--- title: 'Qwen3.5-397B-A17B API: Model ID, 256K Context and Vision | RunAPI' description: Call qwen3.5-397b-a17b through RunAPI's OpenAI-compatible Chat Completions API. Flagship open-weight Qwen3.5 MoE with 17B active, 256K context, image input. url: https://runapi.ai/models/qwen/qwen3.5-397b-a17b.md canonical: https://runapi.ai/models/qwen/qwen3.5-397b-a17b locale: en site: RunAPI image: https://runapi.ai/assets/opengraph-bfaaa0f0.png alternates: en: https://runapi.ai/models/qwen/qwen3.5-397b-a17b zh-CN: https://runapi.ai/zh-CN/models/qwen/qwen3.5-397b-a17b es: https://runapi.ai/es/models/qwen/qwen3.5-397b-a17b ja: https://runapi.ai/ja/models/qwen/qwen3.5-397b-a17b de: https://runapi.ai/de/models/qwen/qwen3.5-397b-a17b fr: https://runapi.ai/fr/models/qwen/qwen3.5-397b-a17b pt-BR: https://runapi.ai/pt-BR/models/qwen/qwen3.5-397b-a17b ko: https://runapi.ai/ko/models/qwen/qwen3.5-397b-a17b it: https://runapi.ai/it/models/qwen/qwen3.5-397b-a17b nl: https://runapi.ai/nl/models/qwen/qwen3.5-397b-a17b pl: https://runapi.ai/pl/models/qwen/qwen3.5-397b-a17b tr: https://runapi.ai/tr/models/qwen/qwen3.5-397b-a17b zh-TW: https://runapi.ai/zh-TW/models/qwen/qwen3.5-397b-a17b zh-HK: https://runapi.ai/zh-HK/models/qwen/qwen3.5-397b-a17b ar: https://runapi.ai/ar/models/qwen/qwen3.5-397b-a17b x-default: https://runapi.ai/models/qwen/qwen3.5-397b-a17b model: Qwen provider: Alibaba variant_id: qwen3.5-397b-a17b sdk_model_id: qwen3.5-397b-a17b modality: text billing_unit: 1K tokens status: active --- > HTML version: https://runapi.ai/models/qwen/qwen3.5-397b-a17b > Site index for agents: https://runapi.ai/llms.txt # qwen3.5-397b-a17b API Call qwen3.5-397b-a17b from the Qwen family through RunAPI. Billing is per token with no subscription, and a request that fails before its response starts is not charged. **Alibaba / [Qwen](https://runapi.ai/models/qwen.md)** **Operational · text · Commercial OK** ## What Qwen3.5-397B-A17B is built for Qwen3.5-397B-A17B is the flagship open-weight model of Alibaba's Qwen3.5 generation, released under Apache 2.0 on February 16, 2026. It is a native vision-language model that combines hybrid linear attention with a sparse Mixture-of-Experts design: 397B total parameters and 17B active per token. Alibaba targets it at language, reasoning, coding, agents, image and video understanding, and GUI interaction. It is a hybrid model with thinking and non-thinking modes, and Alibaba's API turns thinking on by default. The context window is 262,144 tokens, with up to 65,536 output tokens. Alibaba lists function calling and structured outputs as supported. On RunAPI, call qwen3.5-397b-a17b through the OpenAI-compatible Chat Completions endpoint (/v1/chat/completions) with an OpenAI SDK pointed at https://runapi.ai/v1. Images go in image_url parts inside messages[].content[], and tools use the standard OpenAI tools format. **Model ID:** qwen3.5-397b-a17b **Released:** February 16, 2026 **Architecture:** MoE, 397B total / 17B active, Apache 2.0 weights **Context window:** 262,144 tokens **Max output:** 65,536 tokens **Thinking:** Hybrid, on by default **Endpoint on RunAPI:** OpenAI Chat Completions, text and image input ## Try Qwen3.5-397B-A17B Pick any model and generate in seconds. **Model:** - **Chat completion** — `chat_completion` · `qwen3.5-397b-a17b` · Input $0.60 / 1M tokens | Output $3.60 / 1M tokens **Prompt:** Describe what you want to create... **Estimated:** Input $0.60 / 1M tokens | Output $3.60 / 1M tokens - [Generate](https://runapi.ai/login) Sign in to generate with RunAPI. ### Switch variant - [qwen3-coder-next](https://runapi.ai/models/qwen/qwen3-coder-next.md) - [qwen3-vl-235b-a22b-instruct](https://runapi.ai/models/qwen/qwen3-vl-235b-a22b-instruct.md) - [qwen3-vl-235b-a22b-thinking](https://runapi.ai/models/qwen/qwen3-vl-235b-a22b-thinking.md) - [qwen3.5-122b-a10b](https://runapi.ai/models/qwen/qwen3.5-122b-a10b.md) - [qwen3.5-27b](https://runapi.ai/models/qwen/qwen3.5-27b.md) - [qwen3.5-35b-a3b](https://runapi.ai/models/qwen/qwen3.5-35b-a3b.md) - **qwen3.5-397b-a17b** (current) - [qwen3.6-27b](https://runapi.ai/models/qwen/qwen3.6-27b.md) - [qwen3.6-35b-a3b](https://runapi.ai/models/qwen/qwen3.6-35b-a3b.md) 9 versions available qwen3.5-397b-a17b is one of the Qwen models on RunAPI. It uses the same API key as every other model, and you switch to it by changing the model ID in your request. Each call is synchronous and billed in USD by input, output, and cache tokens, with no subscription or minimum spend. A request that fails before the response starts is not charged; once a response is streaming, the tokens already generated are billed, even if the client disconnects. - Per-token billing in USD with no subscription - No charge when a request fails before its response starts - Token-by-token streaming - Switch models by changing one model ID - One API key and one bill for every model and provider ## Usage metrics - **API Calls / Day:** 6 - **Success Rate:** 100.0% - **Avg Generation:** 10.6s Verified customer feedback is not available for this model yet. ## Technical details | Field | Value | |---|---| | Provider | Alibaba | | Model ID | qwen3.5-397b-a17b | | Modality | Text | | Task types | Synchronous | | API endpoint | `/v1/chat/completions` | | | `/v1/responses` | | | `/v1/messages` | | | `/v1beta/models/qwen3.5-397b-a17b:generateContent` | | | `/v1beta/models/qwen3.5-397b-a17b:streamGenerateContent` | | Billing unit | 1K tokens | | Catalog status | Operational | **HOW IT WORKS** ## Use This Model in 3 Steps 1. **Get Your Key** - Sign up for free and create an API key for qwen3.5-397b-a17b from the dashboard. 2. **Send a Request** - POST to /v1/chat/completions with the qwen3.5-397b-a17b model slug and your parameters. 3. **Get Results** - Read the completed qwen3.5-397b-a17b response directly from the endpoint. ## What this model offers - **Endpoint coverage** — Exposes 1 public endpoint(s): chat_completion. - **Usage-based billing** — Metered by 1K tokens with no subscription requirement. ## Qwen3.5-397B-A17B Pricing | Endpoint | Price | |---|---| | `chat_completion` | Input: $0.60 / 1M tokens
Output: $3.60 / 1M tokens | **API REFERENCE** ## Endpoint Specification | Field | Value | |---|---| | Endpoint | `POST /v1/chat/completions` | | Model ID | `qwen3.5-397b-a17b` | | Task Types | `chat_completion` | ## Request parameters No request parameters are published for this endpoint. **Request example** ```json { "model": "qwen3.5-397b-a17b", "messages": [ { "role": "user", "content": "Read this screenshot of a failing dashboard, explain what the error message means, and suggest the code change that would fix it." } ] } ``` ### Model skill — qwen3.5-397b-a17b Install the skill once, then use the variant ID from this page while building. Base URL: `https://runapi.ai` | Endpoint | Protocol | |---|---| | `POST /v1/chat/completions` | OpenAI compatible | | `POST /v1/responses` | OpenAI Responses | | `POST /v1/messages` | Anthropic compatible | | `POST /v1beta/models/qwen3.5-397b-a17b:generateContent` | Gemini generateContent | | `POST /v1beta/models/qwen3.5-397b-a17b:streamGenerateContent` | Gemini streamGenerateContent | Use the OpenAI / Anthropic / Google Gen AI SDK with your RunAPI API key and `model: "qwen3.5-397b-a17b"`. ### Use qwen3.5-397b-a17b with a model skill 1. **Install** — Install the model skill for the Qwen line. It loads docs, request formats, and pricing notes into your coding workspace. 