EssentialAI: Rnj 1 Instruct

essentialai/rnj-1-instruct

33KContext Window

Supported Protocols:max_tokenstemperaturetop_pstopfrequency_penaltypresence_penaltytop_krepetition_penaltylogit_biasmin_pstructured_outputsresponse_formattoolstool_choice

Online

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).

Capabilities

🧠 Reasoning🔧 Function CallingText GenerationCode GenerationAnalysis & Reasoningmodels.reasoning

Technical Specs

Input Modality

Text

Output Modality

Text

Arch

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Pricing

Pay per use, no monthly fees

Input Token< ¥0.001/1K Token

Output Token< ¥0.001/1K Token

Quick Start

from openai import OpenAI

client = OpenAI(
    base_url="https://api.uniontoken.ai/v1",
    api_key="YOUR_UNIONTOKEN_API_KEY",
)

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

print(response.choices[0].message.content)

FAQ

EssentialAI: Rnj 1 Instruct

essentialai/rnj-1-instruct

In< ¥0.001/1K

Out< ¥0.001/1K

Context Window33K

Start Using →View Integration Docs

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