Qwen2.5 7B Instruct API Pricing
As of October 10, 2026, Qwen2.5 7B Instruct costs $0.04 per 1M input tokens and $0.10 per 1M output tokens from DeepInfra, the lowest of 3 providers. It has a 32,768-token context window and returns up to 32,768 tokens per response.
- Input
- $0.04 / 1M tokens
- Output
- $0.10 / 1M tokens
- Context window
- 32,768 tokens
- Max output
- 32,768 tokens
- Providers
- 3
- Added to LiteLLM
- July 2025
Qwen2.5 7B Instruct pricing by provider
3 listings across 3 providers. 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 |
|---|---|---|---|---|
| DeepInfra | deepinfra/Qwen/Qwen2.5-7B-Instruct | $0.04 | $0.10 | 32K |
| Fireworks AI | fireworks_ai/accounts/fireworks/models/qwen2p5-7b-instruct | $0.20 | $0.20 | 32K |
| Novita AI | novita/qwen/qwen2.5-7b-instruct | $0.07 | $0.07 | 32K |
What Qwen2.5 7B Instruct costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| DeepInfra | $0.13 |
| Novita AI | $0.175 |
| Fireworks AI | $0.50 |
Qwen2.5 7B Instruct features
- Function calling
- Parallel tool calls
- Structured output
Use Qwen2.5 7B Instruct with LiteLLM
Call Qwen2.5 7B Instruct 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/Qwen2.5-7B-Instruct",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen2.5-7b-instruct
litellm_params:
model: deepinfra/Qwen/Qwen2.5-7B-Instruct
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": "qwen2.5-7b-instruct",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen2.5 7B Instruct FAQ
How much does Qwen2.5 7B Instruct cost?
Qwen2.5 7B Instruct costs $0.04 per 1M input tokens and $0.10 per 1M output tokens from DeepInfra, the lowest of 3 providers.
What is the context window of Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct has a 32,768-token context window and returns up to 32,768 tokens per response.
Which providers offer Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct is available from 3 providers through LiteLLM: DeepInfra, Fireworks AI and Novita AI. The lowest price is on DeepInfra.
How do I call Qwen2.5 7B Instruct with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="deepinfra/Qwen/Qwen2.5-7B-Instruct", 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 Qwen2.5 7B Instruct support?
Qwen2.5 7B Instruct supports function calling, parallel tool calls and structured output.
When did LiteLLM add Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct was added to LiteLLM's model price file in July 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: DeepInfra, Fireworks AI.
Provider pages: DeepInfra, Fireworks AI, Novita AI.
