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soob3123 · Open weights

Amoral Gemma3 27B v2

Added May 23, 2025Open weights

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Amoral Gemma3 27B v2 is a 27B parameter model that is a more advanced version of Gemma3 27B.

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
8.2K
Average output (7 days)
22 tokens
Longer than 0% of 468 models

Side by side

Amoral Gemma3 27B v2 compared

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

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Amoral Gemma3 27B v2soob3123This modelGLM 4.6VZ.aiRemove
Providersoob3123Z.ai
Discovery tierOpen weightsOpen weights
AddedMay 23, 2025Dec 11, 2025
Limits
Context window32.77K128KBest
Max output8.19K24KBest
Average output22 tokens139 tokens
Pricing, USD per 1M tokens
Input$0.30$0.30
Output$0.30Best$0.90
Performance
Request success (24h)34.2%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.

  • Amoral Gemma3 27B v2
  • GLM 4.6V

Intelligence Index

  • Amoral Gemma3 27B v2—
  • GLM 4.6V8.4
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Amoral Gemma3 27B v2: —
    • GLM 4.6V: 26.3

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Amoral Gemma3 27B v2: —
    • GLM 4.6V: 17.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Amoral Gemma3 27B v2: —
    • GLM 4.6V: 3.7%

  • GPQA Diamond

    Graduate-level science questions

    • Amoral Gemma3 27B v2: —
    • GLM 4.6V: 56.6%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Amoral Gemma3 27B v2: —
    • GLM 4.6V: 75.2%

  • IFBench

    Following precise output instructions

    • Amoral Gemma3 27B v2: —
    • GLM 4.6V: 27.9%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Amoral Gemma3 27B v2: —
    • GLM 4.6V: 41.1%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Amoral Gemma3 27B v2: —
    • GLM 4.6V: 26.3%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Amoral Gemma3 27B v2: —
    • GLM 4.6V: 3.0%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Amoral Gemma3 27B v2: —
    • GLM 4.6V: 30.7%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Amoral Gemma3 27B v2: —
    • 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)
34.2%

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/amoral-gemma3-27B-v2",
    "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/amoral-gemma3-27B-v2",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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