EssentialAI: Rnj 1 Instruct

Text input Text output
Author's Description

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).

Key Specifications
Cost
$$
Context
32K
Parameters
8B (Rumoured)
Released
Dec 07, 2025
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Stop Max Tokens Temperature Min P Top P Response Format Frequency Penalty Presence Penalty Structured Outputs Logit Bias
Features

This model supports the following features:

Response Format Structured Outputs
Performance Summary

EssentialAI: Rnj 1 Instruct, an 8B-parameter open-weight model, demonstrates exceptional performance across several key metrics. It consistently ranks among the fastest models available, offering unparalleled speed. Furthermore, its pricing is highly competitive, positioning it as a cost-effective solution. The model exhibits outstanding reliability, achieving a 100% success rate in benchmarks, indicating minimal technical failures and consistent provision of usable responses. Developed with a focus on programming, math, and scientific reasoning, Rnj-1 shows strong capabilities in these domains, including multiple programming languages, tool-use workflows, and agentic execution environments. A notable weakness, however, is its performance on the "Hallucinations (Baseline)" benchmark, where it achieved 0.0% accuracy. This suggests the model struggles to appropriately acknowledge uncertainty and correctly identify fictional concepts, indicating a propensity to generate information rather than admit a lack of knowledge. Despite this, its high speed, competitive pricing, and robust reliability make it a compelling option for applications where these factors are paramount, particularly in its specialized areas of programming and scientific tasks.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.15
Completion $0.15

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Together
Together | essentialai/rnj-1-instruct 32K $0.15 / 1M tokens $0.15 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration