Qwen: Qwen3 14B
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. $0.10 per million input tokens, $0.24 per million output tokens. 131,702 token context window, maximum output of 40,960 tokens. Higher uptime with 3 providers. Includes independent benchmarks from Artificial Analysis.
- Tool Use
- Explicit Caching
- Implicit Caching
main.py
from openai import OpenAI client = OpenAI( base_url="https://api.respan.ai/api/", api_key="YOUR_RESPAN_API_KEY",) response = client.chat.completions.create( model="openrouter/qwen/qwen3-14b", messages=[{"role": "user", "content": "Hello!"}],)print(response.choices[0].message.content)from openai import OpenAI client = OpenAI( base_url="https://api.respan.ai/api/", api_key="YOUR_RESPAN_API_KEY",) response = client.chat.completions.create( model="openrouter/qwen/qwen3-14b", messages=[{"role": "user", "content": "Hello!"}],)print(response.choices[0].message.content)Providers
Gateway routes for this model on the Respan gateway, including fallback routes when configured.
Similar
Other models from the same provider available through the gateway.
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