Relace Apply 3
vs
Cydonia 24B V4.1

Compare performance metrics, pricing, and capabilities of these AI models.

Key Differences
Context Length
Better
Relace Apply 3: 256K (advantage)
Cydonia 24B V4.1: 131K (disadvantage)
Cost Efficiency
Higher Cost
Prompt: $0.85M vs $0.15M
Completion: $1.25M vs $0.50M

Capabilities

Relace Apply 3
Modality: text->text
Inputs: text
Cydonia 24B V4.1
Modality: text->text
Inputs: text
R
Relace Apply 3
relace/relace-apply-3

Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Cl...

Context Length256K
Prompt Price$0.85M
ReleasedSeptember 26, 2025
Supports:
text->text
T
Cydonia 24B V4.1
thedrummer/cydonia-24b-v4.1

Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence....

Context Length131K
Prompt Price$0.15M
ReleasedSeptember 27, 2025
Supports:
text->text
Detailed Comparison
Feature
Relace Apply 3
Cydonia 24B V4.1
Context Length256K131K
Prompt Price$0.85M$0.15M
Completion Price$1.25M$0.50M
Modalitytext->texttext->text
Release DateSeptember 26, 2025September 27, 2025
Analysis & Recommendations

Quick Summary

This comparison reveals key trade-offs between Relace Apply 3 and Cydonia 24B V4.1. Relace Apply 3 offers a larger context window of 256K compared to Cydonia 24B V4.1's 131K, though Relace Apply 3 comes at a higher cost.

Relace Apply 3 Strengths

  • Larger context window (256K) for processing longer documents
  • Premium pricing for high-quality output
  • Specialized for text tasks
  • Proven and stable model

Cydonia 24B V4.1 Strengths

  • Competitive context size (131K)
  • More cost-effective per token
  • Specialized for text tasks
  • Latest generation model

When to Use Each Model

Choose Relace Apply 3 when:
  • • You need the larger context window for complex tasks
  • • Cost efficiency is not the primary concern in your use case
  • • Working with text-based tasks that benefit from deep analysis
Choose Cydonia 24B V4.1 when:
  • • You need competitive context capability for long-form content
  • • Cost efficiency is important for your budget
  • • Working with text-based tasks that require advanced processing
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