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Qwen · Open weights

Qwen3.5 27B TEE

Added Mar 13, 2026Open weights

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Use in the app

Qwen3.5 27B is a native vision-language dense model optimized for fast responses while balancing quality and inference speed. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

  • Vision
  • Video input
Input
Text, Images, Video
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.30
Output
$2.40

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
65.5K
Average output (7 days)
1.4K tokens
Longer than 82% of 468 models

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TryNvidia Nemotron 3 Ultra 550BMiniMax M2.7GPT 5All 3

Public evaluations

Benchmarks

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

Intelligence Index

22.9

Better than 56% of 326 scored models

3.8Catalog models by score55.1

Document reasoning

  • AA-LCRv1.1

    77.7%

    Reasoning across long documents

    Better than 64% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    23.9%

    Expert-level questions across academic fields

    Better than 55% of 323 scored models

  • GPQA Diamond

    85.8%

    Graduate-level science questions

    Better than 63% of 291 scored models

  • IFBench

    75.6%

    Following precise output instructions

    Better than 84% of 215 scored models

Legacy evaluations

  • Terminal-Bench Hard

    32.6%

    Earlier terminal task suite

    Better than 60% of 212 scored models

  • τ²-Bench Telecom

    93.9%

    Tool use in a customer-support simulation

    Better than 81% of 214 scored models

  • AA-LCR (unversioned)

    77.7%

    Long-context reasoning, earlier grading

    Better than 64% of 309 scored models

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": "TEE/qwen3.5-27b",
    "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="TEE/qwen3.5-27b",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.