Rnj 1 Instruct

Other chatreasoningtool_use

API ID: essentialai/rnj-1-instruct

Input Price
$0.15
/1M tokens
Output Price
$0.15
/1M tokens

About 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).

๐Ÿ’ฐ
Price Ranking
#667 lowest price among 1240 Chat models

Model Specifications

Context Length
33k
Max Output
โ€”
Release Date
2025-12-07
Capabilities
chat reasoning tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.11
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$3.60
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$5.17
/month
500 analyses/day, ~2k tokens each

Other Model Lineup

Compare all models from Other to find the best fit

Model Input Output Context Capabilities
Rnj 1 Instruct Current Free Free 33k chat reasoning tool_use
Riverflow V2 Max Preview Free Free 8k chat vision image_gen
Riverflow V2 Standard Preview Free Free 8k chat vision image_gen
Riverflow V2 Fast Preview Free Free 8k chat vision image_gen
AFM 4.5B Free Free 66k chat
AFM 4.5B Free Free 66k chat

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Output: $0.20
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Input: $0.11
Output: $0.19
Context: 3k
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Input: $0.15
Output: $0.15
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Amazon Nova Lite 1.0
Input: $0.06
Output: $0.24
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๐Ÿš€ Quick Start

Get started with Rnj 1 Instruct API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="essentialai/rnj-1-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)