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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).
Price/1M
$0.15
258th cheapest
52% below median
Top 40%
Context Window
33K
291st largest
Top 91%
Input
$0.15
per 1M tokens
Output
$0.15
per 1M tokens
Blended
$0.15
per 1M tokens
Cheaper than 60% of models. Median price is $0.31/1M tokens.
Daily
$0.15
Monthly
$4.50
Context Window
33K
tokens
Larger than 9% of models
Context Window Comparison