Qwen3.5-35B-A3B
VerifiedOpen-weight multimodal model for text, image, and video with 262k context.
About Qwen3.5-35B-A3B
The model integrates multimodal processing capabilities into a single architecture. It manages long sequences across text, images, and video through its large context length. This design enables coherent handling of mixed-media inputs without modality-specific pipelines.
Open weights allow direct inspection, fine-tuning, and local deployment by developers. The model maintains consistent behavior across modalities while supporting extended context for detailed tasks. Its release format reduces barriers for customization and experimentation.
Common applications include video analysis, image captioning with narrative context, and long-document multimodal reasoning. Researchers use it for prototyping cross-modal systems in media, education, and accessibility. Production teams deploy it where transparency and adaptability are priorities.
Capabilities
How Qwen3.5-35B-A3B compares
Qwen3.5-35B-A3B (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Qwen3.5-35B-A3B ranks #31 of 124
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Video Sequence Analysis
The model processes extended video inputs for tasks like event detection and summarization, leveraging its 262144-token context and video analysis capabilities.
Multimodal Document Interpretation
It combines text generation with image interpretation to answer queries about documents containing charts, diagrams, and lengthy explanations.
Cross-Modal Reasoning Projects
Users apply it to scenarios requiring integrated understanding of text, images, and video for coherent multi-step reasoning outputs.
Strengths & limitations
Strengths
- +Very large context window
- +Native support for video alongside text and images
- +Unified multimodal processing
Limitations
- –High compute demand for full context or video inputs
- –Performance depends on input quality and length
- –May require task-specific prompting for complex video tasks
Cost calculator
Estimate what Qwen3.5-35B-A3B would cost for your usage.
Based on Qwen3.5-35B-A3B's $0.14/1M input · $1.00/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "qwen/qwen3.5-35b-a3b",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: qwen/qwen3.5-35b-a3b
Editor's verdict
Qwen3.5-35B-A3B is Alibaba Qwen's open-weight multimodal with a 262K-token context window.
At $1.00 per 1M output tokens, it is mid-priced for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to very large context window and native support for video alongside text and images.
Frequently asked questions
Pricing details are provided on Alibaba Cloud's official API documentation and billing pages.
User reviews
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