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Qwen3 235B A22B Thinking 2507

QwenReleased Jul 25, 2025

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...

Try in playground
Context window
262K tokens
Input
text
Output
text
Tokenizer
Qwen3
Knowledge cutoff
Jun 30, 2025
Released
Jul 25, 2025
Reasoning
always on

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$0.149$0.0045$0.154
Output$1.50$0.045$1.54

Benchmarks

Design Arena

CategoryEloWin rateRank
3Dmodels107640.7%#79
Codemodels108240.9%#83
Data vizmodels99132.3%#90
Game devmodels102334.3%#93
UI componentsmodels99833.9%#90
Websitesmodels109542.1%#84

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
  • 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/qwen3-235b-a22b-thinking-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/qwen3-235b-a22b-thinking-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/qwen3-235b-a22b-thinking-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/qwen3-235b-a22b-thinking-2507",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Qwen3 235B A22B Thinking 2507 cost via API?
Through OpenKey, Qwen3 235B A22B Thinking 2507 costs $0.154 per 1M input tokens and $1.54 per 1M output tokens. That is the provider price ($0.149 / $1.50) plus a flat 3% fee — nothing else.
What is Qwen3 235B A22B Thinking 2507's context window?
Qwen3 235B A22B Thinking 2507 accepts up to 262K tokens of context.
Is Qwen3 235B A22B Thinking 2507 OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen3-235b-a22b-thinking-2507" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen3 235B A22B Thinking 2507 support?
Qwen3 235B A22B Thinking 2507 accepts text input and produces text output. Its knowledge cutoff is Jun 30, 2025.

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