Qwen2.5 7B Instruct Turbo API Pricing
As of October 10, 2026, Qwen2.5 7B Instruct Turbo costs $0.30 per 1M input tokens and $0.30 per 1M output tokens on Together AI. It has a 32,768-token context window.
- Input
- $0.30 / 1M tokens
- Output
- $0.30 / 1M tokens
- Context window
- 32,768 tokens
- Providers
- 1
- Added to LiteLLM
- April 2025
Qwen2.5 7B Instruct Turbo 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 |
|---|---|---|---|---|
| Together AI | together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo | $0.30 | $0.30 | 32K |
What Qwen2.5 7B Instruct Turbo costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Together AI | $0.75 |
Qwen2.5 7B Instruct Turbo features
- Function calling
- Parallel tool calls
- Structured output
Use Qwen2.5 7B Instruct Turbo with LiteLLM
Call Qwen2.5 7B Instruct Turbo 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="together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen2.5-7b-instruct-turbo
litellm_params:
model: together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo
api_key: os.environ/TOGETHERAI_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-turbo",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen2.5 7B Instruct Turbo FAQ
How much does Qwen2.5 7B Instruct Turbo cost?
Qwen2.5 7B Instruct Turbo costs $0.30 per 1M input tokens and $0.30 per 1M output tokens on Together AI.
What is the context window of Qwen2.5 7B Instruct Turbo?
Qwen2.5 7B Instruct Turbo has a 32,768-token context window.
Which providers offer Qwen2.5 7B Instruct Turbo?
Qwen2.5 7B Instruct Turbo is available from Together AI through LiteLLM, using the model name together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo.
How do I call Qwen2.5 7B Instruct Turbo with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo", 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 Turbo support?
Qwen2.5 7B Instruct Turbo supports function calling, parallel tool calls and structured output.
When did LiteLLM add Qwen2.5 7B Instruct Turbo?
Qwen2.5 7B Instruct Turbo was added to LiteLLM's model price file in April 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. Provider pricing pages:
LiteLLM docs: Together AI.
Provider pages: Together AI.
