nace-aiListed Oct 16, 2026

drex-max

Drex Max is the flagship 27B 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…

Source description

Drex Max is the flagship 27B 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 262K tokens, and ranks #1 on Decision Index 0.3.2 with 67.59, ahead of Drex v2.0 and Jev 1.13.0.

Context window262.1K
Provider endpoints1
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

1 quote

Model specifications

Developer
nace-ai
Modality
Decision
Context
262,144 tokens
Maximum output
Not reported
Weights
Not reported
Provider listed
Oct 16, 2026
First discovered
Oct 19, 2026

Exact identities

  • deepinfranace-ai/drex-max

Sources

Updated Oct 19, 2026

More from nace-ai

View all ↗
nace-aiListed 7 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 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
$0.04in$0.00out/ 1M tokens · USDDeepInfra · 2 endpoints
nace-aiListed 10 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