Qwen3 1p7b API Pricing
As of October 10, 2026, Qwen3 1p7b costs $0.10 per 1M input tokens and $0.10 per 1M output tokens on Fireworks AI. It has a 131,072-token context window and returns up to 131,072 tokens per response.
- Input
- $0.10 / 1M tokens
- Output
- $0.10 / 1M tokens
- Context window
- 131,072 tokens
- Max output
- 131,072 tokens
- Providers
- 1
- Added to LiteLLM
- December 2025
Qwen3 1p7b 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 | Input | Output | Context |
|---|---|---|---|---|
| Fireworks AI | fireworks_ai/accounts/fireworks/models/qwen3-1p7b | $0.10 | $0.10 | 128K |
What Qwen3 1p7b costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Fireworks AI | $0.25 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Fireworks AI | $1.02 |
Use Qwen3 1p7b with LiteLLM
Call Qwen3 1p7b 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="fireworks_ai/accounts/fireworks/models/qwen3-1p7b",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen3-1p7b
litellm_params:
model: fireworks_ai/accounts/fireworks/models/qwen3-1p7b
api_key: os.environ/FIREWORKS_AI_API_KEYcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "qwen3-1p7b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen3 1p7b FAQ
How much does Qwen3 1p7b cost?
Qwen3 1p7b costs $0.10 per 1M input tokens and $0.10 per 1M output tokens on Fireworks AI.
What is the context window of Qwen3 1p7b?
Qwen3 1p7b has a 131,072-token context window and returns up to 131,072 tokens per response.
Which providers offer Qwen3 1p7b?
Qwen3 1p7b is available from Fireworks AI through LiteLLM, using the model name fireworks_ai/accounts/fireworks/models/qwen3-1p7b.
How do I call Qwen3 1p7b with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="fireworks_ai/accounts/fireworks/models/qwen3-1p7b", 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.
When did LiteLLM add Qwen3 1p7b?
Qwen3 1p7b was added to LiteLLM's model price file in December 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: Fireworks AI.
Provider pages: Fireworks AI.
