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Qwen3 30B A3B Instruct 2507

QwenReleased Jul 29, 2025

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...

Try in playground
Context window
131K tokens
Max output
32K tokens
Input
text
Output
text
Tokenizer
Qwen3
Knowledge cutoff
Jun 30, 2025
Released
Jul 29, 2025

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$0.048$0.0014$0.050
Output$0.193$0.0058$0.199

Supported parameters

  • frequency_penalty
  • logit_bias
  • logprobs
  • max_tokens
  • presence_penalty
  • 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-instruct-2507.

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-instruct-2507",
    "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-instruct-2507",
    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-instruct-2507",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Qwen3 30B A3B Instruct 2507 cost via API?
Through OpenKey, Qwen3 30B A3B Instruct 2507 costs $0.050 per 1M input tokens and $0.199 per 1M output tokens. That is the provider price ($0.048 / $0.193) plus a flat 3% fee — nothing else.
What is Qwen3 30B A3B Instruct 2507's context window?
Qwen3 30B A3B Instruct 2507 accepts up to 131K tokens of context and returns up to 32K tokens per request.
Is Qwen3 30B A3B Instruct 2507 OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen3-30b-a3b-instruct-2507" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen3 30B A3B Instruct 2507 support?
Qwen3 30B A3B Instruct 2507 accepts text input and produces text output. Its knowledge cutoff is Jun 30, 2025.

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