2. **Configure** — Point your SDK at https://runapi.ai and set your RunAPI API key. The same key works for every model and provider. 3. **Call** — Send a request in an API format this model supports, with the model field set to the model ID on this page. RunAPI forwards it to the provider. 4. **Receive** — Read the response from the same call, or stream it as it is generated. The usage field shows the tokens you are billed for. ### What's different about qwen3.5-397b-a17b - **VS QWEN3-CODER-NEXT: Flagship open-weight Qwen3.5 vision MoE (17B active); 256K context; OpenAI-compatible API** — Open-weight Qwen coding model for agents (3B active); 256K context; OpenAI-compatible API - **VS QWEN3-VL-235B-A22B-INSTRUCT: Flagship open-weight Qwen3.5 vision MoE (17B active); 256K context; OpenAI-compatible API** — Qwen3-VL vision MoE with direct answers; 131K context; image input via OpenAI-compatible API - **VS QWEN3-VL-235B-A22B-THINKING: Flagship open-weight Qwen3.5 vision MoE (17B active); 256K context; OpenAI-compatible API** — Thinking-only Qwen3-VL vision MoE; 131K context; image input via OpenAI-compatible API ## USE CASES **Customer support** Answer customer questions from a private knowledge base, reducing ticket volume. **Document analysis** Draft contract summaries and flag key clauses for attorney review. **Code generation** Auto-generate unit tests, code reviews, and refactoring suggestions in CI. ## Frequently asked questions about Qwen3.5-397B-A17B ### Which Qwen3.5 model should I choose? Qwen3.5-397B-A17B is the largest. Alibaba ranks Qwen3.5-122B-A10B second, rates Qwen3.5-27B as comparable to the 122B model overall, and rates Qwen3.5-35B-A3B as comparable to the 27B model. All four have a 262,144-token context window and accept images. ### Can Qwen3.5-397B-A17B read images? Yes. It is a native vision-language model. On RunAPI, send image_url parts with your text in a Chat Completions request. Alibaba also lists video input; video requests are not verified on RunAPI. ### Does Qwen3.5-397B-A17B support function calling? Yes. Alibaba lists function calling and structured outputs as supported. On RunAPI, send tools in the OpenAI format on Chat Completions and read tool_calls from the response. ### Is Qwen3.5-397B-A17B the newest Qwen model? No. Alibaba has released Qwen3.6 since and now lists the Qwen3.5 models among its previous-generation models, though it still serves them. Qwen reports that Qwen3.6-27B, also on RunAPI, surpasses Qwen3.5-397B-A17B in agentic coding. ### How do I select qwen3.5-397b-a17b? Pass the model ID shown in the quickstart. ### What's the rate limit on this variant? Per-key rate limits scale with your usage tier. The pricing page shows current limits. If you need higher throughput, contact support to discuss tier upgrades. ### Can I switch variants later? Yes. Variant is a parameter in the request. Switch by changing the model ID — no code changes, no re-authentication, no separate billing setup. All variants share the same API key and request shape. ### Does it stream? Where streaming is available, RunAPI streams end-to-end. LLM models support token-level streaming. Media models use async task polling or webhook callbacks for result delivery. ### Where do I report quality issues? Open an issue on the public GitHub repo or email support at contact@runapi.ai. Include the task ID and model ID so the team can investigate the specific generation. ### Do I need a separate provider account? No. Your RunAPI API key is enough to access this variant and every other model in the catalog. You do not need accounts with the underlying provider. ### RELATED - [qwen3.5-35b-a3b](https://runapi.ai/models/qwen/qwen3.5-35b-a3b.md) — by Alibaba · Input $0.25 / 1M tokens | Output $2.00 / 1M tokens - [qwen3.5-27b](https://runapi.ai/models/qwen/qwen3.5-27b.md) — by Alibaba · Input $0.30 / 1M tokens | Output $2.40 / 1M tokens - [qwen3.6-35b-a3b](https://runapi.ai/models/qwen/qwen3.6-35b-a3b.md) — by Alibaba · Input $0.38 / 1M tokens | Output $2.25 / 1M tokens - [qwen3.5-122b-a10b](https://runapi.ai/models/qwen/qwen3.5-122b-a10b.md) — by Alibaba · Input $0.40 / 1M tokens | Output $3.20 / 1M tokens ### Start building with Qwen. - [Create free account](https://runapi.ai/login) - [Read the quickstart →](https://runapi.ai/docs/api/openai/chat-completions) ## Building with a team? We're here to help with enterprise setup, integrations, and technical questions. [Contact Us](https://runapi.ai/contact.md) --- ## More from RunAPI - [Home](https://runapi.ai/.md) ### Product - [Model Catalog](https://runapi.ai/models.md) - [Pricing](https://runapi.ai/pricing.md) - [Providers](https://runapi.ai/models#all-models) ### Developers - [Documentation](https://runapi.ai/docs/guides) - [SDKs](https://runapi.ai/sdk.md) - [CLI](https://runapi.ai/cli.md) - [MCP Server](https://runapi.ai/mcp.md) - [x402](https://runapi.ai/x402.md) ### Guides - [Claude Code vs Cursor](https://runapi.ai/claude-code-vs-cursor.md) - [Cursor API Setup](https://runapi.ai/cursor-api-setup.md) - [RunAPI vs OpenRouter](https://runapi.ai/openrouter-alternative.md) ### Company - [Enterprise](https://runapi.ai/contact.md) - [Contact](https://runapi.ai/contact.md) ### Legal - [Terms](https://runapi.ai/terms.md) - [Privacy](https://runapi.ai/privacy.md) - [Site index for agents](https://runapi.ai/llms.txt) Contact: contact@runapi.ai ## Structured data ```json [ { "@context": "https://schema.org", "inLanguage": "en", "@type": "WebSite", "name": "RunAPI", "url": "https://runapi.ai/", "potentialAction": { "@type": "SearchAction", "target": { "@type": "EntryPoint", "urlTemplate": "https://runapi.ai/models?q={search_term_string}" }, "query-input": "required name=search_term_string" } }, { "@context": "https://schema.org", "inLanguage": "en", "@type": "Organization", "name": "RunAPI", "url": "https://runapi.ai/", "logo": { "@type": "ImageObject", "url": "https://runapi.ai/icon.svg" }, "sameAs": [ "https://github.com/runapi-ai" ] }, { "@context": "https://schema.org", "inLanguage": "en", "@type": "SoftwareApplication", "name": "Qwen qwen3.5-397b-a17b", "applicationCategory": "DeveloperApplication" }, { "@context": "https://schema.org", "inLanguage": "en", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://runapi.ai/" }, { "@type": "ListItem", "position": 2, "name": "Models", "item": "https://runapi.ai/models" }, { "@type": "ListItem", "position": 3, "name": "Qwen", "item": "https://runapi.ai/models/qwen" }, { "@type": "ListItem", "position": 4, "name": "qwen3.5-397b-a17b", "item": "https://runapi.ai/models/qwen/qwen3.5-397b-a17b" } ] }, { "@context": "https://schema.org", "inLanguage": "en", "@type": "HowTo", "name": "Use qwen3.5-397b-a17b with a model skill", "description": "Call qwen3.5-397b-a17b from the Qwen family through RunAPI: per-token pricing, model ID, supported API formats, and setup guide.", "totalTime": "PT5M", "step": [ { "@type": "HowToStep", "position": 1, "name": "Install", "text": "Install the model skill for the Qwen line. It loads docs, request formats, and pricing notes into your coding workspace.", "url": "https://runapi.ai/models/qwen/qwen3.5-397b-a17b#how-step-1" }, { "@type": "HowToStep", "position": 2, "name": "Configure", "text": "Point your SDK at https://runapi.ai and set your RunAPI API key. The same key works for every model and