Atlas / Models / Essentialai / EssentialAI: Rnj 1 Instruct

EssentialAI: Rnj 1 Instruct✓ Catalog verified

essentialai/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).

Input price
$0.15 /1M
Output price
$0.15 /1M
Context
33K
Modalities
text
Released
Dec 7, 2025
Tool calling
✓ Yes
Atlas signal
80/100
01

Overview

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).

Access: available through the official Essentialai API. Context window: 33K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifieressentialai/rnj-1-instruct
ProviderEssentialai
Model typeText LLM
Context window33K catalog
Input modalitiestext
Output modalitiestext
ReleasedDec 7, 2025
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltylogit_biasmax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_p": null,
  "temperature": null,
  "frequency_penalty": null
}
03

Pricing

Live pricing components for essentialai/rnj-1-instruct as published in the catalog.

$0.15
Input /1M
$0.15
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$1.5e-7$0.15 / 1MPer input token
Completion tokens$1.5e-7$0.15 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.1Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

EssentialAI: Rnj 1 Instruct
MMLU Signal (Reasoning)
80signal
Coding Signal (HumanEval proxy)
83signal
Math Signal (GSM8K proxy)
83signal
Science Signal (GPQA proxy)
74signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call EssentialAI: Rnj 1 Instruct through an OpenAI-compatible client.

from openai import OpenAI

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

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

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does EssentialAI: Rnj 1 Instruct cost?

$0.15 per 1M input tokens and $0.15 per 1M output tokens on the official Essentialai API.

What is the context window of EssentialAI: Rnj 1 Instruct?

EssentialAI: Rnj 1 Instruct supports up to 33K tokens of context.

Does EssentialAI: Rnj 1 Instruct support tool / function calling?

Yes, EssentialAI: Rnj 1 Instruct supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access EssentialAI: Rnj 1 Instruct?

Use the official Essentialai API with the model id `essentialai/rnj-1-instruct`. See the Quick start section above for code examples.