Zenspeed

Fast LLM Comparison Tool

qwen logo
Qwen3 Max
vs
Cydonia 24B V4.1

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

Key Differences
Context Length
Better
Qwen3 Max: 256K (advantage)
Cydonia 24B V4.1: 131K (disadvantage)
Cost Efficiency
Higher Cost
Prompt: $1.20M vs $0.15M
Completion: $6.00M vs $0.50M

Capabilities

Qwen3 Max
Modality: text->text
Inputs: text
Cydonia 24B V4.1
Modality: text->text
Inputs: text
Q
Qwen3 Max
qwen/qwen3-max

Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and ...

Context Length256K
Prompt Price$1.20M
ReleasedSeptember 23, 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
qwen logo
Qwen3 Max
Cydonia 24B V4.1
Context Length256K131K
Prompt Price$1.20M$0.15M
Completion Price$6.00M$0.50M
Modalitytext->texttext->text
Release DateSeptember 23, 2025September 27, 2025
Analysis & Recommendations

Quick Summary

This comparison reveals key trade-offs between Qwen3 Max and Cydonia 24B V4.1. Qwen3 Max offers a larger context window of 256K compared to Cydonia 24B V4.1's 131K, though Qwen3 Max comes at a higher cost.

Qwen3 Max 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 Qwen3 Max 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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