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#399

Drex v1.5

Nace AI Release: 2026-10-12 Tested on: 2026-10-12 12:39 nace-ai/drex-v1.5::none
8.95BDenseWeights available

Summary

Drex v1.5 scores 2.4 on AI BENCHY and ranks #399. It has 10.0 reliability, a 17.4% pass rate, $0.002 total cost, and 986ms average response time.

What makes Drex v1.5 unique: It stands out most in Coding, where it ranks #2, while Puzzle Solving is its weakest area at #9.

Model facts

Researched on 2026-10-12

Reported
Parameters
8.95B
Architecture
Dense
Availability
Weights available
License
Nace.AI Open RAIL-M

The official model card reports about 9B (8.95B) parameters with a Qwen3.5 dense backbone, post-trained from XiaomiMiMo/MiMo-V2.6-Distill-Qwen-9B, and a pointer head. Exact checkpoint weights, the head and inference code are publicly downloadable without gating. Weights use the custom Nace.AI Open RAIL-M license; bundled Kev code is Apache-2.0. Scores predefined options without sampling output tokens. The OpenRouter DeepInfra route declares no reasoning effort controls.

Score

2.4

Consistency

5.2

Total Output Tokens

27,468

Total Input Tokens

42,804

Input Price

$0.040 / 1M

Output Price

$0.000 / 1M

Cache Read Price

N/A

Cache Write Price

N/A

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Tests Correct

Wrong Tests: 8

Attempt pass rate: 17.4%

Benchmark coverage: 36/69 attempts. Choices supplied by adapters. Supports 12/23 tests. Other tests are unsupported, not failed. Score uses the full suite.

Flaky tests

0

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

986ms

Response Time (max): 1.38s

Response Time (total): 11.84s

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Agentic 0.0 0.0
Anti-AI Tricks 4.0 7.5
Coding 4.5 6.7
Combined 0.0 0.0
Data parsing and extraction 6.5 10.0
Domain specific 5.3 10.0
General Intelligence 0.0 0.0
Instructions following 1.5 5.0
Puzzle Solving 1.0 3.3
Tool Calling 0.0 0.0
Trivia 0.0 0.0

Compared models