Mistral · Open weights
MS3.2 24B Magnum Diamond
rsLoRA finetune of a text-only conversion of Mistral Small 3.2 24B Instruct (2506), built to bring the Magnum mix's Claude-like prose to a smaller footprint. The "Diamond" moniker nods to the extra heat and pressure - pre-tokenization plus custom loss masking - to turn the assistant-tuned base into creative-writing gems, with or without character names or prefill.
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.49
- Output
- $0.49
Reference prices as published by the model provider. API example
Specifications
- Context window
- 32.8K
- Max output
- —
- Average output (7 days)
- 97 tokens
- Longer than 9% of 468 models
Side by side
MS3.2 24B Magnum Diamond compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| MS3.2 24B Magnum DiamondMistralThis model | WizardLM-2 8x22BmicrosoftRemove | |
|---|---|---|
| Provider | Mistral | microsoft |
| Discovery tier | Open weights | Open weights |
| Added | Nov 24, 2025 | Apr 15, 2025 |
| Limits | ||
| Context window | 32.77K | 65.54KBest |
| Max output | — | 8.19K |
| Average output | 97 tokens | — |
| Pricing, USD per 1M tokens | ||
| Input | $0.49 | $0.49 |
| Output | $0.49 | $0.49 |
| Performance | ||
| Throughput | 17.3 tok/s | — |
| Time to first token | 19.8 s | — |
| Request success (24h) | 59.3% | — |
| Capabilities | ||
| PDF input | No | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
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
- 17.3 tok/s
- Faster than 9% of 253 models
- Time to first token
- 19.8 s
- Quicker than 1% of 253 models
- Request success (24h)
- 59.3%
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": "Doctor-Shotgun/MS3.2-24B-Magnum-Diamond",
"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="Doctor-Shotgun/MS3.2-24B-Magnum-Diamond",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Mistral
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