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EssentialAI: Rnj 1 Instruct

essentialai/rnj-1-instruct

Model weights

Rnj-1 is an 8B-parameter, dense, open-weight model family developed by Essential AI and trained from scratch with a focus on programming, math, and scientific reasoning. The model demonstrates strong performance across multiple programming languages, tool-use workflows, and agentic execution environments (e.g., mini-SWE-agent).

Modalities

Context

33K

Released

Dec 7, 2025

ActivityFAQExplore

Activity

Token volume and request traffic to this model over time.

About EssentialAI: Rnj 1 Instruct

OpenRouter makes EssentialAI: Rnj 1 Instruct available through a unified, OpenAI-compatible API using the model ID essentialai/rnj-1-instruct.

EssentialAI: Rnj 1 Instruct accepts text and returns text. It has a 32,768-token context window.

It was released on December 7, 2025.

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Frequently asked questions

Rnj-1 is an 8B-parameter, dense, open-weight model family developed by Essential AI and trained from scratch with a focus on programming, math, and scientific reasoning. The model demonstrates strong performance across multiple programming languages, tool-use workflows, and agentic execution environments (e.g., mini-SWE-agent).

Rnj 1 Instruct has a 32,768 token context window.

Rnj 1 Instruct was released on December 7, 2025.