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Qwen · Open weights

Qwen3.5 397B A17B TEE

Added Feb 28, 2026Open weights

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Use in the app

Qwen 3.5's open-source 397B MoE model (17B active params) with hybrid linear attention. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.55
Output
$3.50

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
65.5K

Side by side

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Public evaluations

Benchmarks

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

Intelligence Index

21.4

Better than 51% of 326 scored models

3.8Catalog models by score55.1

Document reasoning

  • AA-LCRv1.1

    64.3%

    Reasoning across long documents

    Better than 39% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    19.8%

    Expert-level questions across academic fields

    Better than 47% of 323 scored models

  • GPQA Diamond

    86.1%

    Graduate-level science questions

    Better than 65% of 291 scored models

  • IFBench

    51.6%

    Following precise output instructions

    Better than 51% of 215 scored models

Legacy evaluations

  • Terminal-Bench Hard

    35.6%

    Earlier terminal task suite

    Better than 68% of 212 scored models

  • τ²-Bench Telecom

    83.9%

    Tool use in a customer-support simulation

    Better than 64% of 214 scored models

  • AA-LCR (unversioned)

    64.3%

    Long-context reasoning, earlier grading

    Better than 39% 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/qwen3.5-397b-a17b",
    "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/qwen3.5-397b-a17b",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.