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soob3123 · Open weights

Veiled Calla 12B

Added Apr 13, 2025Open weights

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Veiled Calla 12B is a 12B parameter model that is a more advanced version of Calla 12B.

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)
175 tokens
Longer than 18% of 468 models

Side by side

Veiled Calla 12B compared

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

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Veiled Calla 12Bsoob3123This modelGLM 4.6VZ.aiRemove
Providersoob3123Z.ai
Discovery tierOpen weightsOpen weights
AddedApr 13, 2025Dec 11, 2025
Limits
Context window32.77K128KBest
Max output8.19K24KBest
Average output175 tokens139 tokens
Pricing, USD per 1M tokens
Input$0.30$0.30
Output$0.30Best$0.90
Performance
Request success (24h)—99.7%
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.

  • Veiled Calla 12B
  • GLM 4.6V

Intelligence Index

  • Veiled Calla 12B—
  • GLM 4.6V8.4
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Veiled Calla 12B: —
    • GLM 4.6V: 26.3

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Veiled Calla 12B: —
    • GLM 4.6V: 17.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Veiled Calla 12B: —
    • GLM 4.6V: 3.7%

  • GPQA Diamond

    Graduate-level science questions

    • Veiled Calla 12B: —
    • GLM 4.6V: 56.6%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Veiled Calla 12B: —
    • GLM 4.6V: 75.2%

  • IFBench

    Following precise output instructions

    • Veiled Calla 12B: —
    • GLM 4.6V: 27.9%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Veiled Calla 12B: —
    • GLM 4.6V: 41.1%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Veiled Calla 12B: —
    • GLM 4.6V: 26.3%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Veiled Calla 12B: —
    • GLM 4.6V: 3.0%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Veiled Calla 12B: —
    • GLM 4.6V: 30.7%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Veiled Calla 12B: —
    • GLM 4.6V: 17.0%

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": "soob3123/Veiled-Calla-12B",
    "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/Veiled-Calla-12B",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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