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).
Try NowProgramming or math reasoning
Agentic coding workflow
Scientific reasoning on a budget
32,768 tokens
32,768 tokens
$0.15 per 1M tokens
$0.15 per 1M tokens
$15 per 1K calls
$0.19 per 1K calls