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OpenKey

Qwen3 14B

QwenReleased Apr 28, 2025

Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

Try in playground
Context window
132K tokens
Max output
41K tokens
Input
text
Output
text
Tokenizer
Qwen3
Knowledge cutoff
Mar 31, 2025
Released
Apr 28, 2025
Reasoning
optional

Pricing

Per 1M tokens. The provider price and our flat 3% fee are separate columns — what you pay is their sum.

Per 1M tokensProvider+ 3% feeYou pay
Input$0.100$0.0030$0.103
Output$0.240$0.0072$0.247

Benchmarks

Artificial Analysis

Intelligence index
10.4
Coding index
13.8
Agentic index
1.8

Supported parameters

  • frequency_penalty
  • include_reasoning
  • logit_bias
  • logprobs
  • max_tokens
  • min_p
  • presence_penalty
  • reasoning
  • repetition_penalty
  • response_format
  • seed
  • stop
  • structured_outputs
  • temperature
  • tool_choice
  • tools
  • top_k
  • top_logprobs
  • top_p

Call it

OpenAI-compatible: point your SDK at api.openkey.ai/v1 and use model qwen/qwen3-14b.

Code sample language
curl https://api.openkey.ai/v1/chat/completions \
  -H "Authorization: Bearer $OPENKEY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-14b",
    "messages": [{"role": "user", "content": "Hello"}]
  }'
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.openkey.ai/v1",
    api_key=os.environ["OPENKEY_API_KEY"],
)

completion = client.chat.completions.create(
    model="qwen/qwen3-14b",
    messages=[{"role": "user", "content": "Hello"}],
)
print(completion.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.openkey.ai/v1",
  apiKey: process.env.OPENKEY_API_KEY,
});

const completion = await client.chat.completions.create({
  model: "qwen/qwen3-14b",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Qwen3 14B cost via API?
Through OpenKey, Qwen3 14B costs $0.103 per 1M input tokens and $0.247 per 1M output tokens. That is the provider price ($0.100 / $0.240) plus a flat 3% fee — nothing else.
What is Qwen3 14B's context window?
Qwen3 14B accepts up to 132K tokens of context and returns up to 41K tokens per request.
Is Qwen3 14B OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen3-14b" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen3 14B support?
Qwen3 14B accepts text input and produces text output. Its knowledge cutoff is Mar 31, 2025.

More from Qwen

All Qwen models →