{"id":139212,"date":"2026-08-13T20:13:51","date_gmt":"2026-08-13T20:13:51","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/139212\/"},"modified":"2026-08-13T20:13:51","modified_gmt":"2026-08-13T20:13:51","slug":"pathways-150m-parameter-model-breaks-the-arc-agi-1-cost-efficiency-frontier-region-2","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/139212\/","title":{"rendered":"Pathway&#8217;s 150M-Parameter Model Breaks the ARC-AGI-1 Cost-Efficiency Frontier | Region"},"content":{"rendered":"<p>PALO ALTO, Calif.&#8211;(BUSINESS WIRE)&#8211;Aug 11, 2026&#8211;<\/p>\n<p>Pathway, an AI lab building a Post-Transformer architecture and models, today published benchmark results for BDH-CQ, a 150-million-parameter reasoning model. BDH-CQ scored 29.5% pass@2 on the public ARC-AGI-1 evaluation set at a computed inference cost of $0.0007 per task. Thanks to a new approach to reasoning, BDH-CQ runs approximately 11 times as cheaply per task as GPT 5.6 Luna (Low), even after accounting for OpenAI\u2019s 80% price cut of 5.6 Luna on July 30th. Luna scores 34.2% against BDH-CQ&#8217;s 29.5%, a modest accuracy gain at 11 times the cost.<\/p>\n<p>kAm%9:D AC6DD C6=62D6 762EFC6D &gt;F=E:&gt;65:2] &#8216;:6H E96 7F== C6=62D6 96C6i k2 9C67lQ9EEADi^^HHH]3FD:?6DDH:C6]4@&gt;^?6HD^9@&gt;6^a_ae_g&#8220;aegaec^6?^Q C6=lQ?@7@==@HQm9EEADi^^HHH]3FD:?6DDH:C6]4@&gt;^?6HD^9@&gt;6^a_ae_g&#8220;aegaec^6?^k^2mk^Am<\/p>\n<p>kAmp#r\\pvx\\` D4@C6 G6CDFD 6DE:&gt;2E65 4@DE A6C E2D&lt; 2=@?8D:56 @77:4:2= p#r !C:K6 =6256C3@2C5 C6DF=ED 2D @7 yF=J b`[ a_ae] %96 C6A@CE65 D4@C6 DFCA2DD6D E96 AC6G:@FD=J C6A@CE65 4@DE\\244FC24J !2C6E@ 7C@?E:6C[ D6EE:?8 2 ?6H 36?49&gt;2C&lt; 7@C p#r\\pvx\\` 4@DE 677:4:6?4J]k^Am<\/p>\n<p>kAmp#r\\pvx\\` \ud83d\ude00 2 AF3=:4 C62D@?:?8 36?49&gt;2C&lt; E92E E6DED H96E96C 2 DJDE6&gt; 42? :?76C 2? F?56C=J:?8 CF=6 7C@&gt; 2 D&gt;2== ?F&gt;36C @7 6I2&gt;A=6D 2?5 2AA=J :E E@ 2 ?6H :?AFE[ 2 42A23:=:EJ @7E6? 2DD@4:2E65 H:E9 9F&gt;2?\\=:&lt;6 :?E6==:86?46]k^Am<\/p>\n<p>kAm%96 4@DE 82A 4@&gt;6D 7C@&gt; 2 DECF4EFC2= 5:776C6?46] |2?J EC2?D7@C&gt;6C\\32D65 C62D@?:?8 DJDE6&gt;D 6IE6C?2=:K6 E96:C H@C&lt; 2D 2 492:?