Qwen3 VL 8B API Pricing
As of October 10, 2026, Qwen3 VL 8B costs $0.15 per 1M input tokens and $0.55 per 1M output tokens on LlamaGate. It has a 32,768-token context window and returns up to 8,192 tokens per response.
- Input
- $0.15 / 1M tokens
- Output
- $0.55 / 1M tokens
- Context window
- 32,768 tokens
- Max output
- 8,192 tokens
- Providers
- 1
- Added to LiteLLM
- January 2026
Qwen3 VL 8B 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 |
|---|---|---|---|---|
| LlamaGate | llamagate/qwen3-vl-8b | $0.15 | $0.55 | 32K |
What Qwen3 VL 8B costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| LlamaGate | $0.575 |
Qwen3 VL 8B features
- Function calling
- Structured output
- Image input
Use Qwen3 VL 8B with LiteLLM
Call Qwen3 VL 8B 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="llamagate/qwen3-vl-8b",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen3-vl-8b
litellm_params:
model: llamagate/qwen3-vl-8b
# 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": "qwen3-vl-8b",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen3 VL 8B FAQ
How much does Qwen3 VL 8B cost?
Qwen3 VL 8B costs $0.15 per 1M input tokens and $0.55 per 1M output tokens on LlamaGate.
What is the context window of Qwen3 VL 8B?
Qwen3 VL 8B has a 32,768-token context window and returns up to 8,192 tokens per response.
Which providers offer Qwen3 VL 8B?
Qwen3 VL 8B is available from LlamaGate through LiteLLM, using the model name llamagate/qwen3-vl-8b.
How do I call Qwen3 VL 8B with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="llamagate/qwen3-vl-8b", 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 Qwen3 VL 8B support?
Qwen3 VL 8B supports function calling, structured output and image input.
When did LiteLLM add Qwen3 VL 8B?
Qwen3 VL 8B was added to LiteLLM's model price file in January 2026.
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: LlamaGate.
Provider pages: LlamaGate.
