today; Content type: text/html; Source: open({\"ref_id\":\"turn0view1\",\"lineno\":810}); Total lines: 1807\nL796: 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 😒\nL797: \nL798: But... I gave me an answer I was going to ask before I asked it so, I guess that's good 😊\nL799: \nL800: cite203†LoveMind_AI L801: \nL802: •\nL803: \nL804: cite204†1d ago L805: I’ve personally been blown away but I know that’s not been everyone’s experience.\nL806: \nL807: cite205†Visual_Muffin2632 L808: \nL809: •\nL810: \nL811: cite206†4h ago L812: \nL813: 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.\nL814: 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.\nL815: 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.\nL816: \nL817: 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.\nL818: \nL819: cite207†Bruh-wtf-is-that L820: \nL821: •\nL822: \nL823: cite208†1d ago --------------------------------------------------------------------------------\nArgon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)\nciteturn1view6 [wordlim: 200] Crawled: today; Content type: text/html; Source: open({\"ref_id\":\"turn0view1\",\"lineno\":960}); Total lines: 1807\nL888: Hope that helps otherwise you can send me a PM if you like\nL889: \nL890: cite223†More replies L891: \nL892: cite224†weedmylips1 L893: \nL894: •\nL895: \nL896: cite225†22h ago L897: \nL898: Made an AI model release website also. cite226†https://aiwire.dev/†aiwire.dev L899: \nL900: cite227†R3VO360 L901: \nL902: •\nL903: \nL904: cite228†6h ago L905: \nL906: What's this BS? cite229†https://aiwire.dev/news/3718†aiwire.dev L907: \nL908: cite224†weedmylips1 L909: \nL910: •\nL911: \nL912: cite230†5h ago L913: \nL914: sorry that was a bug that $36 is the priority output prices. i fixed it now\nL915: \nL916: cite231†More replies cite232†More replies L917: \nL918: cite233†clckwrks L919: \nL920: •\nL921: \nL922: cite234†5h ago L923: \nL924: argon4 is only available to ultra\nL925: cite235†86784273 L926: \nL927: •\nL928: \nL929: cite236†1d ago L930: \nL931: Geeze, talks worse than opus 5\nL932: \nL933: cite237†More replies L934: \nL935: cite238†SpicyElixer L936: \nL937: •\nL938: \nL939: cite239†1d ago L940: \nL941: 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.\nL942: \nL943: cite240†ISeeYouReadingMyName L944: \nL945: •\nL946: \nL947: cite241†1d ago L948: \nL949: I am finding it absolutely fantastic\nL950: \nL951: cite242†balancedchaos L952: \nL953: •\nL954: \nL955: cite243†1d ago L956: \nL957: It's absolutely brilliant.\nL958: \nL959: cite244†KH-XYZ L960: \nL961: •\nL962: \nL963: cite245†1d ago L964: 5% daily usage per prompt but the visuals were extremely well made.\nL965: \nL966: cite246†OldMansJenkins L967: \nL968: •\nL969: \nL970: cite247†20h ago L971: \nL972: It over thinks when you give it simple tasks, but it is easily the best model I've ever used for complex problems.\nL973: \nL974: At least for what I do, it's been much better than Sol, and waaay more transparent than Opus.\nL975: \nL976: cite248†PM_YOUR_OWLS L977: \nL978: •\nL979: \nL980: cite249†10h ago L981: \nL982: 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...\nL983: Does not seem worth it unless I want to give it a complex task right from the get-go with very little follow up.\nL984: \nL985: cite250†Sleepy_aka_Sleepy__ L986: \nL987: •\nL988: \nL989: cite251†1d ago L990: \nL991: Pro user here, I tried asking him \"What model are you?\", this burned 9% of my 5 hour limit.\nL992: \nL993: cite10†Nug__Nug L994: \nL995: •\nL996: \nL997: cite252†1d ago L998: \nL999: Yeah, I noticed this too. I'm also a Pro subscriber and it absolutely destroys the 5-hour limit.\n--------------------------------------------------------------------------------\nArgon 4 Thoughts? : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x54x39/argon_4_thoughts/)\nciteturn1view7 [wordlim: 200] Crawled: today; Content type: text/html; Source: open({\"ref_id\":\"turn0view1\",\"lineno\":1110}); Total lines: 1807\nL1069: cite148†kino-casino-enjoyer L1070: \nL1071: •\nL1072: \nL1073: cite272†17h ago L1074: \nL1075: What do you mean by useless? Not available? Or what?