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The Drummer Cydonia 24B v4.1

Added Aug 19, 2025Open weights

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Use in the app

Cydonia 24B v4.1 is the newest release of TheDrummer's Cydonia series, featuring improved performance and refined capabilities.

  • Tools
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.30
Output
$0.50
Cache read
$0.15

Reference prices as published by the model provider. API example

Specifications

Context window
131.1K
Max output
—
Average output (7 days)
307 tokens
Longer than 32% of 468 models

Side by side

The Drummer Cydonia 24B v4.1 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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The Drummer Cydonia 24B v4.1MistralThis modelMistral Small 3 24B (2501)MistralRemove
ProviderMistralMistral
Discovery tierOpen weightsOpen weights
AddedAug 19, 2025Sep 10, 2026
Limits
Context window131.07KBest32.77K
Max output—8.19K
Average output307 tokens403 tokens
Pricing, USD per 1M tokens
Input$0.30$0.12Best
Output$0.50$0.35Best
Cache read$0.15—
Performance
Request success (24h)88.9%—
Benchmark indexes
Intelligence Index—6.7
Math Index—4.3
Capabilities
ToolsYesYes
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • The Drummer Cydonia 24B v4.1
  • Mistral Small 3 24B (2501)

Intelligence Index

  • The Drummer Cydonia 24B v4.1—
  • Mistral Small 3 24B (2501)6.7
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • The Drummer Cydonia 24B v4.1: —
    • Mistral Small 3 24B (2501): 4.3

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • The Drummer Cydonia 24B v4.1: —
    • Mistral Small 3 24B (2501): 0.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • The Drummer Cydonia 24B v4.1: —
    • Mistral Small 3 24B (2501): 3.8%

  • GPQA Diamond

    Graduate-level science questions

    • The Drummer Cydonia 24B v4.1: —
    • Mistral Small 3 24B (2501): 46.2%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • The Drummer Cydonia 24B v4.1: —
    • Mistral Small 3 24B (2501): 65.2%

  • IFBench

    Following precise output instructions

    • The Drummer Cydonia 24B v4.1: —
    • Mistral Small 3 24B (2501): 26.4%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • The Drummer Cydonia 24B v4.1: —
    • Mistral Small 3 24B (2501): 25.2%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • The Drummer Cydonia 24B v4.1: —
    • Mistral Small 3 24B (2501): 4.3%

  • AIME

    Competition mathematics

    • The Drummer Cydonia 24B v4.1: —
    • Mistral Small 3 24B (2501): 8.0%

  • MATH-500

    Competition math problems

    • The Drummer Cydonia 24B v4.1: —
    • Mistral Small 3 24B (2501): 71.5%

Legacy evaluations

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • The Drummer Cydonia 24B v4.1: —
    • Mistral Small 3 24B (2501): 19.6%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • The Drummer Cydonia 24B v4.1: —
    • Mistral Small 3 24B (2501): 0.0%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Request success (24h)
88.9%

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "TheDrummer/Cydonia-24B-v4.1",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="TheDrummer/Cydonia-24B-v4.1",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Mistral

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