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2c:I[4704,[],"IconMark"]
29:T139b,# Qwen 3.5 Plus â€” Native Multimodal AI Model

## What is Qwen 3.5 Plus?

Qwen 3.5 Plus is Alibaba Cloud's hosted flagship multimodal AI model, released February 16, 2026. It is the production-ready version of Qwen3.5-397B-A17B â€” a Mixture-of-Experts model with 397 billion total parameters and just 17 billion active per forward pass, enabling exceptional inference efficiency without sacrificing quality.

Unlike traditional AI models that treat text and vision as separate pipelines, Qwen 3.5 Plus was trained natively on text, images, and video from the ground up using early text-vision fusion architecture. This means it genuinely understands all three modalities together â€” not as bolt-on features.

With a 1 million token context window (one of the largest available), it is built for developers and enterprises who need to handle long documents, complex reasoning chains, and multi-turn agentic workflows in a single API call.

## Key Features

- **Native multimodal understanding:** Processes text, images (up to 1344x1344), and 60-second video clips natively â€” no separate vision model required.
- **1M token context window:** Handle entire codebases, legal documents, research papers, or long conversation histories in a single request.
- **Three operational modes:** Auto (adaptive thinking + search + code interpreter), Thinking (deep step-by-step reasoning), and Fast (instant responses for low-latency tasks).
- **Built-in adaptive tool use:** Native access to web search and a code interpreter in Auto mode â€” no external orchestration needed.
- **201 languages and dialects:** Expanded from 119, with a 250k vocabulary improving encoding/decoding efficiency by 10-60% across most languages.
- **Cost-efficient MoE architecture:** ~60% lower running costs vs predecessor models, with 8.6x-19x faster decoding throughput.

## Best Use Cases

Qwen 3.5 Plus is ideal for:

- **Document intelligence:** OCR, contract review, research paper summarization, and long-document Q&A with 1M context.
- **Visual reasoning:** Spatial analysis, chart interpretation, infographic understanding, and medical imaging tasks.
- **Agentic workflows:** Multi-step tool use, web browsing, code execution, and function-calling pipelines with built-in tools.
- **Coding assistance:** Complex debugging, code generation, and multi-file repository analysis.
- **Retrieval-Augmented Generation (RAG):** Ingest and reason over large knowledge bases in a single context window.
- **Multilingual AI applications:** Customer support, translation, and localization across 201 languages.

## Prompt Tips and Output Quality

To get the best results from Qwen 3.5 Plus:

- **Use the right mode:** Set enable_thinking: true for complex multi-step problems. Use Fast mode for simple queries where speed matters.
- **Be specific with multimodal inputs:** When sending images, describe what aspect you want analyzed. Qwen 3.5 Plus can handle multiple images in one request.
- **Leverage the full context window:** For RAG use cases, include complete documents rather than chunking â€” the 1M context means less retrieval overhead and better coherence.
- **Enable search for factual tasks:** In Auto mode, the built-in search tool ensures factually grounded responses for time-sensitive queries.
- **Structure prompts for agents:** Use clear task decomposition in your system prompt to maximize the model's native agentic capabilities.

Output quality is consistently high across text, code, and visual tasks. Benchmark scores include 83.6 on LiveCodeBench v6, 91.3 on AIME26, and 88.4 on GPQA Diamond â€” outperforming GPT-5.2 and Claude Opus 4.5 on over 80% of evaluated categories.

## FAQs

**What is the difference between Qwen 3.5 Plus and Qwen3.5-397B-A17B?**
Qwen3.5-397B-A17B is the open-weight model you can self-host. Qwen 3.5 Plus is the hosted production version with additional features: 1M context (vs 256K base), built-in tools, and three operational modes.

**Does Qwen 3.5 Plus support video input?**
Yes. It natively processes video clips up to 60 seconds. Pass video as a URL or base64-encoded data alongside your prompt.

**What operational modes are available?**
Auto (adaptive thinking + web search + code interpreter), Thinking (deep step-by-step reasoning), and Fast (instant, low-latency responses).

**How does pricing compare to other models?**
Input tokens are priced at $0.50 per 1M tokens and output at $3.00 per 1M tokens â€” competitive with mid-tier frontier models while offering significantly better multimodal capabilities.

**Can Qwen 3.5 Plus use external tools natively?**
Yes. In Auto mode, built-in tools include web search and a code interpreter â€” no external orchestration or LangChain required.

**Is Qwen 3.5 Plus suitable for production enterprise workloads?**
Absolutely. The MoE architecture delivers 8.6x-19x faster throughput than predecessor dense models, and the 1M context window reduces RAG complexity significantly.2a:Ta1c,# How to Use Qwen 3.5 Plus Effectively

Qwen 3.5 Plus is Alibaba Cloud's hosted multimodal AI model with a 1M token context window, native image and video understanding, and built-in tool use. Here is how to get the most out of it across different use cases.

