OpenDecision

deepanwadhwaDecision modelOpen weights

OpenDecision by deepanwadhwa is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text.

Pricing

No hosted price is listed. The weights are open: the cost is your own compute.

Specifications

Provider: deepanwadhwa
Parameters: —
Released: Sep 2026
Open weights: Yes
Question types: Choice (one of N options), Score (ordered rubric), Yes / no
Mechanism: Decoder LM with a decision readout
Backbone: —
Jev-compatible request: Yes
Runs on CPU: —
License: —

Benchmarks

Benchmark Heaven JevBench (Capability): 38.0
DecisionBenchECE 0.183: 0.504

Compare OpenDecision with…

OpenDecision vs amos-1-large—/1M in OpenDecision vs amos-1-medium—/1M in OpenDecision vs Celeris-1 Decision$0.04/1M in OpenDecision vs ScaleDown Classify-1$0.04/1M in OpenDecision vs Cloudflare clef—/1M in OpenDecision vs Cloudflare clef-flash—/1M in

FAQ

How much does OpenDecision cost?

OpenDecision has no hosted price listed; its weights are open, so the cost is the compute you run it on.

What questions can OpenDecision answer?

OpenDecision answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.

Is OpenDecision well calibrated?

No calibration measurement for OpenDecision is recorded yet.

Is OpenDecision open weight, and can it run on a CPU?

Yes, OpenDecision has open weights.

Data as of 2026-10-14. Source: Metatext decision-model catalogue, 2026-10-14 (DecisionBench, Benchmark Heaven JevBench). Pricing is per 1M tokens (USD); confirm with the provider before production use.