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Data

Data as of October 20, 2026 · How the score is built

CurrentOpen WeightUnspecified

Released Sep 28, 2026131K contextDrex models

Drex v1.5

Decision readingDrex v1.5 is tracked, but not publicly ranked yet. The profile exposes 6 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Released Sep 28, 2026 — see all recent releases

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

Unranked

field median 49.8Not eligible for a public rank

Price

$0.050input / $0 output

input median $0.72blended $0.025

Speed

Not measured

field median 93.5 tok/sTime to first token not measured

Context

131Ktokens

field median 256,000Maximum output length is tracked separately

Strongest published evidence

Published rows are visible, but no category has enough eligible evidence for a comparative rank.

Validate before choosing

6 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.

Source-linked · 6 displayable benchmark rows

Benchmark ledger

External signals opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

External signals6 rows
External signals benchmark values, best verified comparison, weight, and source status
Decision Index Full ScoreDecision Index 0.4Score45.4 pointsVersus best verified row

Best verified: Perplexity Decider v1.2 27B · 69.4 points

Gap24 behindWeightDisplay only
Decision Index KnowledgeDecision Index 0.4 KnowledgeScore31.2 pointsVersus best verified row

Best verified: Quyet-1.0-Large · 47.0 points

Gap15.8 behindWeightDisplay only
Decision Index LanguageDecision Index 0.4 LanguageScore40.8 pointsVersus best verified row

Best verified: Perplexity Decider v1.2 27B · 65.5 points

Gap24.7 behindWeightDisplay only
Decision Index RetrievalDecision Index 0.4 RetrievalScore59.2 pointsVersus best verified row

Best verified: Perplexity Decider v1.2 27B · 69.4 points

Gap10.2 behindWeightDisplay only
Decision Index ToolsDecision Index 0.4 ToolsScore71.2 pointsVersus best verified row

Best verified: Perplexity Decider v1.2 27B · 82.4 points

Gap11.2 behindWeightDisplay only
Decision Index ArtsDecision Index 0.4 ArtsScore50.1 pointsVersus best verified row

Best verified: Perplexity Decider v1.2 27B · 56.4 points

Gap6.3 behindWeightDisplay only

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Sep 28, 2026 · you are here

    Drex v1.5

    Not publicly ranked · $0.05 / $0

Decision-system

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
drex-v1.5Drex pricing
Context window
131KDrex pricing
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not sourced yet
Availability
Hosted Nace.AI API (POST /v1/systemone) and open weights on Hugging Face under the Nace.AI Open RAIL-M license. Text or JSON input.
Cloud regions
Not tracked yet
Lifecycle
Current
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordDrex pricing
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Drex v1.5, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

Drex v1.5 is a open weight model with a 131K context window. No explicit reasoning mode is documented in this profile.

Hosted Nace.AI API (POST /v1/systemone) and open weights on Hugging Face under the Nace.AI Open RAIL-M license. Text or JSON input.

Nace.AI released Drex 1.5 on September 28, 2026, a 9B decision model on a Qwen3.5 backbone with a pointer head. The API state limit is 131,072 tokens and the row limit 139,264. Requests for the retired drex-v1.1 are answered by drex-v1.5. Decision Index board and Vals ClaimBench results stay display-only; Nace-run model-card scores are not copied into board fields.

6 of 726 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Last updated October 20, 2026. Runtime fields remain blank until a sourced snapshot exists.

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.

Estimate VRAM from known parameters

Questions

How does Drex v1.5 perform overall in AI benchmarks?

Drex v1.5 has 6 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is Drex v1.5 open source?

Drex v1.5 is an open-weight model from Nace.AI. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

Does Drex v1.5 have full benchmark coverage on BenchLM?

No. Drex v1.5 currently has 6 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Drex v1.5?

Drex v1.5 has a documented context window of 131K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

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Compare Drex v1.5 with every tracked model971 comparisons