Cydonia 24B V4.1
VerifiedClosed-weight 24B LLM built for extended text context handling.
About Cydonia 24B V4.1
Cydonia 24B V4.1 uses a transformer design scaled to 24 billion parameters and tuned across multiple iterations for stable performance. Its closed-weight release keeps the parameters under developer control while allowing API-style access. The 131072-token context enables processing of lengthy documents without truncation.
Strengths center on maintaining consistency across extended inputs and delivering coherent multi-turn responses. The architecture prioritizes instruction adherence and factual grounding within its supported modality. Typical usage includes document summarization, creative writing assistance, and detailed analytical workflows that benefit from large context retention.
Capabilities
How Cydonia 24B V4.1 compares
Cydonia 24B V4.1 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Cydonia 24B V4.1 ranks #24 of 66
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-context document processing
The 131072-token context window enables analysis of full-length reports, code repositories, or books without chunking.
Multi-turn technical discussions
A 24B parameter LLM maintains coherent reasoning across extended conversations on complex topics like engineering or research.
Detailed creative writing projects
Handles sustained narrative consistency and world-building over very long outputs thanks to its context capacity.
Strengths & limitations
Strengths
- +Handles extended input sequences effectively
- +Suitable size for local or efficient deployment
- +Focused text-only processing
Limitations
- –No vision or multimodal support
- –Performance may lag behind much larger models on complex tasks
- –Typical LLM risks of hallucination and factual inconsistency
Cost calculator
Estimate what Cydonia 24B V4.1 would cost for your usage.
Based on Cydonia 24B V4.1's $0.30/1M input · $0.50/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "thedrummer/cydonia-24b-v4.1",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: thedrummer/cydonia-24b-v4.1
Editor's verdict
Cydonia 24B V4.1 is Thedrummer's proprietary language models with a 131K-token context window.
At $0.50 per 1M output tokens, it is very cost-efficient for its class.
It is available through Thedrummer's API and aggregators like OpenRouter.
Best suited to handles extended input sequences effectively and suitable size for local or efficient deployment.
Frequently asked questions
The model supports a context window of 131072 tokens.
User reviews
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