Model · reax-1.3

REAX 1.3

REAX is a decentralised lab on Bittensor subnet 92: miners train decision models in an open competition, and our releases build on the best of them. REAX 1.3 has two parts that run in parallel on one GPU; each part builds on a fine-tune trained by a REAX miner (uid 18 and uid 83). Jev-compatible interface, with a probability for every option.

Model idreax-1.3
TierEU only (S1-Region: eu); Peer-to-Peer is not offered
Price€0.400 or $0.400 per 1M input tokens, output free
Input billingREAX 1.3 runs two models on every request, and input tokens count both. The first also reads inputs up to about 3,000 tokens twice, so a 2,600-token state bills about 8,100 tokens. usage.input_tokens shows the exact figure.
Questions per request1
Input per question28,672 billed tokens including the state, not the length of your text: both models read the text, so about 78,000 characters of English prose or 17,000 of invoice-style lines fit (measured on sample text). Longer inputs are refused, not truncated
Question typesnoul, choice, score; text only
Weightsdecisionmodels/REAX-1.3 (Apache-2.0)
Inference codeREAX Engine (MIT), reax13 mode

The two parts, their lineage, licences and notices for every contributor, including the miners, are in the model card. "Jev-compatible" describes the request/response interface only; it does not imply endorsement or identical outputs.

First request

curl
curl https://api.decisionmodels.io/v1/systemone \
  -H "Authorization: Bearer $DECISIONMODELS_API_KEY" \
  -H "Content-Type: application/json" \
  -H "S1-Region: eu" \
  -d '{"model":"reax-1.3","state":"A parcel arrived late.","questions":{"route":{"type":"choice","instructions":"Which team should handle the complaint?","criteria":{"delivery":"Delivery support","billing":"Billing support"}}}}'