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Nace.AIDecision modelOpen weights

Drex v1.5

Summary

Drex v1.5 classifies cases using supplied answer options. It can use text or JSON as shared context and return separate probabilities for several questions.

The open weights have about nine billion parameters and use MiMo-V2.6-Distill-Qwen-9B as a backbone. Nace.AI documents 131,072 tokens of shared API context and 139,264 tokens per question including context.

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 2 published benchmark results

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

Decision Index 0.4.1 (Public) (Show measurement, test conditions, and source)
Source value
58.08
Score
58.08
Metric
chance-corrected skill
Unit
points
Benchmark version
0.4.1
Category
decision
Direction
Higher is better
Source type
vendor-reported
Evaluator
Nace.AI Drex technical report
Status
active
Retrieved at
2026-11-07
Methodology
Vendor-reported result. Public-suite result from the October 22, 2026 leaderboard, reproduced in Table 12.
Source Nace.AI Drex technical report
Decision Index 0.4.1 (Full) (Show measurement, test conditions, and source)
Source value
45.78
Score
45.78
Metric
chance-corrected skill
Unit
points
Benchmark version
0.4.1
Category
decision
Direction
Higher is better
Source type
vendor-reported
Evaluator
Nace.AI Drex technical report
Status
active
Retrieved at
2026-11-07
Methodology
Vendor-reported result. Full result including public and private tests from the October 22, 2026 leaderboard, reproduced in Table 12.
Source Nace.AI Drex technical report

All specifications

Architecture

Checkpoint
nace-ai/drex-v1.5
Source: Checkpoint

Input and output

Output
A probability for each supplied answer option.
Source: Output
Input
Text or JSON
Source: Input

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking
Unknown
no source
Watermarking technique
Not known
no source

Licence and access

License
Nace AI Open RAIL-M (Modified), v1.0
Source: License
Shutdown
None announced
no source

API

API model ID
drex-v1.5
Source: API model ID

Further details

Local context window
16,384 tokens by default, configurable up to 131,072 tokens.
Source: Local context window
API input limit
Up to 131,072 tokens of shared context and 139,264 tokens per question including context.
Source: API input limit

Prices

Input price
$0.05 per 1M input tokensSource
Billing
Nace.AI bills input tokens only.Source

Sources and data date

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

No active result from the reviewed external evaluators can currently be attributed to this model. Other source evidence remains available below.

Without vendor claims and historical or disputed results; those stay labelled in the single values.

TypeEvidence and data date
Research statusResearch date November 7, 2026. 1 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Additional sourceNace.AI API model catalog (retrieved November 7, 2026) · Nace.AI API model catalog · Editorial description reviewed November 7, 2026
Additional sourceDrex v1.5 model card (retrieved November 7, 2026) · Drex v1.5 model card · Editorial description reviewed November 7, 2026
Additional sourceNace.AI Drex technical report (retrieved November 7, 2026)