Qwen2 VL 7B Instruct API Pricing
As of October 10, 2026, Qwen2 VL 7B Instruct costs $0.02 per 1M input tokens and $0.06 per 1M output tokens from Nebius AI Studio, the lowest of 2 providers. It has a 131,072-token context window and returns up to 131,072 tokens per response.
- Input
- $0.02 / 1M tokens
- Output
- $0.06 / 1M tokens
- Context window
- 131,072 tokens
- Max output
- 131,072 tokens
- Providers
- 2
- Added to LiteLLM
- December 2025
Qwen2 VL 7B Instruct pricing by provider
2 listings across 2 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 |
|---|---|---|---|---|
| Nebius AI Studio | nebius/Qwen/Qwen2-VL-7B-Instruct | $0.02 | $0.06 | 128K |
| Fireworks AI | fireworks_ai/accounts/fireworks/models/qwen2-vl-7b-instruct | $0.20 | $0.20 | 32K |
What Qwen2 VL 7B Instruct costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Nebius AI Studio | $0.07 |
| Fireworks AI | $0.50 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Nebius AI Studio | $0.212 |
| Fireworks AI | $2.04 |
Qwen2 VL 7B Instruct features
- Image input
Use Qwen2 VL 7B Instruct with LiteLLM
Call Qwen2 VL 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="nebius/Qwen/Qwen2-VL-7B-Instruct",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen2-vl-7b-instruct
litellm_params:
model: nebius/Qwen/Qwen2-VL-7B-Instruct
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "qwen2-vl-7b-instruct",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen2 VL 7B Instruct FAQ
How much does Qwen2 VL 7B Instruct cost?
Qwen2 VL 7B Instruct costs $0.02 per 1M input tokens and $0.06 per 1M output tokens from Nebius AI Studio, the lowest of 2 providers.
What is the context window of Qwen2 VL 7B Instruct?
Qwen2 VL 7B Instruct has a 131,072-token context window and returns up to 131,072 tokens per response.
Which providers offer Qwen2 VL 7B Instruct?
Qwen2 VL 7B Instruct is available from 2 providers through LiteLLM: Nebius AI Studio and Fireworks AI. The lowest price is on Nebius AI Studio.
How do I call Qwen2 VL 7B Instruct with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="nebius/Qwen/Qwen2-VL-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 VL 7B Instruct support?
Qwen2 VL 7B Instruct supports image input.
When did LiteLLM add Qwen2 VL 7B Instruct?
Qwen2 VL 7B Instruct 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. Provider pricing pages:
LiteLLM docs: Nebius AI Studio, Fireworks AI.
Provider pages: Nebius AI Studio, Fireworks AI.
