Mistral · Open weights
Omega Directive 24B Unslop v2.0
ReadyArt's MS3.2 Omega Directive 24B unslopped mix tuned for rich roleplay and storytelling.
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.50
- Output
- $0.50
Reference prices as published by the model provider. API example
Specifications
- Context window
- 32.8K
- Max output
- —
- Average output (7 days)
- 1.3K tokens
- Longer than 82% of 468 models
Side by side
Omega Directive 24B Unslop v2.0 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Omega Directive 24B Unslop v2.0MistralThis model | Mistral Small 3 24B (2501)MistralRemove | |
|---|---|---|
| Provider | Mistral | Mistral |
| Discovery tier | Open weights | Open weights |
| Added | Dec 8, 2025 | Sep 10, 2026 |
| Limits | ||
| Context window | 32.77K | 32.77K |
| Max output | — | 8.19K |
| Average output | 1.3K tokens | 403 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.50 | $0.12Best |
| Output | $0.50 | $0.35Best |
| 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.
- Omega Directive 24B Unslop v2.0
- Mistral Small 3 24B (2501)
Intelligence Index
- Omega Directive 24B Unslop v2.0—
- Mistral Small 3 24B (2501)6.7
Indexes
Math Index
Composite of the math evaluations
- Omega Directive 24B Unslop v2.0: —
- Mistral Small 3 24B (2501): 4.3
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Omega Directive 24B Unslop v2.0: —
- Mistral Small 3 24B (2501): 0.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Omega Directive 24B Unslop v2.0: —
- Mistral Small 3 24B (2501): 3.8%
GPQA Diamond
Graduate-level science questions
- Omega Directive 24B Unslop v2.0: —
- Mistral Small 3 24B (2501): 46.2%
MMLU-Pro
Multi-subject knowledge and reasoning
- Omega Directive 24B Unslop v2.0: —
- Mistral Small 3 24B (2501): 65.2%
IFBench
Following precise output instructions
- Omega Directive 24B Unslop v2.0: —
- Mistral Small 3 24B (2501): 26.4%
Coding
LiveCodeBench
Recent competitive programming problems
- Omega Directive 24B Unslop v2.0: —
- Mistral Small 3 24B (2501): 25.2%
Math
AIME 2025
Competition mathematics, 2025 problems
- Omega Directive 24B Unslop v2.0: —
- Mistral Small 3 24B (2501): 4.3%
AIME
Competition mathematics
- Omega Directive 24B Unslop v2.0: —
- Mistral Small 3 24B (2501): 8.0%
MATH-500
Competition math problems
- Omega Directive 24B Unslop v2.0: —
- Mistral Small 3 24B (2501): 71.5%
Legacy evaluations
τ²-Bench Telecom
Tool use in a customer-support simulation
- Omega Directive 24B Unslop v2.0: —
- Mistral Small 3 24B (2501): 19.6%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Omega Directive 24B Unslop v2.0: —
- Mistral Small 3 24B (2501): 0.0%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
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": "ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0",
"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="ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)Mistral
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