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 – Recent Activity and Usage Stats
Recent activity on Rnj 1 Instruct
Total usage per day on OpenRouter
Prompt
20K
Completion
7K
Reasoning
0
Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.