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Qwen3 VL 8B Thinking

QwenReleased Oct 14, 2025

Qwen3-VL-8B-Thinking is the reasoning-optimized variant of the Qwen3-VL-8B multimodal model, designed for advanced visual and textual reasoning across complex scenes, documents, and temporal sequences. It integrates enhanced multimodal alignment and...

Try in playground
Context window
256K tokens
Max output
33K tokens
Input
image, text
Output
text
Tokenizer
Qwen3
Released
Oct 14, 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$0.117$0.0035$0.121
Output$1.36$0.041$1.41

Supported parameters

  • include_reasoning
  • logprobs
  • max_tokens
  • presence_penalty
  • reasoning
  • 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-vl-8b-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-8b-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-8b-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-8b-thinking",
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Questions

How much does Qwen3 VL 8B Thinking cost via API?
Through OpenKey, Qwen3 VL 8B Thinking costs $0.121 per 1M input tokens and $1.41 per 1M output tokens. That is the provider price ($0.117 / $1.36) plus a flat 3% fee — nothing else.
What is Qwen3 VL 8B Thinking's context window?
Qwen3 VL 8B Thinking accepts up to 256K tokens of context and returns up to 33K tokens per request.
Is Qwen3 VL 8B Thinking OpenAI-compatible?
Yes. Send requests to OpenKey's /v1/chat/completions endpoint with model "qwen/qwen3-vl-8b-thinking" using any OpenAI SDK — only the base URL and API key change.
What inputs does Qwen3 VL 8B Thinking support?
Qwen3 VL 8B Thinking accepts image, text input and produces text output.

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