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OpenKey

Qwen3 Max

QwenReleased Sep 23, 2025

Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It...

Try in playground
Context window
262K tokens
Max output
33K tokens
Input
text
Output
text
Tokenizer
Qwen3
Knowledge cutoff
Jun 30, 2025
Released
Sep 23, 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$0.780$0.023$0.803
Output$3.90$0.117$4.02
Cache read$0.156$0.0047$0.161
Cache write$0.975$0.029$1.00

Benchmarks

Design Arena

CategoryEloWin rateRank
3Dmodels115043.5%#62
ASCII artmodels117547.2%#32
Codemodels115944%#66
Data vizmodels114941.8%#64
Game devmodels116043.9%#62
SVGmodels106937.3%#60
UI componentsmodels113240.1%#67
Websitesmodels116144.4%#66

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

Supported parameters

  • logprobs
  • max_tokens
  • presence_penalty
  • response_format
  • seed
  • structured_outputs
  • temperature
  • tool_choice
  • tools
  • top_logprobs
  • top_p

Call it

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

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

Questions

How much does Qwen3 Max cost via API?
Through OpenKey, Qwen3 Max costs $0.803 per 1M input tokens and $4.02 per 1M output tokens. That is the provider price ($0.780 / $3.90) plus a flat 3% fee — nothing else.
What is Qwen3 Max's context window?
Qwen3 Max accepts up to 262K tokens of context and returns up to 33K tokens per request.
Is Qwen3 Max OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen3-max" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen3 Max support?
Qwen3 Max accepts text input and produces text output. Its knowledge cutoff is Jun 30, 2025.

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