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Qwen3.6 Max Preview

Added Apr 20, 2026

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Use in the app

Qwen3.6 Max Preview is Alibaba's flagship Qwen 3.6 model for complex tasks. It supports both thinking and non-thinking modes in a single model id.

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$1.04
Output
$6.24

Reference prices as published by the model provider. API example

Specifications

Context window
245.8K
Max output
65.5K

Side by side

Qwen3.6 Max Preview compared

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

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Qwen3.6 Max PreviewQwenThis modelStep 5 PreviewstepfunRemove
ProviderQwenstepfun
Discovery tierBalancedBalanced
AddedApr 20, 2026Sep 20, 2026
Limits
Context window245.76K1MBest
Max output65.54K65.54K
Average output—1.5K tokens
Pricing, USD per 1M tokens
Input$1.04$1.00Best
Output$6.24$2.70Best
Cache read—$0.05
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index—43.7
Capabilities
ReasoningNoYes
ToolsNoYes
VisionNoYes
Structured outputNoYes
Video inputNoYes
Parallel toolsNoYes
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 Max Preview
  • Step 5 Preview

Intelligence Index

  • Qwen3.6 Max Preview—
  • Step 5 Preview43.7
3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Qwen3.6 Max Preview: —
    • Step 5 Preview: 51.0%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Qwen3.6 Max Preview: —
    • Step 5 Preview: 17.7%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Qwen3.6 Max Preview: —
    • Step 5 Preview: 1,423 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Qwen3.6 Max Preview: —
    • Step 5 Preview: 1,587 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Qwen3.6 Max Preview: —
    • Step 5 Preview: 14.8%

  • AA-LCRv1.1

    Reasoning across long documents

    • Qwen3.6 Max Preview: —
    • Step 5 Preview: 88.3%

  • MLCR-AA

    Long-context reasoning over medical records

    • Qwen3.6 Max Preview: —
    • Step 5 Preview: 18.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Qwen3.6 Max Preview: —
    • Step 5 Preview: 46.5%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Qwen3.6 Max Preview: —
    • Step 5 Preview: 33.3%

  • SciCode

    Scientific computing in Python

    • Qwen3.6 Max Preview: —
    • Step 5 Preview: 58.9%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Qwen3.6 Max Preview: —
    • Step 5 Preview: 88.3%

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

Qwen

Other Qwen models, starting with the same family.