Qwen3.5 27B API Pricing
As of October 10, 2026, Qwen3.5 27B costs $0.26 per 1M input tokens and $2.60 per 1M output tokens from DeepInfra, the lowest of 2 providers. It has a 262,144-token context window and returns up to 65,536 tokens per response.
- Input
- $0.26 / 1M tokens
- Output
- $2.60 / 1M tokens
- Context window
- 262,144 tokens
- Max output
- 65,536 tokens
- Providers
- 2
- Added to LiteLLM
- March 2026
Qwen3.5 27B pricing by provider
2 listings across 2 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
What Qwen3.5 27B costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| DeepInfra | $1.82 |
| Novita AI | $1.80 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| DeepInfra | $3.12 |
| Novita AI | $3.48 |
Qwen3.5 27B features
- Function calling
- Structured output
- Image input
- Reasoning
Use Qwen3.5 27B with LiteLLM
Call Qwen3.5 27B 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.
from litellm import completion
response = completion(
model="deepinfra/Qwen/Qwen3.5-27B",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen3.5-27b
litellm_params:
model: deepinfra/Qwen/Qwen3.5-27B
api_key: os.environ/DEEPINFRA_API_KEYcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "qwen3.5-27b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen3.5 27B FAQ
How much does Qwen3.5 27B cost?
Qwen3.5 27B costs $0.26 per 1M input tokens and $2.60 per 1M output tokens from DeepInfra, the lowest of 2 providers.
What is the context window of Qwen3.5 27B?
Qwen3.5 27B has a 262,144-token context window and returns up to 65,536 tokens per response.
Which providers offer Qwen3.5 27B?
Qwen3.5 27B is available from 2 providers through LiteLLM: DeepInfra and Novita AI. The lowest price is on DeepInfra.
How do I call Qwen3.5 27B with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="deepinfra/Qwen/Qwen3.5-27B", 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 Qwen3.5 27B support?
Qwen3.5 27B supports function calling, structured output, image input and reasoning.
When did LiteLLM add Qwen3.5 27B?
Qwen3.5 27B was added to LiteLLM's model price file in March 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: DeepInfra.