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Mistral · Open weights

The Drummer Cydonia 24B v4.3

Added Dec 25, 2025Open weights

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Use in the app

Cydonia 24B v4.3 continues TheDrummer's Cydonia series with updated tuning on Mistral Small and a 128K context window.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.12
Output
$0.15

Reference prices as published by the model provider. API example

Specifications

Context window
131.1K
Max output
—
Average output (7 days)
231 tokens
Longer than 25% of 465 models

Side by side

The Drummer Cydonia 24B v4.3 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 v4.3MistralThis modelGLM 4.5 AirZ.aiRemove
ProviderMistralZ.ai
Discovery tierOpen weightsOpen weights
AddedDec 25, 2025Apr 15, 2025
Limits
Context window131.07KBest128K
Max output—98.3K
Average output231 tokens59 tokens
Pricing, USD per 1M tokens
Input$0.12Best$0.13
Output$0.15Best$0.85
Cache read—$0.025
Performance
Throughput26.5 tok/s89.9 tok/sBest
Time to first token2.1 s1.6 sBest
Request success (24h)63.9%100.0%Best
Benchmark indexes
Intelligence Index—11.1
Math Index—80.7
Capabilities
ToolsNoYes
Structured outputNoYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • The Drummer Cydonia 24B v4.3
  • GLM 4.5 Air

Intelligence Index

  • The Drummer Cydonia 24B v4.3—
  • GLM 4.5 Air11.1
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • The Drummer Cydonia 24B v4.3: —
    • GLM 4.5 Air: 80.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • The Drummer Cydonia 24B v4.3: —
    • GLM 4.5 Air: 46.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • The Drummer Cydonia 24B v4.3: —
    • GLM 4.5 Air: 7.0%

  • GPQA Diamond

    Graduate-level science questions

    • The Drummer Cydonia 24B v4.3: —
    • GLM 4.5 Air: 73.3%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • The Drummer Cydonia 24B v4.3: —
    • GLM 4.5 Air: 81.5%

  • IFBench

    Following precise output instructions

    • The Drummer Cydonia 24B v4.3: —
    • GLM 4.5 Air: 37.6%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • The Drummer Cydonia 24B v4.3: —
    • GLM 4.5 Air: 68.4%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • The Drummer Cydonia 24B v4.3: —
    • GLM 4.5 Air: 80.7%

  • AIME

    Competition mathematics

    • The Drummer Cydonia 24B v4.3: —
    • GLM 4.5 Air: 67.3%

  • MATH-500

    Competition math problems

    • The Drummer Cydonia 24B v4.3: —
    • GLM 4.5 Air: 96.5%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • The Drummer Cydonia 24B v4.3: —
    • GLM 4.5 Air: 20.5%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • The Drummer Cydonia 24B v4.3: —
    • GLM 4.5 Air: 46.5%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • The Drummer Cydonia 24B v4.3: —
    • GLM 4.5 Air: 46.7%

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.

Throughput
26.5 tok/s
Faster than 17% of 250 models
Time to first token
2.1 s
Quicker than 76% of 250 models
Prompt cache hits
0.7%
Request success (24h)
63.9%

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

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-v4.3",
    "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-v4.3",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Mistral

Other Mistral models, starting with the same family.