- Input
- $0.06
- Output
- $0.00
nace-aiListed Oct 8, 2026
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…
Source description
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 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 ranks #1 on Decision Index 0.2.1 with 60.78, ahead of Drex v1.5 and Jev 1.13.0.
Context window131.1K
Provider endpoints1
Benchmark results0
Measured performance
All leaderboards ↗Benchmark results
No published results in this index yet
Scores appear here when an evaluation matches this exact model.
Access & cost
1 quotePrices across providers
Model specifications
- Developer
- nace-ai
- Modality
- Decision
- Context
- 131,072 tokens
- Maximum output
- Not reported
- Weights
- Not reported
- Provider listed
- Oct 8, 2026
- First discovered
- Oct 16, 2026
More from nace-ai
View all ↗nace-aiListed 6 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
nace-aiListed 10 days ago
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…
131.1K contextOpen weightsNo reported score
No reported score