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Qwen · Open weights

Qwen3.6 35B A3B TEE

Added Jun 9, 2026Open weights

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Use in the app

Qwen3.6 35B A3B is an open-weight MoE model from Alibaba's Qwen team with 35B total parameters and 3B active parameters per token. 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
$0.20
Output
$1.27

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
262.1K
Average output (7 days)
3.9K tokens
Longer than 98% of 468 models

Side by side

Qwen3.6 35B A3B TEE compared

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

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Qwen3.6 35B A3B TEEQwenThis modelOpenAI o1OpenAIRemove
ProviderQwenOpenAI
Discovery tierOpen weightsBalanced
AddedJun 9, 2026Jan 1, 2024
Limits
Context window262.14KBest200K
Max output262.14KBest100K
Average output3.9K tokens28 tokens
Pricing, USD per 1M tokens
Input$0.20Best$15.00
Output$1.27Best$60.00
Cache read—$7.50
Performance
Request success (24h)99.5%—
Benchmark indexes
Intelligence Index15.215.2
Coding Index28.139.7Best
Capabilities
ReasoningNoYes
Reasoning effort—low, medium, high

Public evaluations

Benchmarks

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

  • Qwen3.6 35B A3B TEE
  • OpenAI o1

Intelligence Index

  • Qwen3.6 35B A3B TEE15.2
  • OpenAI o115.2

Qwen3.6 35B A3B TEE: Better than 38% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Qwen3.6 35B A3B TEE: 28.1
    • OpenAI o1: 39.7Top

Agentic work

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Qwen3.6 35B A3B TEE: 847 Elo
    • OpenAI o1: —

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Qwen3.6 35B A3B TEE: 64.3%
    • OpenAI o1: 65.0%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Qwen3.6 35B A3B TEE: 13.9%Top
    • OpenAI o1: 7.0%

  • GPQA Diamond

    Graduate-level science questions

    • Qwen3.6 35B A3B TEE: 81.7%Top
    • OpenAI o1: 74.7%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Qwen3.6 35B A3B TEE: —
    • OpenAI o1: 84.1%

  • IFBench

    Following precise output instructions

    • Qwen3.6 35B A3B TEE: 36.2%
    • OpenAI o1: 70.3%Top

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Qwen3.6 35B A3B TEE: —
    • OpenAI o1: 67.9%

Math

  • AIME

    Competition mathematics

    • Qwen3.6 35B A3B TEE: —
    • OpenAI o1: 72.3%

  • MATH-500

    Competition math problems

    • Qwen3.6 35B A3B TEE: —
    • OpenAI o1: 97.0%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Qwen3.6 35B A3B TEE: 25.8%Top
    • OpenAI o1: 12.9%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Qwen3.6 35B A3B TEE: 85.1%Top
    • OpenAI o1: 62.6%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Qwen3.6 35B A3B TEE: 64.3%
    • OpenAI o1: 65.0%Top

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.

Prompt cache hits
12.3%
Request success (24h)
99.5%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 77.7%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

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/qwen3.6-35b-a3b",
    "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/qwen3.6-35b-a3b",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Qwen

Other Qwen models, starting with the same family.