by EssentialAI
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).
Models with similar or better quality but different tradeoffs
Compare performance with other models from the same creator
How this model performs across different benchmarks
Compare cost efficiency across all models
Performance trends across all benchmark runs
Number of benchmark runs over time
Get started with this model using OpenRouter