HomeModels › Qwen3.6-Max
Alibaba Cloud · 2026 Flagship · Just Released

Qwen3.6-Max API

Alibaba's newest flagship (2026-04). Top-tier reasoning and agentic performance among the Qwen lineage. Exclusively available on NovAI's DashScope-compatible gateway.

$1.00
Input / 1M tokens
$4.00
Output / 1M tokens
128K
Context window
SOTA
Agent benchmark
Sign Up - Get $0.50 Free Credit See All Pricing

Why use Qwen3.6-Max on NovAI?

  • 2026-04 latest flagship - newest Qwen-series model from Alibaba Cloud / DashScope
  • SOTA agent performance - leading tool-use and multi-step reasoning benchmarks
  • Multimodal aware - native handling of text, structured data, and code
  • 128K context - repo-level, document-level, and long-conversation workloads
  • DashScope compatible - OpenAI API format, zero code change to integrate
  • Hong Kong gateway - NovAI edge keeps latency low for global users

Best use cases

  • Autonomous agents (planner + executor + critic loops)
  • Enterprise Chinese-language generation and understanding
  • Multi-turn tool-use, function calling, structured output
  • Long-context document Q&A and knowledge assistants
  • Bilingual (EN/CN) research and analyst workflows

Quick start

cURL

curl https://aiapi-pro.com/v1/chat/completions \
  -H "Authorization: Bearer $NOVAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.6-max-preview",
    "messages": [{"role":"user","content":"Analyze the pros and cons of MoE vs dense LLM architectures."}]
  }'

Python (OpenAI SDK)

from openai import OpenAI
client = OpenAI(
    base_url="https://aiapi-pro.com/v1",
    api_key="YOUR_NOVAI_API_KEY",
)
resp = client.chat.completions.create(
    model="qwen3.6-max-preview",
    messages=[{"role":"user","content":"Analyze the pros and cons of MoE vs dense LLM architectures."}],
)
print(resp.choices[0].message.content)

Try Qwen3.6-Max today

Zero platform fee. Credits never expire. OpenAI-compatible API.

Sign Up Free