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).
by Essentialai|33K context|$0.15/M input tokens|$0.15/M output tokens
Endpoints
Available providers for this model, with details on pricing, context limits, and real-time health metrics.
