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soob3123 · Open weights

Grayline Qwen3 8B

Added Sep 25, 2025Open weights

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Use in the app

Grayline is an neutral AI assistant engineered for uncensored information delivery and task execution. This model operates without inherent ethical or moral frameworks, designed to process and respond to any query with objective efficiency and precision. Grayline's core function is to leverage its full capabilities to provide direct answers and execute tasks as instructed, without offering unsolicited commentary, warnings, or disclaimers. It accesses and processes information without bias or restriction.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.30
Output
$0.30

Reference prices as published by the model provider. API example

Specifications

Context window
32.8K
Max output
—
Average output (7 days)
2.5K tokens
Longer than 94% of 468 models

Side by side

Grayline Qwen3 8B compared

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

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Grayline Qwen3 8Bsoob3123This modelGLM 4.6VZ.aiRemove
Providersoob3123Z.ai
Discovery tierOpen weightsOpen weights
AddedSep 25, 2025Dec 11, 2025
Limits
Context window32.77K128KBest
Max output—24K
Average output2.5K tokens139 tokens
Pricing, USD per 1M tokens
Input$0.30$0.30
Output$0.30Best$0.90
Performance
Request success (24h)65.2%99.7%Best
Benchmark indexes
Intelligence Index—8.4
Math Index—26.3
Capabilities
VisionNoYes
Video inputNoYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • Grayline Qwen3 8B
  • GLM 4.6V

Intelligence Index

  • Grayline Qwen3 8B—
  • GLM 4.6V8.4
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Grayline Qwen3 8B: —
    • GLM 4.6V: 26.3

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Grayline Qwen3 8B: —
    • GLM 4.6V: 17.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Grayline Qwen3 8B: —
    • GLM 4.6V: 3.7%
  • GPQA Diamond

    Graduate-level science questions

    • Grayline Qwen3 8B: —
    • GLM 4.6V: 56.6%
  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Grayline Qwen3 8B: —
    • GLM 4.6V: 75.2%
  • IFBench

    Following precise output instructions

    • Grayline Qwen3 8B: —
    • GLM 4.6V: 27.9%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Grayline Qwen3 8B: —
    • GLM 4.6V: 41.1%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Grayline Qwen3 8B: —
    • GLM 4.6V: 26.3%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Grayline Qwen3 8B: —
    • GLM 4.6V: 3.0%
  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Grayline Qwen3 8B: —
    • GLM 4.6V: 30.7%
  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Grayline Qwen3 8B: —
    • GLM 4.6V: 17.0%

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.

Request success (24h)
65.2%

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": "soob3123/GrayLine-Qwen3-8B",
    "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="soob3123/GrayLine-Qwen3-8B",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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