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OpenKey

Qwen3 VL 235B A22B Thinking

QwenReleased Sep 23, 2025

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....

Try in playground
Context window
131K tokens
Max output
33K tokens
Input
text, image
Output
text
Tokenizer
Qwen3
Knowledge cutoff
Mar 31, 2025
Released
Sep 23, 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$0.260$0.0078$0.268
Output$2.60$0.078$2.68

Supported parameters

  • frequency_penalty
  • include_reasoning
  • logprobs
  • max_tokens
  • 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-vl-235b-a22b-thinking.

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

Questions

How much does Qwen3 VL 235B A22B Thinking cost via API?
Through OpenKey, Qwen3 VL 235B A22B Thinking costs $0.268 per 1M input tokens and $2.68 per 1M output tokens. That is the provider price ($0.260 / $2.60) plus a flat 3% fee — nothing else.
What is Qwen3 VL 235B A22B Thinking's context window?
Qwen3 VL 235B A22B Thinking accepts up to 131K tokens of context and returns up to 33K tokens per request.
Is Qwen3 VL 235B A22B Thinking OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen3-vl-235b-a22b-thinking" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen3 VL 235B A22B Thinking support?
Qwen3 VL 235B A22B Thinking accepts text, image input and produces text output. Its knowledge cutoff is Mar 31, 2025.

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