LiteLLMModels

Qwen3.6 27B Thinking API Pricing

As of October 10, 2026, Qwen3.6 27B Thinking costs $0.15 per 1M input tokens and $0.50 per 1M output tokens on LibertAI. It has a 262,144-token context window and returns up to 262,144 tokens per response.

By AlibabaModel ID libertai/qwen3.6-27b-thinkingPrices updated Checked
Input
$0.15 / 1M tokens
Output
$0.50 / 1M tokens
Context window
262,144 tokens
Max output
262,144 tokens
Providers
1
Added to LiteLLM
June 2026

Qwen3.6 27B Thinking pricing by provider

1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputContext
LibertAIlibertai/qwen3.6-27b-thinking$0.15$0.50256K

What Qwen3.6 27B Thinking costs in practice

1,000 requests with 2,000 input and 500 output tokens each

LibertAI$0.55

100 long-document requests with 100,000 input and 2,000 output tokens each

LibertAI$1.60

Qwen3.6 27B Thinking features

Use Qwen3.6 27B Thinking with LiteLLM

Call Qwen3.6 27B Thinking through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.

Python SDK
from litellm import completion

response = completion(
    model="libertai/qwen3.6-27b-thinking",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: qwen3.6-27b-thinking
    litellm_params:
      model: libertai/qwen3.6-27b-thinking
      # credentials: see the provider's LiteLLM docs page
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "qwen3.6-27b-thinking",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Qwen3.6 27B Thinking FAQ

How much does Qwen3.6 27B Thinking cost?

Qwen3.6 27B Thinking costs $0.15 per 1M input tokens and $0.50 per 1M output tokens on LibertAI.

What is the context window of Qwen3.6 27B Thinking?

Qwen3.6 27B Thinking has a 262,144-token context window and returns up to 262,144 tokens per response.

Which providers offer Qwen3.6 27B Thinking?

Qwen3.6 27B Thinking is available from LibertAI through LiteLLM, using the model name libertai/qwen3.6-27b-thinking.

How do I call Qwen3.6 27B Thinking with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="libertai/qwen3.6-27b-thinking", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

What features does Qwen3.6 27B Thinking support?

Qwen3.6 27B Thinking supports function calling, image input and reasoning.

When did LiteLLM add Qwen3.6 27B Thinking?

Qwen3.6 27B Thinking was added to LiteLLM's model price file in June 2026.

Sources

Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:

LiteLLM docs: LibertAI.

Provider pages: LibertAI.