EssentialAI: Rnj 1 Instruct

essentialai/rnj-1-instruct

Created Dec 7, 202532,768 context

$0.15/M input tokens$0.15/M output tokens

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).

EssentialAI: Rnj 1 Instruct

essentialai/rnj-1-instruct

Created Dec 7, 202532,768 context

$0.15/M input tokens$0.15/M output tokens

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).

Sample code and API for Rnj 1 Instruct

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OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

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Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.