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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: essentialai_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
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...
rnj-1-instruct is a Text model from Essentialai (US). HotON.ai tracks it at $0.15 per 1M input tokens and $0.15 per 1M output tokens, with a 33K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
rnj-1-instruct is tracked at $0.15 per 1M input tokens and $0.15 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.15 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
rnj-1-instruct supports up to a 33K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, rnj-1-instruct is cheaper than 70% of models on input price and ranks #172 of 537 by overall efficiency.
Yes — qwen3-235b-a22b-2507 is a lower-cost option at $0.10 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — rnj-1-instruct (Essentialai): $0.15/1M input, $0.15/1M output, as of 2026-05-11. https://hoton.ai/en/models/essentialai-rnj-1-instructPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.