Essential AI: Rnj 1 Instruct

Public pricingIntelligence 79/100Medium memoryاستخدام الأدوات

EssentialAI: Rnj 1 Instruct هو نموذج نصي مخصص لـالاستدلال وحل المشكلات. يجمع بين استدلال وتخطيط عميقان وسياق بحجم 33K tokens وملف منخفض التكلفة لتقديم عمل موثوق في reasoning, analysis, and hard problem solving. وهو خيار عملي عندما تكون الجودة والسرعة والتكلفة مهمة، خصوصًا للفرق التي تحتاج إلى مخرجات ثابتة ونشر مرن ومساحة للتوسع.

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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