Achei uma IA

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+(c<10?c.toFixed(2):Math.round(c).toLocaleString('en-US'));$('#mtp-tok').textContent=tok.toLocaleString('en-US')+' input tokens per day'} ['#mtp-dec','#mtp-img','#mtp-txt'].forEach(function(s){$(s).oninput=calc});calc(); window.addEventListener('load',post);window.addEventListener('resize',post);setTimeout(post,300);setTimeout(post,1200); })(); </script> </body></html> \" style=\"width:100%;height:600px;border:0;display:block;background:transparent;\" loading=\"lazy\" scrolling=\"no\"> (function(){var f=document.getElementById('mtp-drexmax-frame');window.addEventListener('message',function(e){if(!e.data||e.source!==f.contentWindow)return;var h=e.data.mtpDrexMaxHeight;if(h&&h>200)f.style.height=h+'px';});})(); How fast and how cheap is Drex Max? Nace lists a 174 ms median per screenshot decision . Jev 1.14 takes 253 ms on the same 243 questions. Nace says Drex Max accepts every screenshot size, while Jev 1.14 rejects 15.9% by size. Across its benchmark table, Nace reports a 183 ms median latency. The launch post cites 34 ms per decision and under 1 second at 262K tokens. Those figures use different setups, so treat them as separate claims. Pricing is $0.06 per 1M input tokens . Output tokens are not billed. New accounts get $25 in signup credit , and failed requests cost nothing. How does Drex Max compare with other decision models? Feature Drex Max Jev 1.14 Drex 2.0 d3-flash Developer Nace AI TypeSafe AI Nace AI vLLM Semantic Router Parameters Not disclosed Not disclosed 35B total, about 3B active (MoE) 8.39B Context 262,144 tokens per question 64K per request, 262K with long-context header 16,384 default, up to 131,072 Not disclosed Inputs Text, images Text (TypeSafe docs) Text Text, images, video License Proprietary (hosted) Proprietary (hosted) Nace.AI Open RAIL-M Apache-2.0 Decision Index (public) 67.6 (0.3.2) 60.7 (0.3.2, per Nace) 61.25 (0.3.1) 57.8 (0.3.2) Vision index (public) 74.5 Not disclosed Not applicable 69.9 Price per 1M input tokens $0.06 $0.042 $0.06 Self-host, free trial Runs on Nace Console API TypeSafe API Single accelerator, bf16 about 70 GB 1 AMD Instinct MI325X tested Note: d3-flash’s vision figure is its own evaluation on the 0.3.2 vision board. Drex Max’s figure is Nace’s own run. Cross-vendor numbers are not a controlled comparison. Key Takeaways Drex Max is Nace AI’s first multimodal decision model. It scores 67.59 on Decision Index 0.3.2, 6.9 above Jev 1.14. Screenshot decisions take 174 ms, versus 253 ms for Jev 1.14. Pricing is $0.06 per 1M input tokens, with output free. Size is undisclosed, weights are closed, and scores are self-reported. Check out the Drex Max guide , the Drex product page and the launch post . Also read our earlier coverage of Drex 1.5 . 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 Meet Drex Max: Nace AI’s Multimodal Decision Model for Computer-Use Agents with a Score 67.59 appeared first on MarkTechPost .","datePublished":"2026-10-20T00:03:38+00:00","dateModified":"2026-10-20T08:02:03.296126+00:00","image":"https://s.w.org/images/core/emoji/17.0.2/72x72/25c0.png","publisher":{"@type":"Organization","name":"Achei uma IA","url":"https://acheiumaia.com.br"}}