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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).

Providers for Rnj 1 Instruct

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Rnj 1 Instruct

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Apps using Rnj 1 Instruct

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Recent activity on Rnj 1 Instruct

Total usage per day on OpenRouter

Prompt
79K
Completion
14K
Reasoning
0

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Rnj 1 Instruct

Uptime stats for Rnj 1 Instruct across all providers

Sample code and API for Rnj 1 Instruct

OpenRouter normalizes requests and responses across providers for you.

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.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

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

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.