Context Window
32,768
Tokens
Model Cost Profile
EssentialAI: Rnj 1 Instruct
Developer: essentialai
Pricing updated Mar 11, 2026
Input rank: #115Output rank: #56
EssentialAI: Rnj 1 Instruct is designed for applications requiring extensive context, with a generous context window of 32,768 tokens, making it suitable for complex document analysis and conversational AI. Teams leveraging this API model can expect a cost-effective pricing structure at $0.15 per million tokens for both input and output, allowing for scalable usage without significant financial burden. This model is particularly beneficial for businesses needing to process large datasets or engage in detailed interactions while maintaining budget control.
🔧 Tool Calling📋 Structured Output
Input Price / 1M
$0.1500
Prompt tokens
Output Price / 1M
$0.1500
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.1500 |
| Output (Completion) | $0.1500 |
Price History
EssentialAI: Rnj 1 Instruct Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 11
Current Input / 1M
$0.1500
Current Output / 1M
$0.1500
Cost Calculator
Estimate monthly spend for EssentialAI: Rnj 1 Instruct based on your workload.
01.0B
0500M
Estimated Monthly Cost
$5.55
25M input + 12M output tokens
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FAQ
Common pricing and benchmark questions for EssentialAI: Rnj 1 Instruct.
How much does EssentialAI: Rnj 1 Instruct cost per 1M input tokens?
EssentialAI: Rnj 1 Instruct input pricing is $0.1500 per 1M tokens based on the latest synced provider data.
How much does EssentialAI: Rnj 1 Instruct cost per 1M output tokens?
EssentialAI: Rnj 1 Instruct output pricing is $0.1500 per 1M tokens based on the latest synced provider data.
What context window does EssentialAI: Rnj 1 Instruct support?
EssentialAI: Rnj 1 Instruct supports a context window of 32,768 tokens.
How can I compare EssentialAI: Rnj 1 Instruct with cheaper alternatives?
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.