provider.", "url": "https://runapi.ai/models/qwen/qwen3.5-397b-a17b#how-step-2" }, { "@type": "HowToStep", "position": 3, "name": "Call", "text": "Send a request in an API format this model supports, with the model field set to the model ID on this page. RunAPI forwards it to the provider.", "url": "https://runapi.ai/models/qwen/qwen3.5-397b-a17b#how-step-3" }, { "@type": "HowToStep", "position": 4, "name": "Receive", "text": "Read the response from the same call, or stream it as it is generated. The usage field shows the tokens you are billed for.", "url": "https://runapi.ai/models/qwen/qwen3.5-397b-a17b#how-step-4" } ] }, { "@context": "https://schema.org", "inLanguage": "en", "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Which Qwen3.5 model should I choose?", "acceptedAnswer": { "@type": "Answer", "text": "Qwen3.5-397B-A17B is the largest. Alibaba ranks Qwen3.5-122B-A10B second, rates Qwen3.5-27B as comparable to the 122B model overall, and rates Qwen3.5-35B-A3B as comparable to the 27B model. All four have a 262,144-token context window and accept images." } }, { "@type": "Question", "name": "Can Qwen3.5-397B-A17B read images?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. It is a native vision-language model. On RunAPI, send image_url parts with your text in a Chat Completions request. Alibaba also lists video input; video requests are not verified on RunAPI." } }, { "@type": "Question", "name": "Does Qwen3.5-397B-A17B support function calling?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. Alibaba lists function calling and structured outputs as supported. On RunAPI, send tools in the OpenAI format on Chat Completions and read tool_calls from the response." } }, { "@type": "Question", "name": "Is Qwen3.5-397B-A17B the newest Qwen model?", "acceptedAnswer": { "@type": "Answer", "text": "No. Alibaba has released Qwen3.6 since and now lists the Qwen3.5 models among its previous-generation models, though it still serves them. Qwen reports that Qwen3.6-27B, also on RunAPI, surpasses Qwen3.5-397B-A17B in agentic coding." } }, { "@type": "Question", "name": "How do I select qwen3.5-397b-a17b?", "acceptedAnswer": { "@type": "Answer", "text": "Pass the model ID shown in the quickstart." } }, { "@type": "Question", "name": "What's the rate limit on this variant?", "acceptedAnswer": { "@type": "Answer", "text": "Per-key rate limits scale with your usage tier. The pricing page shows current limits. If you need higher throughput, contact support to discuss tier upgrades." } }, { "@type": "Question", "name": "Can I switch variants later?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. Variant is a parameter in the request. Switch by changing the model ID — no code changes, no re-authentication, no separate billing setup. All variants share the same API key and request shape." } }, { "@type": "Question", "name": "Does it stream?", "acceptedAnswer": { "@type": "Answer", "text": "Where streaming is available, RunAPI streams end-to-end. LLM models support token-level streaming. Media models use async task polling or webhook callbacks for result delivery." } }, { "@type": "Question", "name": "Where do I report quality issues?", "acceptedAnswer": { "@type": "Answer", "text": "Open an issue on the public GitHub repo or email support at contact@runapi.ai. Include the task ID and model ID so the team can investigate the specific generation." } }, { "@type": "Question", "name": "Do I need a separate provider account?", "acceptedAnswer": { "@type": "Answer", "text": "No. Your RunAPI API key is enough to access this variant and every other model in the catalog. You do not need accounts with the underlying provider." } } ] } ] ```