\\@7\\E9@F89E[ 86?6C2E:?8 6IEC2 E@&lt;6?D D6BF6?E:2==J 2?5 7665:?8 E96&gt; 324&lt; :?E@ =2E6C DE6AD] pD E96 EC246 8C@HD[ D@ 5@ :?76C6?46 4@DE 2?5 =2E6?4J[ D:8?:7:42?E=J] qsw\\r&#8221; :?DE625 A6C7@C&gt;D E9:D H@C&lt; \ud83d\ude15 2 C64FCC6?E =2E6?E DE2E6[ =62C?:?8 7C@&gt; 6I2&gt;A=6D 2?5 C67:?:?8 2 D@=FE:@? H:E9@FE 86?6C2E:?8 2? :?E6C&gt;65:2E6 E6IE EC246] xE E9:?65:2E6\\=2?8F286 D4C2E49A25]k^Am<\/p>\n<p>kAm\u201c%@52J\u2019D px A2JD 2 DE66A E@&lt;6? 4@DE 7@C C62D@?:?8[ 3FE E92E 4@DE \ud83d\ude00 :&gt;A@D65 3J 2C49:E64EFC6[ ?@E 3J 2?J =2H @7 :?E6==:86?46] rFCC6?E=J[ 6G6CJ C62D@?:?8 DE6A 4@?DF&gt;6D 4@?E6IE[ 255D =2E6?4J[ 2?5 3FC?D 4@&gt;AFE6] (6 D9@H E92E 2 5:776C6?E 2C49:E64EFC6 492?86D E96 82&gt;6 2?5 @A6?D FA 2 H9@=6 ?6H DA246 \ud83d\ude15 E6C&gt;D @7 9@H &gt;F49 :?E6==:86?46 A6C 5@==2C] p `d_|\\A2C2&gt;6E6C &gt;@56=[ 3F:=E @? !2E9H2J\u2019D qsw 2C49:E64EFC6[ C62D@?D C64FCC6?E=J \ud83d\ude15 =2E6?E DA246[ 2?5 D6ED 2 ?6H DE2E6 @7 E96 2CE \ud83d\ude15 4@DE 677:4:6?4J @? p#r\\pvx\\`] %96 3@EE=6?64&lt; H2D ?6G6C :?E6==:86?46] xE H2D 56D:8?[\u201d D2:5 +FK2??2 $E2&gt;:C@HD&lt;2[ rt~ 2?5 4@\\7@F?56C @7 !2E9H2J]k^Am<\/p>\n<p>kAm\u201crFDE@&gt;6CD 2C6 :?4C62D:?8=J 6IA=@C:?8 9@H E@ &gt;@G6 25G2?465 C62D@?:?8 7C@&gt; 6IA6C:&gt;6?E2E:@? :?E@ AC@5F4E:@?[ H96C6 A6C7@C&gt;2?46[ 677:4:6?4J[ 2?5 D42=23:=:EJ 2== &gt;2EE6C[\u201d D2:5 }:4@=2D %2C5F44:[ w625 @7 $@=FE:@? pC49:E64EFC6 7@C $E2CEFAD t|tp 2E p&gt;2K@? (63 $6CG:46D] \u201c!2E9H2J\u2019D H@C&lt; EC2:?:?8 qsw\\r&#8221; @? p&gt;2K@? $286|2&lt;6C wJA6C!@5 A@:?ED E@ 2 AC@&gt;:D:?8 A2E9 E@H2C5 56A=@J:?8 9:89\\A6C7@C&gt;:?8 DJDE6&gt;D &gt;@C6 4@DE\\67764E:G6=J 2E D42=6]\u201dk^Am<\/p>\n<p>kAm$4@C6D 2?5 4@&gt;A2C:D@? 4@DED 2C6 5C2H? 7C@&gt; E96 p#r !C:K6 u@F?52E:@?VD AF3=:4 =6256C3@2C5[ H9:49 A=@ED 6249 DF3&gt;:EE65 DJDE6&gt;VD 36?49&gt;2C&lt; D4@C6 282:?DE :ED 4@DE A6C E2D&lt;[ 2D @7 yF=J a_ae] !2E9H2JVD 4@DE \ud83d\ude00 4@&gt;AFE65 7C@&gt; &gt;62DFC65 92C5H2C6 E:&gt;6] r@&gt;A2C:D@? 4@DED 2C6 E9@D6 C6A@CE65 E@ E96 =6256C3@2C5 2?5 &gt;2J C67=64E p!x AC:4:?8 7@C 86?6C2=:DE &gt;@56=D]k^Am<\/p>\n<p>kAmqswVD p#r\\pvx\\` C6DF=ED H6C6 6G2=F2E65 3J \u0141F&lt;2DK z2:D6C[ 2 4@\\2FE9@C @7 E96 a_`f A2A6C E92E :?EC@5F465 E96 %C2?D7@C&gt;6C 2C49:E64EFC6[ H9@ D2:5[ QxVG6 7@==@H65 !2E9H2J 4=@D6=J 2?5 C6A=:42E65 E96:C p#r\\pvx\\` C6DF=ED &gt;JD6=7] !2E9H2J D9@HD E92E &gt;@56= 2C49:E64EFC6[ ?