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qwen3.8-max API pricing & access

qwen3.8-max API pricing: $1.71428571 per 1M tokens. qwen3.8-max. Supports text, image, video input and text output. Listed specifications foll…

qwen3.8-max API access

qwen3.8-max. Supports text, image, video input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.

Compare supported API endpoints and capabilities, then access qwen3.8-max through the unified API gateway.

Category
text
Context length
1000000 tokens
Maximum output
131072 tokens
Supported APIs
OpenAI Chat Completions API, Anthropic Messages API
API endpoints
POST /v1/chat/completions, POST /v1/messages
Input modalities
text, image, video
Output modalities
text
Capabilities
function calling, structured output, caching

qwen3.8-max API pricing

Base input price
$1.71428571 per 1M tokens
Base output price
$5.14285714 per 1M tokens

Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.

About qwen3.8-max

Qwen3.8 Max accepts text, images and video and returns text. Evaluate complex coding, long-document analysis and multi-step professional work, with documented tool calling and structured output.

Use fixed cases for the tasks described above. Integration follows the listed endpoint, selected route parameters and current group pricing; official capabilities do not establish acceptance for every channel. Compare qwen3.7-max.

Official reference 1, checked 2026-10-14.

Use cases and prompting

  1. Start with a minimal text request at the listed endpoint, retaining the exact model name.
  2. State goals, context and output format; leave room for the final answer after long inputs.
  3. Validate route-specific thinking or JSON parameters, then check both schema and task correctness.
  4. Compare fixed cases using completion quality, latency, usage and current group pricing; retain request IDs.

API documentation.

How to call qwen3.8-max

qwen3.8-max is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.

curl (OpenAI-compatible)

curl https://modelsok.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen3.8-max", "messages": [{"role": "user", "content": "Hello"}]}'

Python (openai SDK)

from openai import OpenAI

client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Python (anthropic SDK)

from anthropic import Anthropic

client = Anthropic(base_url="https://modelsok.com", api_key="YOUR_API_KEY")
message = client.messages.create(
    model="qwen3.8-max",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)

Frequently asked questions about qwen3.8-max

What is qwen3.8-max?

qwen3.8-max. Supports text, image, video input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.

How do I call qwen3.8-max?

Create an API key with access to qwen3.8-max, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is qwen3.8-max priced?

Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.

What is the context window of qwen3.8-max?

The model catalog lists a context window of 1000000 tokens. Check the selected endpoint for request limits.

What is the maximum output of qwen3.8-max?

The model catalog lists a maximum output of 131072 tokens. Your request settings may set a lower limit.

How should I evaluate qwen3.8-max for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.

Back to AI model API pricing