> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.empiriolabs.ai/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.empiriolabs.ai/_mcp/server. # Qwen3.5 Plus > Multimodal model with hybrid architecture for efficient deep thinking and visual understanding across text, image, and video on a 1M context. ![Qwen3.5 Plus](https://media.empiriolabs.ai/model-logos/qwen.png) [Alibaba Cloud](/providers/alibaba) · Text Generation `POST /v1/chat/completions` Multimodal model with hybrid architecture for efficient deep thinking and visual understanding across text, image, and video on a 1M context. > **Warning** > > This model is **deprecated** and will be retired on **2027-01-19**. After that date, requests to this model will fail. Migrate to a successor model before then. ## At a glance | Field | Value | | ------------------- | -------------------------------------------------------------------------------------------------------------------------- | | Model id | `qwen3-5-plus` | | Model release date | 2026-02-16 | | Input modalities | Text, Image, Video | | Output modalities | Text | | Context window | 1M | | Weight precision | - | | Max output tokens | 65,536 | | Region | Singapore | | Features | vision, web_search, code_interpreter, function_calling, reasoning | | Native inference | No | | New | No | | Structured output | JSON Mode | | Supported endpoints | `POST /v1/chat/completions`, `POST /v1/responses`, `POST /v1/messages`, `POST /v1beta/models/qwen3-5-plus:generateContent` | | Alternate model ids | `qwen3.5-plus` | | Deprecation date | **2027-01-19** | ## Pricing | Charge | Spec | Rate | | --------------------- | ----------------------- | ---------------------------------------------------- | | Input | per 1M prompt tokens | \<=256K ~~\$0.40~~ \$0.36; 256K-1M ~~\$1.20~~ \$1.08 | | Output | per 1M generated tokens | \<=256K ~~\$2.40~~ \$2.21; 256K-1M ~~\$7.20~~ \$6.62 | | Web search | per call when invoked | \$0.015 | | Text-to-image search | per call when invoked | \$0.012 | | Image-to-image search | per call when invoked | \$0.012 | | Web extractor | per call when invoked | \$0.00 | | Code interpreter | per call when invoked | \$0.00 | ## Example request ```bash curl https://api.empiriolabs.ai/v1/chat/completions \ -H 'Authorization: Bearer $EMPIRIOLABS_API_KEY' \ -H 'Content-Type: application/json' \ -d '{"model": "qwen3-5-plus", "messages": [{"role":"user","content":"Hello"}]}' ``` ## Parameters | Parameter | Type | Required | Default | Description | | --------------------------- | ------- | -------- | --------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `temperature` | number | no | `0.7` | Sampling temperature. 0 is deterministic and 2 is maximum randomness. · Range: 0 – 2 | | `top_p` | number | no | `0.9` | Nucleus sampling probability mass. Lower values make outputs more focused. · Range: 0 – 1 | | `max_tokens` | number | no | - | Maximum output tokens. When omitted, the model's own default applies. · Range: 1 – 65536 | | `stop` | string | no | - | Up to 4 strings where the model will stop generating further tokens. | | `enable_thinking` | boolean | no | true | Enable reasoning before answering. A request that forces a tool call runs without reasoning unless it sets enable_thinking. | | `thinking_budget` | number | no | - | Maximum tokens reserved for reasoning when thinking is enabled. When omitted, the model decides how long to reason. · Range: 1 – 81920 | | `vl_high_resolution_images` | boolean | no | true | Use higher resolution processing for image inputs. Applies when no built-in tool is enabled, and not on /v1/responses. | | `max_pixels` | number | no | `2621440` | Maximum pixel count per image when high resolution processing is disabled. · Range: 4096 – 16777216 | | `video_fps` | number | no | `2` | Frames per second to sample from video inputs. · Range: 0.1 – 10 | | `treat_images_as_video` | boolean | no | false | Treat a sequence of images as video frames. | | `tool_web_search` | boolean | no | false | Search the web for real-time information. Adds \$0.015 to the request cost for each invoked call. Not used when the request also has function tools, response_format or video input. | | `tool_web_extractor` | boolean | no | false | Extract and read content from URLs. Requires Web Search and Thinking. Not used when the request also has function tools, response_format or video input. | | `tool_code_interpreter` | boolean | no | false | Run Python code in a sandbox. Requires Thinking. Not used when the request also has function tools, response_format or video input. | | `tool_web_search_image` | boolean | no | false | Search the web for images from text descriptions. Adds \$0.012 to the request cost for each invoked call. Not used when the request also has function tools, response_format or video input. | | `tool_image_search` | boolean | no | false | Find similar images from an uploaded image. Adds \$0.012 to the request cost for each invoked call. Not used when the request also has function tools, response_format or video input. | | `response_format` | enum | no | - | Return the output as a valid JSON object (JSON mode). Describe the fields you want in your prompt. | | `disable_formatting` | boolean | no | false | Return the answer without EmpirioLabs formatting: citations stay as plain \[N] markers and no References block is added. Applies to streamed responses that use a built-in tool. | ## Notes Pricing is 3x for input/output above 256K tokens. Built-in tools (web search, web extractor, code interpreter, image search) billed only when invoked. Text-to-Image Search and Image-to-Image Search use the Image Search pricing row. Each invoked image search is billed at that listed per-call rate. **Per-tool billing (`usage.tool_usage`)** When this model invokes tools (web search, code interpreter, etc.) inside a single request, the response carries a normalized `usage.tool_usage` map alongside the token counts. The example below shows the shape, exact field names, units, and which tools appear can vary slightly per provider: ```json "usage": { "prompt_tokens": 123, "completion_tokens": 456, "cost_usd": 0.0042, "tool_usage": {"web_search": 3, "code_interpreter": 1} } ``` The tool counts are already factored into `cost_usd`, they are surfaced for transparency so you can audit per-tool billing. The field is omitted when no tools were invoked. ## Variants ### `:variant1` | Field | Value | | ------------------- | ----------------------------------------------------------------------------------------------------------------------------------- | | Model id | `qwen3-5-plus:variant1` | | Model release date | 2026-02-16 | | Region | China | | Context window | 1M | | Weight precision | - | | Max output tokens | 65,536 | | Features | reasoning, vision, video, web_search, function_calling, agentic_coding | | Native inference | No | | Structured output | JSON Mode | | Batch API | 35% off list price | | Supported endpoints | `POST /v1/chat/completions`, `POST /v1/responses`, `POST /v1/messages`, `POST /v1beta/models/qwen3-5-plus:variant1:generateContent` | **Pricing** | Charge | Spec | Rate | | ---------- | ------------------------ | ------------------------------------------------------------------------------------ | | Input | per 1M prompt tokens | \<=128K ~~\$0.36~~ \$0.115; 128K-256K ~~\$0.36~~ \$0.287; 256K-1M ~~\$1.08~~ \$0.573 | | Output | per 1M generated tokens | \<=128K ~~\$2.21~~ \$0.688; 128K-256K ~~\$2.21~~ \$1.72; 256K-1M ~~\$6.62~~ \$3.44 | | Web search | per request when enabled | \$0.01 | **Parameters** | Parameter | Type | Required | Default | Description | | --------------------------- | ------- | -------- | ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | `temperature` | number | no | `0.7` | Sampling temperature. 0 is deterministic and 2 is maximum randomness. · Range: 0 – 2 | | `top_p` | number | no | `0.9` | Nucleus sampling probability mass. Lower values make outputs more focused. · Range: 0 – 1 | | `max_tokens` | number | no | - | Maximum output tokens. When omitted, the model's own default applies. · Range: 1 – 65536 | | `stop` | string | no | - | Up to 4 strings where the model will stop generating further tokens. | | `enable_thinking` | boolean | no | true | Enable reasoning before answering. With response_format, the model answers without reasoning unless the request sets enable_thinking. A request that forces a tool call runs without reasoning unless it sets enable_thinking. | | `reasoning_effort` | enum | no | `"medium"` | Reasoning effort level. none disables thinking. low, medium, high, and max set bounded thinking budgets sized to the selected model. · Allowed: `none`, `low`, `medium`, `high`, `max` | | `thinking_budget` | number | no | `32768` | Maximum tokens reserved for reasoning when thinking is enabled. · Range: 1 – 80000 | | `vl_high_resolution_images` | boolean | no | - | Use higher resolution processing for image inputs. When omitted, the model's own default applies. | | `max_pixels` | number | no | `2621440` | Maximum pixel count per image when high resolution processing is disabled. · Range: 4096 – 16777216 | | `video_fps` | number | no | `2` | Frames per second to sample from video inputs. · Range: 0.1 – 10 | | `tool_web_search` | boolean | no | false | Search the web for real-time information. Adds \$0.01 to the request cost when enabled. | | `response_format` | enum | no | - | Return the output as a valid JSON object (JSON mode). Describe the fields you want in your prompt. | **Notes** Supports text, image, and video input. Web search is available through tool_web_search and adds \$0.01 per request when enabled. Thinking tokens are billed as output tokens. Explicit cache controls are not supported. --- *Machine-readable schema:* `GET https://api.empiriolabs.ai/v1/models/qwen3-5-plus`.