@E ;FDE D42=6[ 42? 5C:G6 E96 ?6IE =62A \ud83d\ude15 px C62D@?:?8]Qk^Am<\/p>\n<p>kAm%96 C6DF=ED H6C6 2=D@ C6AC@5F465 3J #:492C5 +9@?8[ 2? }*&amp; C6D62C496C 7@4FD65 @? &gt;@56= 6G2=F2E:@? 2?5 36?49&gt;2C&lt; C@3FDE?6DD 2?5 2 4@\\2FE9@C 7C@&gt; q:6=:&lt;]k^Am<\/p>\n<p>kAm!2E9H2J A=2?D E@ D42=6 E96 2C49:E64EFC6 ?6IE 2?5 6IE6?5 E96 2AAC@249 E@ &gt;@C6 492==6?8:?8 C62D@?:?8 36?49&gt;2C2E96&gt;2E:42= C62D@?:?8[ p#r\\pvx\\a[ 2?5 p#r\\pvx\\b[ 2?5 E@ 3F:=5 2 =2E6?E C62D@?:?8 {2C86 {2?8F286 |@56=] (96? :ED 677:4:6?4J 2?5 DE2E6\\EC24&lt;:?8 42A23:=:E:6D 6IE6?5 E@ E9@D6 5@&gt;2:?D[ qsw H:== DFAA@CE 2 H:56 C2?86 @7 2AA=:42E:@?D E92E &gt;FDE C62D@? C6=:23=J 2D :?7@C&gt;2E:@? 2?5 4@?DEC2:?ED 492?86[ 7C@&gt; 4J36CD64FC:EJ :?4:56?E C6DA@?D6 E@ C62=\\E:&gt;6 :?5FDEC:2= @A6C2E:@?D] t2C=J 6IA6C:&gt;6?ED 4@?7:C&gt; %C2?D7@C&gt;6C\\=:&lt;6 D42=:?8 =2HD 2AA=J 5FC:?8 AC6EC2:?:?8 2E D42=6D 7C@&gt; `q E@ e__q A2C2&gt;6E6CD[ H9:=6 AC6D6CG:?8 E96 =2E6?E C62D@?:?8 42A23:=:E:6D DA64:7:4 E@ qsw\\r&#8221;]k^Am<\/p>\n<p>kAm%96 7F== A2A6C 2?5 &gt;6E9@5@=@8J 2C6 2G2:=23=6 2E k2 9C67lQ9EEADi^^4ED]3FD:?6DDH:C6]4@&gt;^4E^r%n:5lD&gt;2CE=:?AjFC=l9EEATbpTauTauA2E9H2J]4@&gt;TauC6D62C49Tau:?EC@5F4:?8\\359\\4BTau2C4\\28:\\`U2&gt;Aj6D966Eldcdgfc_gU2&gt;Aj?6HD:E6&gt;:5la_ae_g&#8220;aegaecU2&gt;Aj=2?l6?\\&amp;$U2&gt;Aj2?49@Cl9EEATbpTauTauA2E9H2J]4@&gt;TauC6D62C49Tau:?EC@5F4:?8\\359\\4BTau2C4\\28:\\`U2&gt;Aj:?56Il`U2&gt;Aj&gt;5dl`7ec226`_c2_f524ebeg3hd772h4d_e5Q C6=lQ?@7@==@HQ D92A6lQC64EQm9EEAi^^A2E9H2J]4@&gt;^C6D62C49^:?EC@5F4:?8\\359\\4B^2C4\\28:\\`k^2m]k^Am<\/p>\n<p>kAmk6&gt;mp3@FE !2E9H2Jk^6&gt;mk^Am<\/p>\n<p>kAm!2E9H2J \ud83d\ude00 2? px =23 3F:=5:?8 !@DE\\%C2?D7@C&gt;6C &gt;@56= 2C49:E64EFC6] xED qsw 2C49:E64EFC6 &lt;66AD &gt;6&gt;@CJ 2?5 C62D@?:?8 :?D:56 E96 &gt;@56= C2E96C E92? \ud83d\ude15 2 8C@H:?8 4@?E6IE H:?5@H[ 2? 2AAC@249 2:&gt;65 2E DJDE6&gt;D E92E 42? 252AE 2D :?7@C&gt;2E:@? 492?86D :?DE625 @7 DE2CE:?8 7C@&gt; E96 D2&gt;6 DE2E6 @? 6G6CJ FD6]k^Am<\/p>\n<p>kAm!2E9H2J \ud83d\ude00 =65 3J 4@\\7@F?56C 2?5 rt~ +FK2??2 $E2&gt;:C@HD&lt;2[ 2 4@&gt;A=6I:EJ D4:6?E:DE[ 2=@?8D:56 r%~ y2? r9@C@HD&lt;:[ AC6G:@FD=J 2 C6D62C496C 2E v@@8=6 qC2:?