@@ -469,26 +469,12 @@ export const data: Provider[] = [
469469 ] ,
470470 models : [
471471 {
472- id : 'meta.llama3-8b-instruct-v1:0' ,
473- match : {
474- contains : 'llama3-8b-instruct-v1' ,
475- } ,
476- prices : {
477- input_mtok : 0.3 ,
478- output_mtok : 0.6 ,
479- } ,
480- } ,
481- {
482- id : 'nova-lite-v1' ,
483- name : 'Nova Lite 1.0' ,
472+ id : 'amazon.nova-lite-v1:0' ,
473+ name : 'Nova Lite' ,
484474 description :
485475 'Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite can handle real-time customer interactions, document analysis, and visual question-answering tasks with high accuracy.' ,
486476 match : {
487- or : [
488- {
489- contains : 'nova-lite-v1' ,
490- } ,
491- ] ,
477+ contains : 'nova-lite' ,
492478 } ,
493479 prices : {
494480 input_mtok : 0.06 ,
@@ -497,16 +483,12 @@ export const data: Provider[] = [
497483 } ,
498484 } ,
499485 {
500- id : 'nova-micro-v1' ,
501- name : 'Nova Micro 1.0 ' ,
486+ id : 'amazon. nova-micro-v1:0 ' ,
487+ name : 'Nova Micro' ,
502488 description :
503489 'Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length of 128K tokens and optimized for speed and cost, Amazon Nova Micro excels at tasks such as text summarization, translation, content classification, interactive chat, and brainstorming. It has simple mathematical reasoning and coding abilities.' ,
504490 match : {
505- or : [
506- {
507- contains : 'nova-micro-v1' ,
508- } ,
509- ] ,
491+ contains : 'nova-micro' ,
510492 } ,
511493 prices : {
512494 input_mtok : 0.035 ,
@@ -515,23 +497,317 @@ export const data: Provider[] = [
515497 } ,
516498 } ,
517499 {
518- id : 'nova-pro-v1' ,
519- name : 'Nova Pro 1.0' ,
500+ id : 'amazon.nova-premier-v1:0' ,
501+ name : 'Nova Premier' ,
502+ match : {
503+ contains : 'nova-premier' ,
504+ } ,
505+ prices : {
506+ input_mtok : 2.5 ,
507+ cache_read_mtok : 0.625 ,
508+ output_mtok : 12.5 ,
509+ } ,
510+ } ,
511+ {
512+ id : 'amazon.nova-pro-v1:0' ,
513+ name : 'Nova Pro' ,
520514 description :
521515 'Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December 2024, it achieves state-of-the-art performance on key benchmarks including visual question answering (TextVQA) and video understanding (VATEX).' ,
522516 match : {
523- or : [
524- {
525- contains : 'nova-pro-v1' ,
526- } ,
527- ] ,
517+ contains : 'nova-pro' ,
528518 } ,
529519 prices : {
530520 input_mtok : 0.8 ,
531521 cache_read_mtok : 0.2 ,
532522 output_mtok : 3.2 ,
533523 } ,
534524 } ,
525+ {
526+ id : 'amazon.nova-sonic-v1:0' ,
527+ name : 'Nova Sonic' ,
528+ match : {
529+ contains : 'nova-sonic' ,
530+ } ,
531+ prices : {
532+ input_mtok : 0.06 ,
533+ output_mtok : 0.24 ,
534+ input_audio_mtok : 3.4 ,
535+ output_audio_mtok : 13.6 ,
536+ } ,
537+ } ,
538+ {
539+ id : 'amazon.titan-embed-text-v1' ,
540+ name : 'Titan Embeddings G1 - Text' ,
541+ match : {
542+ contains : 'titan-embed-text' ,
543+ } ,
