Data as of November 5, 2026 · How the score is built
Drex Max v1.1
Decision readingDrex Max v1.1 is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Released Oct 28, 2026 — see all recent releases
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.
Decision-system
Drex MaxSpec 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-max-v1.1Drex pricing
- Context window
- 262KDrex pricing
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- Not sourced yet
- Output modalities
- Not sourced yet
- Parameters
- Not disclosed by the provider
- Availability
- Hosted Nace.AI API (POST /v1/systemone, model drex-max-v1.1) at $0.03 per million input tokens with output not billed. Nace.AI has not published v1.1 weights; the open Drex Max checkpoint is the original release.
- 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
- Weights are not published
- 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 Max v1.1, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.
Drex Max v1.1 is a proprietary model with a 262K context window. No explicit reasoning mode is documented in this profile.
Hosted Nace.AI API (POST /v1/systemone, model drex-max-v1.1) at $0.03 per million input tokens with output not billed. Nace.AI has not published v1.1 weights; the open Drex Max checkpoint is the original release.
Nace.AI released Drex Max v1.1 on October 28, 2026, a multimodal decision model that reads text and images. Unlike Drex Max, its 262,144-token limit covers the whole packed request (shared state, images and every question). Drex Max and Drex Max v1.1 are separate pinned models; drex-latest points to neither. Decision-board results stay display-only.
Drex Max v1.1 sits in the Drex Max family with Drex Max. Its explicit predecessor is Drex Max. The profile has no source-displayable benchmark row yet.
Last updated November 5, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does Drex Max v1.1 perform overall in AI benchmarks?
Drex Max v1.1 does not have any source-displayable benchmark rows yet, so this profile does not assign a public score or rank. Documented specifications remain visible, while score-led charts and claims stay unavailable until a published evaluation can be attached to the exact model.
Which sibling models are related to Drex Max v1.1?
Drex Max v1.1 belongs to the Drex Max family. Related tracked variants include Drex Max. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.
Does Drex Max v1.1 have full benchmark coverage on BenchLM?
No. Drex Max v1.1 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 Max v1.1?
Drex Max v1.1 has a documented context window of 262K. 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.