[ 2?5 r$~ p5C:2? z@D@HD&lt;:[ 2 4@&gt;AFE6C D4:6?E:DE H9@ 4@&gt;A=6E65 9:D !9s 2E a_] %96 4@&gt;A2?J \ud83d\ude00 324&lt;65 3J :?G6DE@CD 2?5 25G:D@CD :?4=F5:?8 \u0141F&lt;2DK z2:D6C[ 2 4@\\2FE9@C @7 E96 A2A6C E92E :?EC@5F465 E96 EC2?D7@C&gt;6C 2C49:E64EFC6] !2E9H2J \ud83d\ude00 9625BF2CE6C65 \ud83d\ude15 !2=@ p=E@[ r2=:7@C?:2]k^Am<\/p>\n<p>kAm&#8217;:6H D@FC46 G6CD:@? @? k2 9C67lQ9EEAi^^3FD:?6DDH:C6]4@&gt;Qm3FD:?6DDH:C6]4@&gt;k^2mik2 9C67lQ9EEADi^^HHH]3FD:?6DDH:C6]4@&gt;^?6HD^9@&gt;6^a_ae_g&#8220;aegaec^6?^Q C6=lQ?@7@==@HQm9EEADi^^HHH]3FD:?6DDH:C6]4@&gt;^?6HD^9@&gt;6^a_ae_g&#8220;aegaec^6?^k^2mk^Am<\/p>\n<p>kAmr~}%pr%i %96 w2E49 p86?4Jk^Am<\/p>\n<p>kAmk2 9C67lQ&gt;2:=E@iA2E9H2JoE9692E49286?4J]4@&gt;QmA2E9H2JoE9692E49286?4J]4@&gt;k^2mk^Am<\/p>\n<p>kAmzt*(~#si rp{xu~#}xp &amp;}x%ts $%p%t$ }~#%w p|t#xrpk^Am<\/p>\n<p>kAmx}s&amp;$%#* zt*(~#si $~u%(p#t %trw}~{~v* p#%xuxrxp{ x}%t{{xvt}rtk^Am<\/p>\n<p>kAm$~rti !2E9H2Jk^Am<\/p>\n<p>kAmr@AJC:89E qFD:?6DD (:C6 a_ae]k^Am<\/p>\n<p>kAm!&amp;qi _g^&#8220;^a_ae _giac p|^sx$ri _g^&#8220;^a_ae _giad p|k^Am<\/p>\n<p>kAmk2 9C67lQ9EEAi^^HHH]3FD:?6DDH:C6]4@&gt;^?6HD^9@&gt;6^a_ae_g&#8220;aegaec^6?Qm9EEAi^^HHH]3FD:?6DDH:C6]4@&gt;^?6HD^9@&gt;6^a_ae_g&#8220;aegaec^6?k^2mk^Am<\/p>\n<p>Copyright Business Wire 2026.<\/p>\n","protected":false},"excerpt":{"rendered":"PALO ALTO, Calif.&#8211;(BUSINESS WIRE)&#8211;Aug 11, 2026&#8211; Pathway, an AI lab building a Post-Transformer architecture and models, today published&hellip;\n","protected":false},"author":2,"featured_media":139213,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[6744,3013,8659],"class_list":["post-139212","post","type-post","status-publish","format-standard","has-post-thumbnail","category-agi","tag-agi","tag-artificial-general-intelligence","tag-region"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/139212","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=139212"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/139212\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/139213"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=139212"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=139212"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=139212"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}