OtherDec 7, 2025
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
tokens
Max Output
—
tokens
Released
Dec 7, 2025
Arena Rank
—
Capabilities
👁Vision
🧠Reasoning
🔧Tool Calling
⚡Prompt Caching
🖥Computer Use
🎨Image Generation
Supported Parameters
Frequency Penalty
Reduce repetition
Logit Bias
Adjust token weights
Max Tokens
Output length limit
min_p
Presence Penalty
Encourage new topics
Repetition Penalty
Penalize repeated tokens
Response Format
JSON mode / structured output
Stop Sequences
Custom stop tokens
structured_outputs
Temperature
Controls randomness
Top K
Top-K sampling
Top P
Nucleus sampling
Pricing Comparison
| Router | Input / 1M | Output / 1M | Cached Input / 1M |
|---|---|---|---|
| OpenRouter | $0.15 | $0.15 | — |
Model IDs
OpenRouter
essentialai/rnj-1-instructHugging FaceEssentialAI/rnj-1-instruct ↗
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