Capabilities
7-day heat trend
−13.0%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 88% of tracked models
- Efficiency rank: #300 of 1105
Best suited for
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
About rnj-1-instruct-4bit
MLX 4bit packaging of EssentialAI Rnj-1 Instruct is tracked for Apple Silicon local runtime prefill fields.
rnj-1-instruct-4bit is a Text model from Essential AI (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 33K-token context window, ~168 tokens/sec throughput and 96.9% availability. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
Compare rnj-1-instruct-4bit
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Frequently asked questions
How much does rnj-1-instruct-4bit cost per 1M tokens?+
rnj-1-instruct-4bit is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is rnj-1-instruct-4bit best for?+
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
How fast is rnj-1-instruct-4bit?+
rnj-1-instruct-4bit delivers about 168 tokens/sec with 96.9% tracked availability, suitable for latency-sensitive, real-time applications.
Is rnj-1-instruct-4bit cheaper than other AI models?+
Within the HotON.ai tracked set, rnj-1-instruct-4bit is cheaper than 43% of models on input price and ranks #300 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.