Qwen: Qwen3.5-35B-A3B

Q: Is Qwen3.5-35B-A3B free?

Yes, it is free if you're using it through Puter.js . With the User-Pays Model , you can add Qwen3.5-35B-A3B to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

qwen/qwen3.5-35b-a3b

Access Qwen3.5-35B-A3B from Qwen using Puter.js AI API.

Get Started

// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';

puter.ai.chat("Explain quantum computing in simple terms", {
    model: "qwen/qwen3.5-35b-a3b"
}).then(response => {
    document.body.innerHTML = response.message.content;
});

<html>
<body>
    <script src="https://js.puter.com/v2/"></script>
    <script>
        puter.ai.chat("Explain quantum computing in simple terms", {
            model: "qwen/qwen3.5-35b-a3b"
        }).then(response => {
            document.body.innerHTML = response.message.content;
        });
    </script>
</body>
</html>

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.puter.com/puterai/openai/v1/",
    api_key="YOUR_PUTER_AUTH_TOKEN",
)

response = client.chat.completions.create(
    model="qwen/qwen3.5-35b-a3b",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ],
)

print(response.choices[0].message.content)

curl https://api.puter.com/puterai/openai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
  -d '{
    "model": "qwen/qwen3.5-35b-a3b",
    "messages": [
      {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
  }'

Model Card

Qwen 3.5 35B (3B Active) is a sparse MoE model that activates just 3B of its 35B total parameters, yet outperforms the previous-generation 235B flagship across language, vision, coding, and agent tasks. It uses a hybrid Gated DeltaNet + MoE architecture and can run on GPUs with as little as 8GB VRAM when quantized. It's the base model behind the hosted Qwen 3.5 Flash API.

Context Window 262K

tokens

Max Output 66K

tokens

Input Cost $0.25

per million tokens

Output Cost $2

per million tokens

Input text, image, video, audio

modalities

Tool Use Yes

Release Date Feb 23, 2026

Output Speed 143

tokens / sec

Latency 1.03s

time to first token

Model Playground

Try Qwen3.5-35B-A3B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.

Chat qwen/qwen3.5-35b-a3b

Chat with Qwen3.5-35B-A3B

Benchmarks

How Qwen3.5-35B-A3B performs on standard evaluations.

Artificial Analysis

Intelligence Index

37.1

Better than 79% of tracked models

Artificial Analysis

Coding Index

30.3

Better than 71% of tracked models

Benchmark	Score
GPQA Diamond Graduate-level science Q&A	84.5%
Humanity's Last Exam Cross-domain reasoning	19.7%
SciCode Scientific programming	37.7%
IFBench Instruction following	72.5%
LCR Long-context reasoning	62.7%
Terminal-Bench Hard Agentic terminal tasks	26.5%
τ²-Bench Tool use / agents	89.2%

Scores sourced from Artificial Analysis.

Find other Qwen models →

Chat

Qwen3.7 Max

Qwen3.7 Max is Alibaba's flagship proprietary reasoning model, released in May 2026, built for long-horizon agentic workloads with a 1 million-token context window and a chain-of-thought reasoning architecture. It is purpose-built for complex, multi-step autonomous tasks. Alibaba demonstrated the model running for 35 hours without degradation, executing over 1,000 tool calls in a single session — making it a strong candidate for coding agents, automated pipelines, and deep document analysis. On benchmarks, it ranks 13th globally on LM Arena's text leaderboard and scores 56.6 on the Artificial Analysis Intelligence Index, making it the highest-ranked Chinese model on that index. It posted 90.2 on Arena-Hard v2 and 72.5 on SWE-Bench Verified. Qwen3.7 Max supports the Anthropic API protocol natively, so it integrates cleanly with tooling like Claude Code. It is well-suited for developers building coding assistants, research agents, or any API use case requiring extended reasoning over large contexts.

Chat

Qwen3.6 Flash

Qwen3.6 Flash is the speed-optimized tier of Alibaba's Qwen3.6 model family, designed for high-throughput, low-latency inference pipelines. It sits alongside Qwen3.6 Max Preview, Plus, and 35B-A3B in the product lineup, targeting use cases where fast response times matter more than peak benchmark scores. Like other Qwen3.6 models, it builds on a hybrid architecture combining linear attention with sparse mixture-of-experts routing. It is best suited for high-volume production workloads such as classification, extraction, summarization, and lightweight agent tasks where latency and cost efficiency are the primary constraints.

Chat

Qwen3.5 Plus 2026-04-20

Qwen3.5 Plus is a proprietary hosted model from Alibaba, built on the Qwen3.5-397B-A17B Mixture-of-Experts architecture with 397 billion total parameters and 17 billion active per token. Its headline feature is a 1-million-token native context window — among the largest available via API — making it well suited for processing entire codebases, long documents, or extended multi-turn conversations in a single request. It supports both a deep-thinking mode and an "Auto" mode that adaptively invokes tools like web search and code interpreters. This April 20, 2026 snapshot reflects ongoing improvements to the model since its original February 2026 launch. The Qwen3.5 series demonstrated strong multimodal performance across reasoning, coding, and vision tasks. A solid general-purpose option for developers needing large-context capabilities without migrating to the newer Qwen3.6 line.

Frequently Asked Questions

How do I use Qwen3.5-35B-A3B?

You can access Qwen3.5-35B-A3B by Qwen through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.

Is Qwen3.5-35B-A3B free?

Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Qwen3.5-35B-A3B to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.

What is the pricing for Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B costs $0.25 per 1M input tokens and $2 per 1M output tokens.

	Price per 1M tokens
Input	$0.25
Output	$2

Who created Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B was created by Qwen and released on Feb 23, 2026.

What is the context window of Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.

What is the max output length of Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B can generate up to 66K tokens in a single response.

What types of input can Qwen3.5-35B-A3B process?

Qwen3.5-35B-A3B accepts the following input types: text, image, video, audio. It produces: text.

Does Qwen3.5-35B-A3B support tool use (function calling)?

Yes, Qwen3.5-35B-A3B supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.

How does Qwen3.5-35B-A3B perform on benchmarks?

Qwen3.5-35B-A3B scores 37.1 on the Artificial Analysis Intelligence Index, outperforming 79% of tracked models. On coding, it scores 30.3 (outperforms 71% of models).

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the Qwen3.5-35B-A3B API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.

Get started with Puter.js

Add Qwen3.5-35B-A3B to your app without worrying about API keys or setup.

Read the Docs View Tutorials