Qwerky QwQ 32B API Pricing
Qwerky QwQ 32B is available through LiteLLM. It has a 32,768-token context window and returns up to 4,096 tokens per response.
- Context window
- 32,768 tokens
- Max output
- 4,096 tokens
- Providers
- 1
- Added to LiteLLM
- May 2025
Qwerky QwQ 32B 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.
| Provider | Model name in LiteLLM | Context |
|---|---|---|
| Featherless AI | featherless_ai/featherless-ai/Qwerky-QwQ-32B | 32K |
Use Qwerky QwQ 32B with LiteLLM
Call Qwerky QwQ 32B 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="featherless_ai/featherless-ai/Qwerky-QwQ-32B",
messages=[{"role": "user", "content": "Hello!"}],
)curl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "qwerky-qwq-32b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwerky QwQ 32B FAQ
What is the context window of Qwerky QwQ 32B?
Qwerky QwQ 32B has a 32,768-token context window and returns up to 4,096 tokens per response.
When did LiteLLM add Qwerky QwQ 32B?
Qwerky QwQ 32B was added to LiteLLM's model price file in May 2025.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request.
LiteLLM docs: Featherless AI.
Provider pages: Featherless AI.