Qwen3 14B API Pricing
As of October 10, 2026, Qwen3 14B costs $0.08 per 1M input tokens and $0.24 per 1M output tokens from Nebius AI Studio, the lowest of 4 providers. It has a 32,768-token context window and returns up to 32,768 tokens per response.
- Input
- $0.08 / 1M tokens
- Output
- $0.24 / 1M tokens
- Context window
- 32,768 tokens
- Max output
- 32,768 tokens
- Providers
- 4
- Added to LiteLLM
- July 2025
Qwen3 14B pricing by provider
4 listings across 4 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/Qwen3-14B | $0.08 | $0.24 | 32K |
| DeepInfra | deepinfra/Qwen/Qwen3-14B | $0.12 | $0.24 | 40K |
| Fireworks AI | fireworks_ai/accounts/fireworks/models/qwen3-14b | $0.20 | $0.20 | 40K |
| Vercel AI Gateway | vercel_ai_gateway/alibaba/qwen-3-14b | $0.08 | $0.24 | 40K |
What Qwen3 14B costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Nebius AI Studio | $0.28 |
| Vercel AI Gateway | $0.28 |
| DeepInfra | $0.36 |
| Fireworks AI | $0.50 |
Qwen3 14B features
- Function calling
Use Qwen3 14B with LiteLLM
Call Qwen3 14B 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/Qwen3-14B",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: qwen3-14b
litellm_params:
model: nebius/Qwen/Qwen3-14B
# 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",
"messages": [{"role": "user", "content": "Hello!"}]
}'Qwen3 14B FAQ
How much does Qwen3 14B cost?
Qwen3 14B costs $0.08 per 1M input tokens and $0.24 per 1M output tokens from Nebius AI Studio, the lowest of 4 providers.
What is the context window of Qwen3 14B?
Qwen3 14B has a 32,768-token context window and returns up to 32,768 tokens per response.
Which providers offer Qwen3 14B?
Qwen3 14B is available from 4 providers through LiteLLM: Nebius AI Studio, DeepInfra, Fireworks AI and Vercel AI Gateway. The lowest price is on Nebius AI Studio.
How do I call Qwen3 14B with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="nebius/Qwen/Qwen3-14B", 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 support?
Qwen3 14B supports function calling.
When did LiteLLM add Qwen3 14B?
Qwen3 14B 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. Provider pricing pages:
LiteLLM docs: Nebius AI Studio, DeepInfra, Fireworks AI, Vercel AI Gateway.
Provider pages: Nebius AI Studio, DeepInfra, Fireworks AI, Vercel AI Gateway.
