by essentialai
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).
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| Recency2026-03-03T20:26:14.954Z | 100 | 15% | +15.0 |
| Capabilities2026-03-03T20:26:14.954Z | 43 | 25% | +10.7 |
| Context Window2026-03-03T20:26:14.954Z | 72 | 15% | +10.7 |
| Versatility2026-03-03T20:26:14.954Z | 33 | 10% | +3.3 |
| Output Capacity2026-03-03T20:26:14.954Z | 20 | 10% | +2.0 |
| Pricing Tier2026-03-03T20:26:14.954Z | 0 | 25% | +0.0 |
Cost Estimator
You save $39.29/month vs category average