TheDrummer: Cydonia 24B V4.1

Public pricingIntelligence 79/100Medium memory

TheDrummer: Cydonia 24B V4.1 एक टेक्स्ट मॉडल है, जिसे सामान्य चैट, विश्लेषण और production use के लिए बनाया गया है। यह स्थिर general-purpose प्रदर्शन, 131K tokens का context और कम लागत profile जोड़कर general chat, analysis, and production workloads में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.30/1M

Output

$0.50/1M

Cached

$0.15/1M

Batch

$0.15/1M

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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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