How to Access Qwen3.5-397B-A17B: A Complete Guide for Developers

Large-scale Mixture-of-Experts (MoE) models are redefining what’s possible in enterprise AI. Among them, Qwen3.5-397B-A17B stands out as one of the most powerful open large language models available today, delivering state-of-the-art reasoning, coding, and multilingual capabilities at unprecedented scale.

In this guide, we’ll explain:

• What Qwen3.5-397B-A17B is
• How it performs across benchmarks
• Four practical ways to access and deploy it

What is Qwen3.5-397B-A17B?

Qwen3.5-397B-A17B, a flagship open-weight model from Alibaba Cloud’s Qwen team, leverages a cutting-edge hybrid architecture combining linear attention with a sparse Mixture-of-Experts (MoE) design to deliver frontier-level reasoning, coding, and multimodal capabilities. Despite its massive 397 billion total parameters, the model achieves exceptional inference efficiency by activating only 17 billion parameters per forward pass, maintaining high performance while significantly reducing computational costs. Furthermore, it enhances global accessibility by expanding its multilingual support from 119 to 201 languages and dialects.

Attribute	Details
Organization	Alibaba Cloud – Qwen Team
Release Date	February 2026
Parameters	397B total, 17B active per token
Architecture	Hybrid: Linear Attention (Gated Delta Networks) + Sparse MoE
Context Window	256K native, extendable to ~1M tokens
Input Capabilities	Text, Image, Video
Output Capabilities	Text
Language Support	201 languages and dialects

Performance Benchmarks

Qwen3.5-397B-A17B is engineered for frontier-level reasoning, coding, and multimodal understanding, with public technical reports highlighting consistently strong performance across major academic, mathematical, and code-generation benchmarks, even as evaluation results continue to evolve over time.

Agentic Intelligence & Tool Use

Qwen3.5 is specifically engineered for “Agentic Workflows”—tasks where the AI acts as an autonomous assistant.

• Dominant Search: It holds a massive lead in BrowseComp (78.6), significantly outperforming Gemini 3 Pro (59.2), which translates to superior web-research capabilities.
• Reliable Tool Interaction: It tops the BFCL V4 (72.9) for tool calling and shows high reliability in IFBench (76.5) for instruction following.
• Competitive Coding: While Claude Opus 4.5 maintains a slight edge in SWE-bench (80.9) and Terminal-Bench 2 (59.3), Qwen3.5 remains a top-tier contender with 76.4 and 52.5 respectively, proving it can handle complex engineering tasks.

Multimodal & Visual Prowess

As a native multimodal model, Qwen3.5 challenges the current leaders in vision-based logic.

• Document Specialist: It is the industry leader in OmniDocBench v1.5 (90.8), outclassing GPT-5.2 (85.7) and Gemini 3 Pro (88.5) in complex document recognition and understanding.
• Visual Logic: It scores 79.0 in MMMU-Pro, nearly equal to GPT-5.2 (79.5) and highly competitive with Gemini 3 Pro (81.0) in high-level visual reasoning.
• Video Reasoning: It delivers a strong 87.5 in Video-MME, placing it neck-and-neck with Gemini 3 Pro (88.4).

Core Language & General Intelligence

• High-Level Knowledge: With an MMMLU score of 88.5, it demonstrates broader multilingual knowledge than Qwen3-Max-Thinking (84.4).
• Scientific Reasoning: It achieves a world-class 88.4 in GPQA Diamond, proving its ability to handle graduate-level scientific queries, though it still trails slightly behind the specialized reasoning of GPT-5.2 (92.4).
• Embodied Reasoning: Its ERQA score (67.5) shows significant improvement over previous Qwen iterations, marking its growing capability in situational reasoning.

How to Access Qwen3.5-397B-A17B

Due to its massive size, accessing Qwen3.5-397B-A17B requires serious compute infrastructure. Below are four practical ways to use it.

Option 1: Playground (No Deployment Required)

If you want to test Qwen3.5-397B-A17B quickly without setting up infrastructure, the easiest method is via a hosted Playground interface.

With Novita AI Playground, you can:

• Interact with Qwen3.5-397B-A17B directly in your browser
• Adjust temperature, top-p, max tokens
• Test prompts for reasoning, coding, or multilingual tasks
• Compare outputs across models

Option 2: API Access (Production-Ready)

For real-world applications, API access is the most common approach.

Why Choose Novita AI API?

• Enterprise-grade GPU clusters
• Optimized MoE inference
• Low-latency distributed serving
• Autoscaling under high concurrency
• OpenAI-compatible endpoints
• Pay-as-you-go pricing

API Pricing

Token Type	Price
Input	$0.6 / 1M tokens
Output	$3.6 / 1M tokens

Getting Started with the API

• Step 1: Create or Log In to Your Account: Visit https://novita.ai and sign up or log in.
• Step 2: Navigate to Key Management: After logging in, find “API Keys.”
• Step 3: Create a New Key: Click the “Add New Key” button.
• Step 4: Save Your Key Immediately: Copy and securely store the key as soon as it is generated — it will only be shown once.

Example (Python)

from openai import OpenAI
client = OpenAI(
    api_key="<Your API Key>",
    base_url="https://api.novita.ai/openai"
)
response = client.chat.completions.create(
    model="qwen/qwen3.5-397b-a17b",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello, how are you?"}
    ],
    max_tokens=64000,
    temperature=0.7
)
print(response.choices[0].message.content)

Option 3: SDK Integration

Novita is fully compatible with OpenAI-style SDKs:

• Drop-in replacement (change base_url + model name)
• Supports routing and agent orchestration
• Easy integration into LangChain, custom agents, and backend systems

Option 4: Third Platforms

Novita integrates with:

• Continue
• AnythingLLM
• LangChain
• Langflow
• Claude Code
• Hugging Face (Inference Provider)
• OpenAI-compatible tools (Cursor, Cline, Qwen Code etc.)
• Anthropic SDK-compatible workflows
• OpenCode
• OpenClaw (Clawdbolt)

Conclusion

Qwen3.5-397B-A17B represents a new generation of ultra-large MoE language models—combining scale, efficiency, and strong multilingual reasoning.

However, access and deployment complexity can slow teams down. With Novita AI, you can:

• Instantly test via Playground
• Integrate via production-grade APIs
• Use SDKs for scalable applications
• Avoid heavy GPU infrastructure management

If you’re ready to build with Qwen3.5-397B-A17B, start today with Novita AI’s Model API and bring frontier AI capabilities into your product faster and more efficiently.

Novita AI is an AI cloud platform that offers developers an easy way to deploy AI models using our simple API, while also providing the affordable and reliable GPU cloud for building and scaling.

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