Qwen1p5 72B Chat API Pricing
As of October 10, 2026, Qwen1p5 72B Chat costs $0.90 per 1M input tokens and $0.90 per 1M output tokens on Fireworks AI. It has a 32,768-token context window and returns up to 32,768 tokens per response.
- Input
- $0.90 / 1M tokens
- Output
- $0.90 / 1M tokens
- Context window
- 32,768 tokens
- Max output
- 32,768 tokens
- Providers
- 1
- Added to LiteLLM
- December 2025
Qwen1p5 72B Chat 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/qwen1p5-72b-chat | $0.90 | $0.90 | 32K |
What Qwen1p5 72B Chat costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Fireworks AI | $2.25 |
Use Qwen1p5 72B Chat with LiteLLM
Call Qwen1p5 72B Chat 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/qwen1p5-72b-chat",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen1p5-72b-chat
litellm_params:
model: fireworks_ai/accounts/fireworks/models/qwen1p5-72b-chat
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": "qwen1p5-72b-chat",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen1p5 72B Chat FAQ
How much does Qwen1p5 72B Chat cost?
Qwen1p5 72B Chat costs $0.90 per 1M input tokens and $0.90 per 1M output tokens on Fireworks AI.
What is the context window of Qwen1p5 72B Chat?
Qwen1p5 72B Chat has a 32,768-token context window and returns up to 32,768 tokens per response.
Which providers offer Qwen1p5 72B Chat?
Qwen1p5 72B Chat is available from Fireworks AI through LiteLLM, using the model name fireworks_ai/accounts/fireworks/models/qwen1p5-72b-chat.
How do I call Qwen1p5 72B Chat with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="fireworks_ai/accounts/fireworks/models/qwen1p5-72b-chat", 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 Qwen1p5 72B Chat?
Qwen1p5 72B Chat 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.
