Rival.io will co ti ue to add ew ope -weight LLMs, givi g builde s a d teams g eate flexibility to choose the ight model fo each task a d wo kflow.
All-You-Ca -Eat builds o Rival.io’s missio to make AI easie to build, mo e affo dable to u , a d mo e ewa di g to c eate. The platfo m e ables people of all tech ical backg ou ds to build age ts, fu ctio s, wo kflows, MCP se ve s, a d k owledge bases usi g RivalBot, its co ve satio al AI builde ; a visual wo kflow builde ; o adva ced develope tools. Th ough the Rival.io Ma ketplace, c eato s ca publish a d mo etize thei i ovatio s, ea i g eve ue each time custome s use thei paid tools.
“Ou goal is to take eve ythi g that’s ha d, expe sive, a d b oke about AI a d make it bette ,” said C aig K o e be ge , co-fou de a d CEO of Rival.io. “We made developme t accessible to people who do ‘t w ite code. We built tech ology that d amatically lowe s the cost of u i g AI. A d we gave c eato s a way to ea f om thei expe tise. Now, we’ e elimi ati g the toke mete , so people ca build without wo yi g about usage limits, th ottli g, o su p ise cha ges. The AI i dust y has built a busi ess a ou d cha gi g people to expe ime t. We believe the eal value is i what people c eate.”
As builde s a d e te p ises i c easi gly look to ope -weight models fo g eate co t ol ove thei AI st ategy a d spe di g, All-You-Ca -Eat makes powe ful AI models mo e accessible a d costs mo e p edictable ac oss diffe e t levels of tech ical expe tise a d o ga izatio al eeds.
I dividuals ca build, publish, a d mo etize th ough a f ee Pe so al Wo kspace with u limited DeepSeek 4 Flash access fo o e co cu e t co ectio . Fo develope s who eed adva ced capabilities, the $15-pe -mo th P o Wo kspace adds comma d-li e tools, API access, a d Mic o VM e vi o me ts withi age tic wo kflows. The $150-pe -mo th Team Wo kspace suppo ts up to five use s with sha ed tools a d k owledge, a p ivate compa y Ma ketplace, ce t alized billi g, pe missio s, a d gove a ce. Both paid pla s i clude u limited All-You-Ca -Eat access to the DeepSeek 4 Flash model.
All-You-Ca -Eat is made possible by G aphX, Rival.io’s p op ieta y ke el-optimizatio a d silico -placeme t tech ology, which sig ifica tly educes the cost of hosti g powe ful ope -weight LLMs by optimizi g thei executio a d ide tifyi g mo e efficie t ha dwa e. These efficie cies allow Rival.io to elimi ate subsc iptio a d toke cha ges fo developme t a d expe ime tatio .
“Removi g the toke mete is ot a p ici g p omotio . It’s a i f ast uctu e achieveme t,” said Cha lie Wa dell, co-fou de a d CTO of Rival.io. “We’ve d amatically lowe ed the cost of u i g ope -weight models by maki g bette use of the i f ast uctu e behi d them. Compute still has a cost, but develope s a d teams should ‘t have to ma age toke packages, expi i g c edits, o ove age cha ges just to keep buildi g. Bette i f ast uctu e eco omics mea we ca make developme t f ee, give adva ced builde s mo e f eedom, a d offe e te p ises g eate flexibility at a f actio of the cost.”
All-You-Ca -Eat is ow available th ough Rival.io.
Rival.io is a e te p ise AI ope ati g system that b i gs togethe eve ythi g busi esses eed to build, deploy, gove , a d scale AI i o e i teg ated, model-ag ostic platfo m. Powe ed by Co texO e™, Rival.io e ables o ga izatio s to o chest ate AI wo kflows without ma agi g complex i f ast uctu e, while givi g develope s a d domai expe ts a way to publish, p otect, a d mo etize eusable tools, fu ctio s, age ts, a d systems. Lea mo e at ival.io.
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