## Choosing the Right Mode

Qwen 3.5 Plus supports three operational modes that change how the model reasons:

- **Auto mode** is the default for most tasks. It adaptively switches between thinking, search, and code execution based on the query. Best for complex or ambiguous tasks where you want the model to determine the right approach.
- **Thinking mode** forces deep step-by-step reasoning. Use this for math problems, logic puzzles, multi-step coding tasks, or complex document analysis where accuracy matters more than speed.
- **Fast mode** skips extended reasoning and returns answers immediately. Ideal for simple Q&A, classification, translation, or any latency-sensitive application.

## Working with Text Prompts

For best results with text-only tasks, write clear, structured prompts. For long-document analysis, paste entire documents directly â€” the 1M token context window eliminates the need for chunking in most cases. Use role-based system prompts to set the model's behavior for customer-facing applications.

For coding tasks, include the full file or repository context. Qwen 3.5 Plus handles multi-file codebases within the context window and excels at debugging, refactoring, and code generation across popular languages.

## Working with Images

Send an image alongside a prompt to trigger multimodal understanding. The model processes images up to 1344x1344 resolution. Use precise, targeted questions for best results â€” asking the model to describe specific regions, extract text, or compare multiple images.

For document understanding, send scanned PDFs or screenshots as images. The model's OCR and layout understanding are particularly strong for structured forms, charts, and tables.

## Working with Video

Pass video clips up to 60 seconds with a descriptive prompt. The model can summarize, caption, or answer questions about the video content natively. For longer videos, split into 60-second segments and chain the outputs.

## Agentic and Tool-Use Workflows

In Auto mode, Qwen 3.5 Plus can access built-in web search and a code interpreter automatically. For multi-step agent tasks, provide a clear goal and decompose complex workflows in the system prompt. Use structured JSON schema for tool definitions to get reliable, parseable function-call outputs.1e:["$","$L28",null,{"route":"qwen3.5-plus","modelDetails":{"title":"Qwen 3.5 Plus","thumbnail_image":"https://segmind-resources.s3.amazonaws.com/output/qwen3.5-plus-3739.webp","type":"textToText","model_type":"SO","is_depreciated":false,"meta_description":"Alibaba Cloud's native multimodal AI with 1M context, image/video input, and built-in tool use for developers.","seo_description":"$29","guide":"$2a","pricing_guide":null,"artifacts":[],"default_image_output":"https://segmind-resources.s3.amazonaws.com/output/qwen3.5-plus-3739.webp","default_response":null,"parameters":{"prompt":{"isRequired":true,"affectsPricing":false,"type":"str","description":"Main text input for model processing. Detailed for complex analysis.","isEnum":false,"hidden":false,"isAdvanced":false,"displayOrder":0,"component":"textarea","displayValue":"Explain how AI enhances patient diagnosis in healthcare.","label":"prompt","default":"Explain how AI enhances patient diagnosis in healthcare."},"image":{"isRequired":false,"affectsPricing":false,"type":"image","description":"Optional image for visual analysis alongside text prompt.","isEnum":false,"hidden":false,"isAdvanced":false,"displayOrder":1,"component":"image","label":"Image","default":null},"response_format":{"type":"object","format":"json","component":"textarea","label":"Response format","description":"Structured output. {\"type\": \"json_object\"} returns any valid JSON; {\"type\": \"json_schema\", \"json_schema\": {\"name\", \"strict\", \"schema\"}} enforces the given JSON Schema. Omit for plain text.","displayValue":{"type":"json_schema","json_schema":{"name":"answer","strict":true,"schema":{"type":"object","properties":{"answer":{"type":"string"}},"required":["answer"],"additionalProperties":false}}},"isRequired":false,"isAdvanced":true,"hidden":false,"affectsPricing":false,"isEnum":false,"displayOrder":2}},"endpoints":{"main":"/v1/qwen3.5-plus"},"api_notes":[],"model_outputs":null,"llm_capabilities":null,"license":"","github_link":null,"inference_provider":"DASHSCOPE","created_ts":"2026-03-24 09:25:46.849838+00:00","slug":"qwen3.5-plus","name":"Qwen 3.5 Plus","description":"Multimodal 1M context AI for image, video, and text.","category":"textToText","modality":"llm","input":"text","output":"text","provider":"ALIBABA","thumbnail_url":"https://segmind-resources.s3.amazonaws.com/output/qwen3.5-plus-3739.webp","is_new":false,"coming_soon":false,"popularity_score":45,"category_percentile":69,"average_cost":0.008198834101382488,"latency_seconds":36.44783,"created_at":"2026-03-24 09:25:46.849838+00:00","parameters_schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","type":"object","properties":{"prompt":{"type":"string","title":"Prompt","description":"Main text input for model processing. Detailed for complex analysis.","default":"Explain how AI enhances patient diagnosis in healthcare.","x-ui-metadata":{"order":0,"advanced":false,"hidden":false}},"image":{"type":"string","format":"uri","x-file-metadata":{"allowed-types":["image/*"]},"title":"Image","description":"Optional image for visual analysis alongside text prompt.","x-ui-metadata":{"order":1,"advanced":false,"hidden":false}},"response_format":{"type":"object","format":"json","title":"Response format","description":"Structured output. {\"type\": \"json_object\"} returns any valid JSON; this model does not enforce a json_schema. Omit for plain text. The prompt must mention JSON.","examples":[{"type":"json_object"}],"x-ui-metadata":{"order":2,"advanced":true,"hidden":false}}},"required":["prompt"],"examples":[{"prompt":"Explain how AI enhances patient diagnosis in healthcare."}]}},"metrics":{"total_requests":null,"latency":36.44783},"children":"$L2b"}]
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2d:T71e,{"@context":"https://schema.org","@type":"FAQPage","@id":"https://www.segmind.com/models/qwen3.5-plus#faq","mainEntity":[{"@type":"Question","name":"What is the difference between Qwen 3.5 Plus and Qwen3.5-397B-A17B?","acceptedAnswer":{"@type":"Answer","text":"Qwen3.5-397B-A17B is the open-weight model you can self-host. Qwen 3.5 Plus is the hosted production version with additional features: 1M context (vs 256K base), built-in tools, and three operational modes."}},{"@type":"Question","name":"Does Qwen 3.5 Plus support video input?","acceptedAnswer":{"@type":"Answer","text":"Yes. It natively processes video clips up to 60 seconds. Pass video as a URL or base64-encoded data alongside your prompt."}},{"@type":"Question","name":"What operational modes are available?","acceptedAnswer":{"@type":"Answer","text":"Auto (adaptive thinking + web search + code interpreter), Thinking (deep step-by-step reasoning), and Fast (instant, low-latency responses)."}},{"@type":"Question","name":"How does pricing compare to other models?","acceptedAnswer":{"@type":"Answer","text":"Input tokens are priced at $0.50 per 1M tokens and output at $3.00 per 1M tokens â€” competitive with mid-tier frontier models while offering significantly better multimodal capabilities."}},{"@type":"Question","name":"Can Qwen 3.5 Plus use external tools natively?","acceptedAnswer":{"@type":"Answer","text":"Yes. In Auto mode, built-in tools include web search and a code interpreter â€” no external orchestration or LangChain required."}},{"@type":"Question","name":"Is Qwen 3.5 Plus suitable for production enterprise workloads?","acceptedAnswer":{"@type":"Answer","text":"Absolutely. The MoE architecture delivers 8.6x-19x faster throughput than predecessor dense models, and the 1M context window reduces RAG complexity significantly."}}]}2f:T139b,# Qwen 3.5 Plus â€” Native Multimodal AI Model