544+ prices : {
545+ input_mtok : 0.1 ,
546+ } ,
547+ } ,
548+ {
549+ id : 'amazon.titan-text-express-v1' ,
550+ name : 'Titan Text G1 - Express' ,
551+ match : {
552+ contains : 'titan-text-express' ,
553+ } ,
554+ prices : {
555+ input_mtok : 0.2 ,
556+ output_mtok : 0.6 ,
557+ } ,
558+ } ,
559+ {
560+ id : 'amazon.titan-text-lite-v1' ,
561+ name : 'Titan Text G1 - Lite' ,
562+ match : {
563+ contains : 'titan-text-lite' ,
564+ } ,
565+ prices : {
566+ input_mtok : 0.15 ,
567+ output_mtok : 0.2 ,
568+ } ,
569+ } ,
570+ {
571+ id : 'anthropic.claude-3-haiku-20240307-v1:0' ,
572+ name : 'Claude 3 Haiku' ,
573+ match : {
574+ contains : 'claude-3-haiku-20240307' ,
575+ } ,
576+ prices : {
577+ input_mtok : 0.25 ,
578+ } ,
579+ } ,
580+ {
581+ id : 'deepseek.r1-v1:0' ,
582+ name : 'DeepSeek-R1' ,
583+ match : {
584+ contains : 'r1' ,
585+ } ,
586+ prices : {
587+ input_mtok : 1.35 ,
588+ output_mtok : 5.4 ,
589+ } ,
590+ } ,
591+ {
592+ id : 'meta.llama3-1-70b-instruct-v1:0' ,
593+ name : 'Llama 3.1 70B Instruct' ,
594+ match : {
595+ contains : 'llama3-1-70b-instruct' ,
596+ } ,
597+ prices : {
598+ input_mtok : 0.72 ,
599+ output_mtok : 0.72 ,
600+ } ,
601+ } ,
602+ {
603+ id : 'meta.llama3-1-8b-instruct-v1:0' ,
604+ name : 'Llama 3.1 8B Instruct' ,
605+ match : {
606+ contains : 'llama3-1-8b-instruct' ,
607+ } ,
608+ prices : {
609+ input_mtok : 0.22 ,
610+ output_mtok : 0.22 ,
611+ } ,
612+ } ,
613+ {
614+ id : 'meta.llama3-2-11b-instruct-v1:0' ,
615+ name : 'Llama 3.2 11B Instruct' ,
616+ match : {
617+ contains : 'llama3-2-11b-instruct' ,
618+ } ,
619+ prices : {
620+ input_mtok : 0.16 ,
621+ output_mtok : 0.16 ,
622+ } ,
623+ } ,
624+ {
625+ id : 'meta.llama3-2-1b-instruct-v1:0' ,
626+ name : 'Llama 3.2 1B Instruct' ,
627+ match : {
628+ contains : 'llama3-2-1b-instruct' ,
629+ } ,
630+ prices : {
631+ input_mtok : 0.1 ,
632+ output_mtok : 0.1 ,
633+ } ,
634+ } ,
635+ {
636+ id : 'meta.llama3-2-3b-instruct-v1:0' ,
637+ name : 'Llama 3.2 3B Instruct' ,
638+ match : {
639+ contains : 'llama3-2-3b-instruct' ,
640+ } ,
641+ prices : {
642+ input_mtok : 0.15 ,
643+ output_mtok : 0.15 ,
644+ } ,
645+ } ,
646+ {
647+ id : 'meta.llama3-2-90b-instruct-v1:0' ,
648+ name : 'Llama 3.2 90B Instruct' ,
649+ match : {
650+ contains : 'llama3-2-90b-instruct' ,
651+ } ,
652+ prices : {
653+ input_mtok : 0.72 ,
654+ output_mtok : 0.72 ,
655+ } ,
656+ } ,
657+ {
658+ id : 'meta.llama3-3-70b-instruct-v1:0' ,
659+ name : 'Llama 3.3 70B Instruct' ,
660+ match : {
661+ contains : 'llama3-3-70b-instruct' ,
662+ } ,
663+ prices : {
664+ input_mtok : 0.72 ,
665+ output_mtok : 0.72 ,
666+ } ,
667+ } ,
668+ {
669+ id : 'meta.llama3-70b-instruct-v1:0' ,
670+ name : 'Llama 3 70B Instruct' ,
671+ match : {
672+ contains : 'llama3-70b-instruct' ,
673+ } ,
674+ prices : {
675+ input_mtok : 2.65 ,
676+ output_mtok : 3.5 ,
677+ } ,
678+ } ,
679+ {
