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soob3123 · Open weights

Veiled Calla 12B

Added Apr 13, 2025Open weights

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Use in the app

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 modelQwen3.5 27B TEEQwenRemove
Providersoob3123Qwen
Discovery tierOpen weightsOpen weights
AddedApr 13, 2025Mar 13, 2026
Limits
Context window32.77K262.14KBest
Max output8.19K65.54KBest
Average output175 tokens1.4K tokens
Pricing, USD per 1M tokens
Input$0.30$0.30
Output$0.30Best$2.40
Benchmark indexes
Intelligence Index—22.9
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
  • Qwen3.5 27B TEE

Intelligence Index

  • Veiled Calla 12B—
  • Qwen3.5 27B TEE22.9
3.8Catalog models by score55.1

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Veiled Calla 12B: —
    • Qwen3.5 27B TEE: 77.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Veiled Calla 12B: —
    • Qwen3.5 27B TEE: 23.9%
  • GPQA Diamond

    Graduate-level science questions

    • Veiled Calla 12B: —
    • Qwen3.5 27B TEE: 85.8%
  • IFBench

    Following precise output instructions

    • Veiled Calla 12B: —
    • Qwen3.5 27B TEE: 75.6%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Veiled Calla 12B: —
    • Qwen3.5 27B TEE: 32.6%
  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Veiled Calla 12B: —
    • Qwen3.5 27B TEE: 93.9%
  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Veiled Calla 12B: —
    • Qwen3.5 27B TEE: 77.7%

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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