Achei uma IA

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+Math.round(x).toLocaleString()})} $('#mtp-rin').oninput=drawP;$('#mtp-rout').oninput=drawP; window.addEventListener('load',resize);window.addEventListener('resize',resize);setTimeout(resize,300); })(); </script> </body></html> \" style=\"width:100%;height:600px;border:0;display:block;background:transparent;\" loading=\"lazy\" scrolling=\"no\"> (function(){var f=document.getElementById('mtp-g4a-frame');window.addEventListener('message',function(e){if(e.data&&e.data.id==='mtp-g4a'&&e.data.mtpH&&e.source===f.contentWindow){f.style.height=e.data.mtpH+'px';}});})(); Gemini 4 Argon vs GPT-6 Astra vs Claude Opus 5.5 vs Claude Fable 5.1 Feature Gemini 4 Argon GPT-6 Astra Claude Opus 5.5 Claude Fable 5.1 Architecture Sparse MoE transformer Not disclosed Not disclosed Not disclosed Total / active params Not disclosed Not disclosed Not disclosed Not disclosed Context window 1M (input + output combined) 1,050,000 1M 1M Max output Up to 1M 128K 128K 128K Input modalities Text, image, audio, video Text, image Text, image Text, image Knowledge cutoff Mar 2026 Apr 30, 2026 Jun 2026 Jun 2026 API price (in / out per 1M) $2 / $10 intro, $4 / $20 after Nov 30 $10 / $50 $4 / $20 $10 / $50 License / access Proprietary, API only Proprietary, API only Proprietary, API only Proprietary, API only Vals Index 68.90% 63.13% 66.97% 65.83% DeepSWE v1.1 (Google table) 77.9% 74.1% 74.2% 67.4% Terminal-Bench 4.0 (Google table) 57.4% 58.2% 66.4% 57.9% FrontierSWE v2 (Google table) 55.0% 65.5% 62.3% 56.3% What did Google use Argon for before launch? Google shared internal results in its launch post : Argon in Antigravity raised agentic code submissions by over 35% and cut rollbacks by nearly a third. It delivered a 2.85x end-to-end vLLM inference speedup for Gemma 4 E2B on an A100. In Google’s open-source Agent Development Kit , it cut session prep time by 40%. Cold imports got 21% faster. On Gray Swan’s indirect prompt injection benchmark, attack success fell to 0.7% across 15 adaptive attempts. How much does Gemini 4 Argon cost, and where can you use it? Introductory pricing is $2 input and $10 output per million tokens. Cached input tokens are 95% off. After November 30, 2026, the price rises to $4 and $20. That matches Claude Opus 5.5 and sits below GPT-6 Astra’s $10 and $50. Access paths, per the developer post : Developers: Gemini API paid tier in AI Studio and Android Studio. Enterprises: Gemini platform, Gemini for business and Google Antigravity. Consumers: Gemini app and AI Mode in Search for Google AI Pro and Ultra subscribers. Cyber defenders: the Fairwind Program , with access to Argon without cyber guardrails. Key Takeaways Argon is a sparse MoE model with a 1M token output limit. It ranks #1 on the Vals Index at 68.90%. Intro pricing is $2/$10 per million tokens until November 30. It trails rivals on FrontierSWE v2 and Terminal-Bench 4.0. Most rival scores in Google’s table are self-reported. Check out the Model Card , Evaluation Methodology and Developer Guide . All credit goes to the researcher of this project. Also, feel free to follow us on Twitter and don’t forget to join our 150k+ML SubReddit and Subscribe to our Newsletter . Wait! are you on telegram? now you can join us on telegram as well. The post Google Releases Gemini 4 Argon API With 1M Token Output Limit appeared first on MarkTechPost .","datePublished":"2026-10-14T05:03:34+00:00","dateModified":"2026-10-14T08:02:25.057146+00:00","image":"https://s.w.org/images/core/emoji/17.0.2/72x72/25b6.png","publisher":{"@type":"Organization","name":"Achei uma IA","url":"https://acheiumaia.com.br"}}