Mistral · Open weights
The Drummer Cydonia 24B v4.3
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.
| The Drummer Cydonia 24B v4.3MistralThis model | Mistral Small 3 24B (2501)MistralRemove | |
|---|---|---|
| Provider | Mistral | Mistral |
| Discovery tier | Open weights | Open weights |
| Added | Dec 25, 2025 | Sep 10, 2026 |
| Limits | ||
| Context window | 131.07KBest | 32.77K |
| Max output | — | 8.19K |
| Average output | 231 tokens | 403 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.12 | $0.12Best |
| Output | $0.15Best | $0.35 |
| Performance | ||
| Throughput | 26.5 tok/s | — |
| Time to first token | 2.1 s | — |
| Request success (24h) | 63.9% | — |
| Benchmark indexes | ||
| Intelligence Index | — | 6.7 |
| Math Index | — | 4.3 |
| Capabilities | ||
| Tools | No | Yes |
| 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
- Mistral Small 3 24B (2501)
Intelligence Index
- The Drummer Cydonia 24B v4.3—
- Mistral Small 3 24B (2501)6.7
Indexes
Math Index
Composite of the math evaluations
- The Drummer Cydonia 24B v4.3: —
- Mistral Small 3 24B (2501): 4.3
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- The Drummer Cydonia 24B v4.3: —
- Mistral Small 3 24B (2501): 0.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- The Drummer Cydonia 24B v4.3: —
- Mistral Small 3 24B (2501): 3.8%
GPQA Diamond
Graduate-level science questions
- The Drummer Cydonia 24B v4.3: —
- Mistral Small 3 24B (2501): 46.2%
MMLU-Pro
Multi-subject knowledge and reasoning
- The Drummer Cydonia 24B v4.3: —
- Mistral Small 3 24B (2501): 65.2%
IFBench
Following precise output instructions
- The Drummer Cydonia 24B v4.3: —
- Mistral Small 3 24B (2501): 26.4%
Coding
LiveCodeBench
Recent competitive programming problems
- The Drummer Cydonia 24B v4.3: —
- Mistral Small 3 24B (2501): 25.2%
Math
AIME 2025
Competition mathematics, 2025 problems
- The Drummer Cydonia 24B v4.3: —
- Mistral Small 3 24B (2501): 4.3%
AIME
Competition mathematics
- The Drummer Cydonia 24B v4.3: —
- Mistral Small 3 24B (2501): 8.0%
MATH-500
Competition math problems
- The Drummer Cydonia 24B v4.3: —
- Mistral Small 3 24B (2501): 71.5%
Legacy evaluations
τ²-Bench Telecom
Tool use in a customer-support simulation
- The Drummer Cydonia 24B v4.3: —
- Mistral Small 3 24B (2501): 19.6%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- The Drummer Cydonia 24B v4.3: —
- 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.
- 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.
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
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