Zenspeed

Fast LLM Comparison Tool

GLM 4.6
vs
Cydonia 24B V4.1

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

Key Differences
Context Length
Better
GLM 4.6: 203K (advantage)
Cydonia 24B V4.1: 131K (disadvantage)
Cost Efficiency
Higher Cost
Prompt: $0.50M vs $0.15M
Completion: $1.75M vs $0.50M

Capabilities

GLM 4.6
Modality: text->text
Inputs: text
Cydonia 24B V4.1
Modality: text->text
Inputs: text
Z
GLM 4.6
z-ai/glm-4.6

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K ...

Context Length203K
Prompt Price$0.50M
ReleasedSeptember 30, 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
GLM 4.6
Cydonia 24B V4.1
Context Length203K131K
Prompt Price$0.50M$0.15M
Completion Price$1.75M$0.50M
Modalitytext->texttext->text
Release DateSeptember 30, 2025September 27, 2025
Analysis & Recommendations

Quick Summary

This comparison reveals key trade-offs between GLM 4.6 and Cydonia 24B V4.1. GLM 4.6 offers a larger context window of 203K compared to Cydonia 24B V4.1's 131K, though GLM 4.6 comes at a higher cost.

GLM 4.6 Strengths

  • •Larger context window (203K) for processing longer documents
  • •Premium pricing for high-quality output
  • •Specialized for text tasks
  • •Latest generation model

Cydonia 24B V4.1 Strengths

  • •Competitive context size (131K)
  • •More cost-effective per token
  • •Specialized for text tasks
  • •Proven and stable model

When to Use Each Model

Choose GLM 4.6 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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