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Mistral · Open weights

Omega Directive 24B Unslop v2.0

Added Dec 8, 2025Open weights

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Use in the app

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.

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Omega Directive 24B Unslop v2.0MistralThis modelGLM 4.6 OriginalZ.aiRemove
ProviderMistralZ.ai
Discovery tierOpen weightsOpen weights
AddedDec 8, 2025Dec 11, 2025
Limits
Context window32.77K256KBest
Max output—65.54K
Average output1.3K tokens1.3K tokens
Pricing, USD per 1M tokens
Input$0.50$0.50
Output$0.50Best$2.00
Cache read—$0.10
Performance
Request success (24h)—99.4%
Benchmark indexes
Intelligence Index—14.9
Math Index—44.3
Capabilities
ReasoningNoYes
ToolsNoYes
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
  • GLM 4.6 Original

Intelligence Index

  • Omega Directive 24B Unslop v2.0—
  • GLM 4.6 Original14.9
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Omega Directive 24B Unslop v2.0: —
    • GLM 4.6 Original: 44.3

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Omega Directive 24B Unslop v2.0: —
    • GLM 4.6 Original: 26.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Omega Directive 24B Unslop v2.0: —
    • GLM 4.6 Original: 5.5%
  • GPQA Diamond

    Graduate-level science questions

    • Omega Directive 24B Unslop v2.0: —
    • GLM 4.6 Original: 63.2%
  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Omega Directive 24B Unslop v2.0: —
    • GLM 4.6 Original: 78.4%
  • IFBench

    Following precise output instructions

    • Omega Directive 24B Unslop v2.0: —
    • GLM 4.6 Original: 36.7%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Omega Directive 24B Unslop v2.0: —
    • GLM 4.6 Original: 56.1%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Omega Directive 24B Unslop v2.0: —
    • GLM 4.6 Original: 44.3%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Omega Directive 24B Unslop v2.0: —
    • GLM 4.6 Original: 28.8%
  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Omega Directive 24B Unslop v2.0: —
    • GLM 4.6 Original: 76.9%
  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Omega Directive 24B Unslop v2.0: —
    • GLM 4.6 Original: 26.3%

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.

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": "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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