
Reasoning model with adaptive tool use (search, memory, code interpreter) and test-time scaling for higher accuracy on complex tasks.
Reasoning model with adaptive tool use (search, memory, code interpreter) and test-time scaling for higher accuracy on complex tasks.
qwen3-max-thinkingPOST /v1/chat/completionsPOST /v1/responsesPOST /v1/messagesLive pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
Qwen3 Max Thinking serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id qwen3-max-thinking. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-max-thinking",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.empiriolabs.ai/v1",
api_key="YOUR_EMPIRIOLABS_API_KEY",
)
response = client.chat.completions.create(
model="qwen3-max-thinking",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)Request parameters supported by the Qwen3 Max Thinking API on EmpirioLabs. Defaults apply when a field is omitted.
| Parameter | Type | Default | Range / values | Description |
|---|---|---|---|---|
| temperature | number | 0.7 | 0 to 2 | Sampling temperature. 0 = deterministic, 2 = maximum randomness. |
| top_p | number | 0.9 | 0 to 1 | Nucleus sampling probability mass. Lower = more focused. |
| max_tokens | number | 4096 | 1 to 65536 | Maximum tokens in the response. |
| stop | string | - | - | Up to 4 strings where the model will stop generating further tokens. |
| enable_thinking | boolean | true | - | Enable extended thinking mode. Slower but improves reasoning-heavy tasks. |
| tool_web_search | boolean | false | - | Allow the model to perform web searches when needed. |
| web_search_mode | enum | standard | standard, thorough | standard = single search, thorough = multiple deeper searches. |
| tool_code_interpreter | boolean | true | - | Allow the model to execute Python code in a sandbox to compute / analyze data. |
| tool_web_extractor | boolean | true | - | Allow the model to fetch and read content from URLs it discovers. |
| disable_formatting | boolean | false | - | Skip the EmpirioLabs Markdown formatting (citation [[N]](url) rewriting + References block when web search / tools were used). The raw upstream answer with plain [N]... |
Web search modes: Standard (efficient) or Thorough (comprehensive, requires thinking).
On EmpirioLabs, Qwen3 Max Thinking is billed pay as you go: Input <=32K $1.08 (was $1.20); 32K-128K $2.16 (was $2.40); 128K-256K $2.70 (was $3.00) per 1M prompt tokens; Output <=32K $5.52 (was $6.00); 32K-128K $11.04 (was $12.00); 128K-256K $13.80 (was $15.00) per 1M generated tokens; Web Search $0.015 per request. The live rate card on this page always matches what the API charges.
Qwen3 Max Thinking supports a 256K-token context window with up to 65,536 output tokens per response.
Yes. Qwen3 Max Thinking serves the OpenAI-compatible Chat Completions API, so existing OpenAI SDKs work by pointing base_url at https://api.empiriolabs.ai/v1 and setting the model id to qwen3-max-thinking.
Yes. The EmpirioLabs playground runs Qwen3 Max Thinking in the browser with the same parameters the API exposes, so you can test prompts before writing code.
Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.
Explore our models, or contact us about business inquiries, custom deployments, or anything else.