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Meta · Open weights

Llama 3.05 Storybreaker Ministral 70b

Added Jan 1, 2024Open weights

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Use in the app

Much more inclined to output adult content than its predecessor. Great choice for novelty roleplay scenarios.

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
16.4K
Max output
8.2K
Average output (7 days)
63 tokens
Longer than 6% of 465 models

Side by side

Llama 3.05 Storybreaker Ministral 70b compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Llama 3.05 Storybreaker Ministral 70bMetaThis modelMuse Spark 1.3MetaRemove
ProviderMetaMeta
Discovery tierOpen weightsFrontier
AddedJan 1, 2024Sep 2, 2026
Limits
Context window16.38K1.05MBest
Max output8.19K—
Average output63 tokens1.2K tokens
Pricing, USD per 1M tokens
Input$0.49Best$1.25
Output$0.49Best$4.25
Cache read—$0.15
Performance
Throughput—323.3 tok/s
Time to first token—8.8 s
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index—48.1
Coding Index—75.8
Capabilities
ReasoningNoYes
ToolsNoYes
VisionNoYes
Structured outputNoYes
PDF inputNoYes
Audio inputNoYes
Video inputNoYes
Reasoning effort—minimal, low, medium, high, xhigh

Public evaluations

Benchmarks

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

  • Llama 3.05 Storybreaker Ministral 70b
  • Muse Spark 1.3

Intelligence Index

  • Llama 3.05 Storybreaker Ministral 70b—
  • Muse Spark 1.348.1
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 75.8

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 57.9%
  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 29.8%
  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 8.9%
  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 1,581 Elo
  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 1,681 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 26.6%
  • AA-LCRv1.1

    Reasoning across long documents

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 83.0%
  • MLCR-AA

    Long-context reasoning over medical records

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 13.9%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 48.7%
  • GPQA Diamond

    Graduate-level science questions

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 93.5%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 33.3%
  • SciCode

    Scientific computing in Python

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 58.8%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Llama 3.05 Storybreaker Ministral 70b: —
    • Muse Spark 1.3: 83.0%

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.

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": "Envoid/Llama-3.05-NT-Storybreaker-Ministral-70B",
    "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="Envoid/Llama-3.05-NT-Storybreaker-Ministral-70B",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Meta

Other Meta models, starting with the same family.