## What is Qwen 3.5 Plus?

Qwen 3.5 Plus is Alibaba Cloud's hosted flagship multimodal AI model, released February 16, 2026. It is the production-ready version of Qwen3.5-397B-A17B â€” a Mixture-of-Experts model with 397 billion total parameters and just 17 billion active per forward pass, enabling exceptional inference efficiency without sacrificing quality.

Unlike traditional AI models that treat text and vision as separate pipelines, Qwen 3.5 Plus was trained natively on text, images, and video from the ground up using early text-vision fusion architecture. This means it genuinely understands all three modalities together â€” not as bolt-on features.

With a 1 million token context window (one of the largest available), it is built for developers and enterprises who need to handle long documents, complex reasoning chains, and multi-turn agentic workflows in a single API call.

## Key Features

- **Native multimodal understanding:** Processes text, images (up to 1344x1344), and 60-second video clips natively â€” no separate vision model required.
- **1M token context window:** Handle entire codebases, legal documents, research papers, or long conversation histories in a single request.
- **Three operational modes:** Auto (adaptive thinking + search + code interpreter), Thinking (deep step-by-step reasoning), and Fast (instant responses for low-latency tasks).
- **Built-in adaptive tool use:** Native access to web search and a code interpreter in Auto mode â€” no external orchestration needed.
- **201 languages and dialects:** Expanded from 119, with a 250k vocabulary improving encoding/decoding efficiency by 10-60% across most languages.
- **Cost-efficient MoE architecture:** ~60% lower running costs vs predecessor models, with 8.6x-19x faster decoding throughput.

