EssentialAI: Rnj 1 Instruct

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).

• Context window: 32,768 tokens
• Input: text
• Output: text
• Pricing: $0.15/M input tokens, $0.15/M output tokens

View on OpenRouter. Model data sourced from OpenRouter.