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Favicon for nace-ai

Nace.AI: Drex Max

nace-ai/drex-max

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Drex Max is the largest decision model from Nace.AI, the successor to Drex v2.0Opens in new tab. Given a state (text, JSON, or up to four images) 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 and suits routing, classification, and policy checks that need a scored answer instead of prose.

Modalities
In / out price
50% off
$0.06 / $0per 1M
Context
262K
Released
Oct 21, 2026
Compare
PlaygroundProvidersPricingPerformanceUptimeAppsActivityDocumentationFAQExplore

Playground

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. It runs on the OpenRouter Decisions API rather than the OpenAI-compatible chat endpoint, so the request and response shapes below are specific to structured decisions — chat completions SDKs will not work with it.

Not currently available through EU in-region routing. In-region routing docs

Documentation

Guides, cookbooks, blog posts, and tools for building with Nace.AI: Drex Max on OpenRouter.

  • Decisions LabLab

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When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

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Frequently asked questions

Drex Max is the largest decision model from Nace.AI, the successor to Drex v2.0. Given a state (text, JSON, or up to four images) 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.

The Drex Max documentation on OpenRouter includes the interactive Decisions Lab. The quickstart covers API keys and your first request, and the API reference lists every parameter.

Drex Max costs $0.06/M input tokens and $0.00/M output tokens, with separate rates for Cache Read at $0.06/M tokens.

Drex Max has a 262,144 token context window.

Drex Max accepts text and images as input and returns structured decisions.

Drex v2.0 and Drex v1.5 are other text models from Nace.AI.

Drex Max was released on October 21, 2026.

More models from Nace.AI

Drex v2.0

Drex v2.0 is a 35B mixture-of-experts decision model (3B active) from Nace.AI, the larger successor to Drex v1.5. 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 and suits routing, classification, and policy checks that need a scored answer instead of prose.

Decisions$0.06 / $0
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 forward pass, with no text generation. It is TypeSafe System One compatible and suits routing, classification, and policy checks that need a scored answer instead of prose.

Open weights and runtime: https://github.com/nace-ai/drex-decision-models

Decisions$0.04 / $0