\nL1076: \nL1077: cite270†Dini_Thompson9 L1078: \nL1079: •\nL1080: \nL1081: cite273†13h ago L1082: \nL1083: Use it and see for yourself\nL1084: \nL1085: cite148†kino-casino-enjoyer L1086: \nL1087: •\nL1088: \nL1089: cite274†9h ago L1090: \nL1091: 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?\nL1092: \nL1093: cite275†More replies cite276†More replies cite277†More replies L1094: \nL1095: cite278†Photopuppet L1096: \nL1097: •\nL1098: \nL1099: cite279†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 🙂\nL1101: \nL1102: cite280†Mister_Goudchet L1103: \nL1104: •\nL1105: \nL1106: cite281†1d ago L1107: \nL1108: they fucked up. renamed pro argon and upped the usage tokens!\nL1109: \nL1110: cite282†Royal_Service L1111: \nL1112: •\nL1113: \nL1114: cite283†1d ago L1115: \nL1116: i feel the same i don't see any difference so far\nL1117: \nL1118: cite284†More replies L1119: \nL1120: cite176†tastychaii L1121: \nL1122: •\nL1123: \nL1124: cite285†1d ago L1125: How does the token usage compare with GPT Astra on medium or high?\nL1126: \nL1127: cite257†Otherwise_Gas_4344 L1128: \nL1129: •\nL1130: \nL1131: cite286†1d ago L1132: \nL1133: It’s a monster. Nearly 5% per prompt.\nL1134: \nL1135: cite287†More replies L1136: \nL1137: cite288†LostRun6292 L1138: \nL1139: •\nL1140: \nL1141: cite289†1d ago L1142: \nL1143: I got it\nL1144: \nL1145: cite290†quiet_lagoon L1146: \nL1147: •\nL1148: \nL1149: cite291†23h ago L1150: \nL1151: WEE'RE BACK\nL1152: \nL1153: cite113†Trolloschmabollo L1154: \nL1155: •\nL1156: \nL1157: cite292†19h ago L1158: I vibe coded some changes to my Plex for Windows App.\nL1159: I just asked if i could do this or that, and he said, sure we can.\nL1160: 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.\nL1161: \nL1162: I'm beyond stunned, i just coded away some annoying little things in Plex, just by asking him if it's possible\nL1163: \nL1164: cite293†Flaky_Iron5154 L1165: \nL1166: •\nL1167: \nL1168: cite294†17h ago L1169: \nL1170: Doesn't work At all...\n--------------------------------------------------------------------------------\nPeople who tried Gemini 4 Argon : r/GeminiAI (https://www.reddit.com/r/GeminiAI/comments/1x1y2a4/people_who_tried_gemini_4_argon/)\nciteturn1view8 [wordlim: 200] Crawled: today; Content type: text/html; Source: open({\"ref_id\":\"turn0view0\",\"lineno\":245}); Total lines: 757\nL240: Many people validate models on their ability to create a game or a frontend UI.\nL241: 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.\nL242: 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.\nL243: \nL244: cite63†More replies L245: \nL246: cite61†EtherealBrecht L247: \nL248: •\nL249: \nL250: cite64†19h ago L251: Always find this hilarious.\nL252: I dislike Opus it never yields good results. I prefer Sol or Astra for serious Rust coding.\nL253: But it's not quite opus 5.5 level and easily matches Astra... interesting.\nL254: \nL255: 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?\"\nL256: \nL257: cite65†jakegh L258: \nL259: •\nL260: \nL261: cite66†4d ago L262: \nL263: 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.\nL264: 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.\nL265: \nL266: But Gemini models usually do quite well in benchmarks, it remains to be seen how they are to actually use.\nL267: \nL268: cite67†Ok-Awareness-2931 L269: \nL270: •\nL271: \nL272: cite68†2d ago L273: \nL274: that's 9% more expensive, without optimization while Opus is already at the .5 mark for its version\nL275: \nL276: cite65†jakegh L277: \nL278: •\nL279: \nL280: cite69†2d ago L281: \nL282: Sure, who can predict the future? Opus 5.6 is undoubtedly on the way too.\n"
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