Qwen2p5 72B API Pricing
As of October 10, 2026, Qwen2p5 72B costs $0.90 per 1M input tokens and $0.90 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
- $0.90 / 1M tokens
- Output
- $0.90 / 1M tokens
- Context window
- 131,072 tokens
- Max output
- 131,072 tokens
- Providers
- 1
- Added to LiteLLM
- December 2025
Qwen2p5 72B 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/qwen2p5-72b | $0.90 | $0.90 | 128K |
What Qwen2p5 72B costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Fireworks AI | $2.25 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Fireworks AI | $9.18 |
Use Qwen2p5 72B with LiteLLM
Call Qwen2p5 72B 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/qwen2p5-72b",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen2p5-72b
litellm_params:
model: fireworks_ai/accounts/fireworks/models/qwen2p5-72b
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": "qwen2p5-72b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen2p5 72B FAQ
How much does Qwen2p5 72B cost?
Qwen2p5 72B costs $0.90 per 1M input tokens and $0.90 per 1M output tokens on Fireworks AI.
What is the context window of Qwen2p5 72B?
Qwen2p5 72B has a 131,072-token context window and returns up to 131,072 tokens per response.
Which providers offer Qwen2p5 72B?
Qwen2p5 72B is available from Fireworks AI through LiteLLM, using the model name fireworks_ai/accounts/fireworks/models/qwen2p5-72b.
How do I call Qwen2p5 72B with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="fireworks_ai/accounts/fireworks/models/qwen2p5-72b", 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 Qwen2p5 72B?
Qwen2p5 72B 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.
