nace-aiListed Oct 8, 2026

drex-v1.5

Drex v1.5 is a 9B decision model from Nace.AI. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for every option in a single…

Source description

Drex v1.5 is a 9B decision model from Nace.AI. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated probability for every option in a single forward pass, with no text generation. It is TypeSafe System One compatible, handles contexts up to 131K tokens, and scores 58.28 on Decision Index 0.2.1, ahead of Jev 1.13.0.

Context window131.1K
Max output118K
Provider endpoints2
Benchmark results0
Measured performance

Benchmark results

All leaderboards ↗
—

No published results in this index yet

Scores appear here when an evaluation matches this exact model.

Access & cost

Prices across providers

2 quotes

Your token mix

USD · listed token rates

Input
$0.04
Output
$0.00
USD / 1M tokens
131.1K context118K max outputPrice source ↗Checked Oct 18, 2026
Endpoint IDnace-ai/drex-v1.5

Model specifications

Developer
nace-ai
Modality
Decision
Context
131,072 tokens
Maximum output
117,964 tokens
Weights
Open weights
Provider listed
Oct 8, 2026
First discovered
Oct 16, 2026

Exact identities

  • openrouternace-ai/drex-v1.5
  • deepinfranace-ai/drex-v1.5

Sources

Updated Oct 18, 2026

More from nace-ai

View all ↗
nace-aiListed 5 days ago

Nace.AI: Drex v2.0

Self-hosted decision scoring via Python or dedicated llama.cpp/Ollama forks; returns option probabilities without prose.

131.1K contextNo reported score
No reported score
$0.06in$0.00out/ 1M tokens · USDOpenRouter
nace-aiListed 9 days ago

drex-v2.0

Drex v2.0 is a 35B mixture-of-experts decision model (3B active) from Nace.AI. Given a state (text or JSON) and typed questions (yes/no, multiple choice, or ordinal score), it returns a calibrated…

131.1K contextNo reported score
No reported score
$0.06in$0.00out/ 1M tokens · USDDeepInfra