## Best Use Cases

Qwen 3.5 Plus is ideal for:

- **Document intelligence:** OCR, contract review, research paper summarization, and long-document Q&A with 1M context.
- **Visual reasoning:** Spatial analysis, chart interpretation, infographic understanding, and medical imaging tasks.
- **Agentic workflows:** Multi-step tool use, web browsing, code execution, and function-calling pipelines with built-in tools.
- **Coding assistance:** Complex debugging, code generation, and multi-file repository analysis.
- **Retrieval-Augmented Generation (RAG):** Ingest and reason over large knowledge bases in a single context window.
- **Multilingual AI applications:** Customer support, translation, and localization across 201 languages.

## Prompt Tips and Output Quality

To get the best results from Qwen 3.5 Plus:

- **Use the right mode:** Set enable_thinking: true for complex multi-step problems. Use Fast mode for simple queries where speed matters.
- **Be specific with multimodal inputs:** When sending images, describe what aspect you want analyzed. Qwen 3.5 Plus can handle multiple images in one request.
- **Leverage the full context window:** For RAG use cases, include complete documents rather than chunking â€” the 1M context means less retrieval overhead and better coherence.
- **Enable search for factual tasks:** In Auto mode, the built-in search tool ensures factually grounded responses for time-sensitive queries.
- **Structure prompts for agents:** Use clear task decomposition in your system prompt to maximize the model's native agentic capabilities.

Output quality is consistently high across text, code, and visual tasks. Benchmark scores include 83.6 on LiveCodeBench v6, 91.3 on AIME26, and 88.4 on GPQA Diamond â€” outperforming GPT-5.2 and Claude Opus 4.5 on over 80% of evaluated categories.

## FAQs

**What is the difference between Qwen 3.5 Plus and Qwen3.5-397B-A17B?**
Qwen3.5-397B-A17B is the open-weight model you can self-host. Qwen 3.5 Plus is the hosted production version with additional features: 1M context (vs 256K base), built-in tools, and three operational modes.

**Does Qwen 3.5 Plus support video input?**
Yes. It natively processes video clips up to 60 seconds. Pass video as a URL or base64-encoded data alongside your prompt.

**What operational modes are available?**
Auto (adaptive thinking + web search + code interpreter), Thinking (deep step-by-step reasoning), and Fast (instant, low-latency responses).

**How does pricing compare to other models?**
Input tokens are priced at $0.50 per 1M tokens and output at $3.00 per 1M tokens â€” competitive with mid-tier frontier models while offering significantly better multimodal capabilities.

**Can Qwen 3.5 Plus use external tools natively?**
Yes. In Auto mode, built-in tools include web search and a code interpreter â€” no external orchestration or LangChain required.

**Is Qwen 3.5 Plus suitable for production enterprise workloads?**
Absolutely. The MoE architecture delivers 8.6x-19x faster throughput than predecessor dense models, and the 1M context window reduces RAG complexity significantly.30:Ta1c,# How to Use Qwen 3.5 Plus Effectively

Qwen 3.5 Plus is Alibaba Cloud's hosted multimodal AI model with a 1M token context window, native image and video understanding, and built-in tool use. Here is how to get the most out of it across different use cases.

## Choosing the Right Mode

Qwen 3.5 Plus supports three operational modes that change how the model reasons:

- **Auto mode** is the default for most tasks. It adaptively switches between thinking, search, and code execution based on the query. Best for complex or ambiguous tasks where you want the model to determine the right approach.
- **Thinking mode** forces deep step-by-step reasoning. Use this for math problems, logic puzzles, multi-step coding tasks, or complex document analysis where accuracy matters more than speed.
- **Fast mode** skips extended reasoning and returns answers immediately. Ideal for simple Q&A, classification, translation, or any latency-sensitive application.

## Working with Text Prompts

For best results with text-only tasks, write clear, structured prompts. For long-document analysis, paste entire documents directly â€” the 1M token context window eliminates the need for chunking in most cases. Use role-based system prompts to set the model's behavior for customer-facing applications.

For coding tasks, include the full file or repository context. Qwen 3.5 Plus handles multi-file codebases within the context window and excels at debugging, refactoring, and code generation across popular languages.

## Working with Images

Send an image alongside a prompt to trigger multimodal understanding. The model processes images up to 1344x1344 resolution. Use precise, targeted questions for best results â€” asking the model to describe specific regions, extract text, or compare multiple images.

For document understanding, send scanned PDFs or screenshots as images. The model's OCR and layout understanding are particularly strong for structured forms, charts, and tables.

## Working with Video

Pass video clips up to 60 seconds with a descriptive prompt. The model can summarize, caption, or answer questions about the video content natively. For longer videos, split into 60-second segments and chain the outputs.

## Agentic and Tool-Use Workflows

In Auto mode, Qwen 3.5 Plus can access built-in web search and a code interpreter automatically. For multi-step agent tasks, provide a clear goal and decompose complex workflows in the system prompt. 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