680+ id : 'meta.llama3-8b-instruct-v1:0' ,
681+ name : 'Llama 3 8B Instruct' ,
682+ match : {
683+ contains : 'llama3-8b-instruct' ,
684+ } ,
685+ prices : {
686+ input_mtok : 0.3 ,
687+ output_mtok : 0.6 ,
688+ } ,
689+ } ,
690+ {
691+ id : 'meta.llama4-maverick-17b-instruct-v1:0' ,
692+ name : 'Llama 4 Maverick 17B Instruct' ,
693+ match : {
694+ contains : 'llama4-maverick-17b-instruct' ,
695+ } ,
696+ prices : {
697+ input_mtok : 0.24 ,
698+ output_mtok : 0.97 ,
699+ } ,
700+ } ,
701+ {
702+ id : 'meta.llama4-scout-17b-instruct-v1:0' ,
703+ name : 'Llama 4 Scout 17B Instruct' ,
704+ match : {
705+ contains : 'llama4-scout-17b-instruct' ,
706+ } ,
707+ prices : {
708+ input_mtok : 0.17 ,
709+ output_mtok : 0.66 ,
710+ } ,
711+ } ,
712+ {
713+ id : 'mistral.mistral-7b-instruct-v0:2' ,
714+ name : 'Mistral 7B Instruct' ,
715+ match : {
716+ contains : 'mistral-7b-instruct' ,
717+ } ,
718+ prices : {
719+ input_mtok : 0.15 ,
720+ output_mtok : 0.2 ,
721+ } ,
722+ } ,
723+ {
724+ id : 'mistral.mistral-large-2402-v1:0' ,
725+ name : 'Mistral Large (24.02)' ,
726+ match : {
727+ contains : 'mistral-large-2402' ,
728+ } ,
729+ prices : {
730+ input_mtok : 4 ,
731+ output_mtok : 12 ,
732+ } ,
733+ } ,
734+ {
735+ id : 'mistral.mistral-small-2402-v1:0' ,
736+ name : 'Mistral Small (24.02)' ,
737+ match : {
738+ contains : 'mistral-small-2402' ,
739+ } ,
740+ prices : {
741+ input_mtok : 1 ,
742+ output_mtok : 3 ,
743+ } ,
744+ } ,
745+ {
746+ id : 'mistral.mixtral-8x7b-instruct-v0:1' ,
747+ name : 'Mixtral 8x7B Instruct' ,
748+ match : {
749+ contains : 'mixtral-8x7b-instruct' ,
750+ } ,
751+ prices : {
752+ input_mtok : 0.45 ,
753+ output_mtok : 0.7 ,
754+ } ,
755+ } ,
756+ {
757+ id : 'mistral.pixtral-large-2502-v1:0' ,
758+ name : 'Pixtral Large (25.02)' ,
759+ match : {
760+ contains : 'pixtral-large-2502' ,
761+ } ,
762+ prices : {
763+ input_mtok : 2 ,
764+ output_mtok : 6 ,
765+ } ,
766+ } ,
767+ {
768+ id : 'openai.gpt-oss-120b-1:0' ,
769+ name : 'gpt-oss-120b' ,
770+ match : {
771+ contains : 'gpt-oss-120b' ,
772+ } ,
773+ prices : {
774+ input_mtok : 0.15 ,
775+ output_mtok : 0.6 ,
776+ } ,
777+ } ,
778+ {
779+ id : 'openai.gpt-oss-20b-1:0' ,
780+ name : 'gpt-oss-20b' ,
781+ match : {
782+ contains : 'gpt-oss-20b' ,
783+ } ,
784+ prices : {
785+ input_mtok : 0.07 ,
786+ output_mtok : 0.3 ,
787+ } ,
788+ } ,
789+ {
790+ id : 'qwen.qwen3-32b-v1:0' ,
791+ name : 'Qwen3 32B (dense)' ,
792+ match : {
793+ contains : 'qwen3-32b' ,
794+ } ,
795+ prices : {
796+ input_mtok : 0.15 ,
797+ output_mtok : 0.6 ,
798+ } ,
799+ } ,
800+ {
801+ id : 'qwen.qwen3-coder-30b-a3b-v1:0' ,
802+ name : 'Qwen3-Coder-30B-A3B-Instruct' ,
803+ match : {
804+ contains : 'qwen3-coder-30b-a3b' ,
805+ } ,
806+ prices : {
807+ input_mtok : 0.15 ,
808+ output_mtok : 0.6 ,
809+ } ,
810+ } ,
535811 ] ,
536812 } ,
537813 {
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