Qwen3.8 Max 0902 | EmpirioLabs AI Docs

POST /v1/chat/completions

Upgraded Qwen3.8 Max snapshot with stronger coding, steadier multi-tool agent runs, and sharper chart and document vision across a 1M-token context.

At a glance

Field	Value
Model id	`qwen3-8-max-0902`
Model release date	2026-09-02
Input modalities	Text, Image, Video
Output modalities	Text
Context window	1M
Weight precision	-
Max output tokens	131,072
Region	Singapore
Features	reasoning, vision, multimodal, web_search, code_interpreter, function_calling, structured_output, agentic_coding
Native inference	No
New	Yes
Structured output	JSON Schema
Supported endpoints	`POST /v1/chat/completions`, `POST /v1/responses`, `POST /v1/messages`, `POST /v1beta/models/qwen3-8-max-0902:generateContent`
Alternate model ids	`qwen3.8-max-0902`, `qwen3.8-max-2026-09-02`

Pricing

Charge	Spec	Rate
Input	per 1M prompt tokens	$2.00
Output	per 1M generated tokens	$6.00
Web search	per call when invoked	$0.02
Text-to-image search	per call when invoked	$0.02
Image-to-image search	per call when invoked	$0.02
Web extractor	per call when invoked	$0.00
Code interpreter	per call when invoked	$0.00

Example request

$ curl https://api.empiriolabs.ai/v1/chat/completions \
>   -H 'Authorization: Bearer $EMPIRIOLABS_API_KEY' \
>   -H 'Content-Type: application/json' \
>   -d '{"model": "qwen3-8-max-0902", "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	`4096`	Maximum output tokens. · Range: 1 – 131072
`stop`	string	no	-	Up to 4 strings where the model will stop generating further tokens.
`enable_thinking`	boolean	no	true	Enable reasoning before answering.
`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 – 262144
`vl_high_resolution_images`	boolean	no	true	Use higher resolution processing for image inputs.
`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 $0.02 to the request cost for each invoked call.
`tool_web_extractor`	boolean	no	false	Extract and read content from URLs. Requires Web Search and Thinking.
`tool_code_interpreter`	boolean	no	false	Run Python code in a sandbox. Requires Thinking.
`tool_web_search_image`	boolean	no	false	Search the web for images from text descriptions. Adds $0.02 to the request cost for each invoked call.
`tool_image_search`	boolean	no	false	Find similar images from an uploaded image. Adds $0.02 to the request cost for each invoked call.
`disable_formatting`	boolean	no	false	Return raw provider-style output without EmpirioLabs source formatting where supported.
`response_format`	enum	no	-	Constrain the output to valid JSON. Use JSON mode for any JSON object, or supply a JSON Schema to force an exact response shape.

Notes

Text, image, and video input are supported. Web search, web extractor, code interpreter, text-to-image search, and image-to-image search are optional built-in tools exposed through tool_* parameters. Web search, text-to-image search, and image-to-image search add $0.02 for each invoked call; web extractor and code interpreter run at no extra cost. Web extractor requires web search, and both web extractor and code interpreter require thinking. A single request can invoke a tool more than once, and each invoked call is billed. Thinking tokens are billed as output tokens. This id is pinned to the September 2, 2026 snapshot and will not change. The rolling qwen3-8-max id serves the same build since September 5, 2026 and will move to future snapshots.

Per-tool billing (usage.tool_usage)

When this model invokes built-in tools inside a single request, the response carries a normalized usage.tool_usage map alongside the token counts:

1 "usage": {
2   "prompt_tokens": 123,
3   "completion_tokens": 456,
4   "cost_usd": 0.0042,
5   "tool_usage": {"web_search": 3, "code_interpreter": 1}
6 }

Tool counts are already factored into cost_usd and are surfaced for transparency so you can audit per-tool billing. The field is omitted when no tools were invoked.

Machine-readable schema: GET https://api.empiriolabs.ai/v1/models/qwen3-8-max-0902.