Qwen3 14B Instruct API Pricing
As of October 10, 2026, Qwen3 14B Instruct costs $0.05 per 1M input tokens and $0.22 per 1M output tokens on Weights & Biases. It has a 32,800-token context window.
wandb/OpenPipe/Qwen3-14B-Instruct.- Input
- $0.05 / 1M tokens
- Output
- $0.22 / 1M tokens
- Context window
- 32,800 tokens
- Providers
- 1
- Added to LiteLLM
- August 27, 2026
Qwen3 14B Instruct 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 |
|---|---|---|---|---|
| Weights & Biases | wandb/OpenPipe/Qwen3-14B-Instruct | $0.05 | $0.22 | 33K |
What Qwen3 14B Instruct costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Weights & Biases | $0.21 |
Qwen3 14B Instruct features
- Image input
Use Qwen3 14B Instruct with LiteLLM
Call Qwen3 14B 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="wandb/OpenPipe/Qwen3-14B-Instruct",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen3-14b-instruct
litellm_params:
model: wandb/OpenPipe/Qwen3-14B-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": "qwen3-14b-instruct",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen3 14B Instruct FAQ
How much does Qwen3 14B Instruct cost?
Qwen3 14B Instruct costs $0.05 per 1M input tokens and $0.22 per 1M output tokens on Weights & Biases.
What is the context window of Qwen3 14B Instruct?
Qwen3 14B Instruct has a 32,800-token context window.
Which providers offer Qwen3 14B Instruct?
Qwen3 14B Instruct is available from Weights & Biases through LiteLLM, using the model name wandb/OpenPipe/Qwen3-14B-Instruct.
How do I call Qwen3 14B Instruct with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="wandb/OpenPipe/Qwen3-14B-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 Qwen3 14B Instruct support?
It does not support image input.
When did LiteLLM add Qwen3 14B Instruct?
Qwen3 14B Instruct was added to LiteLLM's model price file on August 27, 2026.
Is Qwen3 14B Instruct being deprecated?
Weights & Biases deprecated wandb/OpenPipe/Qwen3-14B-Instruct on October 5, 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. Provider pricing pages:
LiteLLM docs: Weights & Biases.
Provider pages: Weights & Biases.
