EssentialAI: Rnj 1 Instruct
Review
EssentialAI's Rnj 1 Instruct has no benchmark data available; while it supports tool use and function calling at a low price point, its capabilities cannot be reliably assessed for business use without performance evidence.
Assessment date: April 4, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
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..
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
How does EssentialAI: Rnj 1 Instruct stack up?
Compare side-by-side with other legacy models.
Model Information
| OpenRouter ID |
essentialai/rnj-1-instruct
|
| Provider | essentialai |
| Release Date | December 7, 2025 |
| Context Length | 32,768 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.15 | $0.000150 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
