TheDrummer: Cydonia 24B V4.1

Public pricingIntelligence 79/100Medium memory

TheDrummer: Cydonia 24B V4.1 est un modèle texte conçu pour conversation générale, analyse et usage en production. Il associe des performances générales stables, un contexte de 131K tokens et un profil à faible coût pour un travail fiable sur general chat, analysis, and production workloads.

Input

$0.30/1M

Output

$0.50/1M

Cached

$0.15/1M

Batch

$0.15/1M

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What would Cydonia 24B V4.1 cost you?

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Technical specifications

Cydonia 24B V4.1 at a glance.

Memory

131,072

tokens

Max reply

131,072

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Sep 2025

Training cutoff

Oct 2024

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 Cydonia 24B V4.1

  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

Cydonia 24B V4.1 — 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, Cydonia 24B V4.1 costs roughly $43 per month. Input is $0.30 /1M tokens and output is $0.50 /1M tokens.
Cydonia 24B V4.1 has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Cydonia 24B V4.1 was released in September 2025, with training data cut off around October 2024.
Models in a similar class include UnslopNemo 12B, Rocinante 12B, Skyfall 36B V2. The "Similar models" section below this FAQ links into each.

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