Essential AI: Rnj 1 Instruct

Public pricingIntelligence 79/100Medium memoryटूल उपयोग

EssentialAI: Rnj 1 Instruct एक टेक्स्ट मॉडल है, जिसे तर्क और समस्या समाधान के लिए बनाया गया है। यह गहरी तर्कशक्ति और योजना, 33K tokens का context और कम लागत profile जोड़कर reasoning, analysis, and hard problem solving में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.15/1M

Output

$0.15/1M

Cached

$0.01/1M

Batch

$0.07/1M

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Technical specifications

Rnj 1 Instruct at a glance.

Memory

32,768

tokens

Max reply

16,384

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Dec 2025

Training cutoff

Aug 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Rnj 1 Instruct

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Rnj 1 Instruct — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Rnj 1 Instruct costs roughly $17 per month. Input is $0.15 /1M tokens and output is $0.15 /1M tokens.
Rnj 1 Instruct has a 32,768-token context window (medium memory — a long report or a codebase file). That means you can fit about 6,144 words of input and history in a single call.
Beyond text generation, Rnj 1 Instruct supports calling functions / tools, strict JSON output. It streams replies by default.
Rnj 1 Instruct was released in December 2025, with training data cut off around August 2025.
Models in a similar class include Command R (08-2024), DeepSeek V3.1, Llama 4 Maverick. The "Similar models" section below this FAQ links into each.

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