{"models":[{"id":"berget/convaiinnovations/laya","type":"evaluation","name":"Laya","model_id":"convaiinnovations/laya","capabilities":["text"],"speed":"fast","cost":0.004,"quality":"good","context_window":512,"description":"Laya System One decision model by ConvAI Innovations (Nandha Kishor M), a non-autoregressive ModernBERT-large encoder (421M) for typed yes/no decisions (noul), classification (choice) and rubric scoring (score), returning a probability for every option instead of text. Text or structured text input only; the English checkpoint reads 512 tokens and truncates longer input. Use POST /v3/compat/v1/systemone with model berget/convaiinnovations/laya. Weights: https://huggingface.co/convaiinnovations/laya (Apache-2.0).","pricing":{"billing_unit":"per_mtok","input":[0.04707360000000001],"output":[0]},"region":"EU","model":"laya","family":"laya","provider":{"slug":"berget","display_name":"Berget","owner_country":"SE"},"service_route":{"id":"berget/inference-eu","adapter":"berget"},"maker":{"slug":"community","display_name":"Community"},"country":"Sweden","compliance":{"residency":"EU","country":"Sweden","inference_location":"SE","zdr":{"logging":false,"moderation":false,"caching":true,"training":false,"subprocessors":false},"training":"no","logging":"none","moderation":"none","caching":"implicit","content_storage":"ephemeral","dpa_available":true,"third_party_access":null,"transfer_mechanism":"eu_resident","route_id":"berget/inference-eu"},"quantization":"fp16","references":[{"kind":"model_card","url":"https://huggingface.co/convaiinnovations/laya","created_at":"2026-10-07T06:52:19.408494Z","updated_at":"2026-10-07T06:52:19.408494Z"}],"input_modalities":["text"],"output_modalities":["decisions"]}],"total":1,"offset":0,"limit":50}