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OpenKey

Qwen3 30B A3B

QwenReleased Apr 28, 2025

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...

Try in playground
Context window
131K tokens
Max output
16K 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$0.120$0.0036$0.124
Output$0.500$0.015$0.515

Benchmarks

Design Arena

CategoryEloWin rateRank
Codemodels99137.5%#98
Data vizmodels101139%#88
Game devmodels96333.8%#99
UI componentsmodels100242.4%#89
Websitesmodels99737.7%#100

Head-to-head preference voting. How we filter and rank

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/qwen3-30b-a3b.

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/qwen3-30b-a3b",
    "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/qwen3-30b-a3b",
    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/qwen3-30b-a3b",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Qwen3 30B A3B cost via API?
Through OpenKey, Qwen3 30B A3B costs $0.124 per 1M input tokens and $0.515 per 1M output tokens. That is the provider price ($0.120 / $0.500) plus a flat 3% fee — nothing else.
What is Qwen3 30B A3B's context window?
Qwen3 30B A3B accepts up to 131K tokens of context and returns up to 16K tokens per request.
Is Qwen3 30B A3B OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen3-30b-a3b" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen3 30B A3B support?
Qwen3 30B A3B accepts text input and produces text output. Its knowledge cutoff is Mar 31, 2025.

More from Qwen

All Qwen models →