Essentialaitext->text

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

33K

Input Price

$0.1500/M tokens

Output Price

$0.1500/M tokens

Modality

text->text

Pricing Breakdown

Cost per million tokens for input and output

Input$0.1500/M tokens

Output$0.1500/M tokens

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.001650

Context Window Size

Maximum tokens the model can process in a single request

Context Window33K tokens

3% of 1M max

~25K

Words Equivalent

~16

Pages of Text

~328

Code Functions

Best Use Cases

What this model excels at

CodingProgrammingDevelopmentMathReasoningAnalysisResearchAcademic

Related Categories:

Data Analysis

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