Qwen: Qwen3 VL 8B Instruct

qwen/qwen3-vl-8b-instruct

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon...

Context

262K

Input MA / 1M

0.0702

Output MA / 1M

0.273

Billing follows the provider's own reported cost rather than the catalogue price — cached input is cheaper, and reasoning tokens bill as output. Your usage page is the record of what you actually paid.

Capabilities

ChatVisionToolsStructured

Try it

One free message per account, no deposit needed. The reply is length-capped — it's a taste, not a quota.

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Connect a wallet

Call it

Every model goes through the same endpoint — just use this page's ID as model.

curl https://macdecloud.com/v1/chat/completions \
  -H "Authorization: Bearer dcld-sk-..." \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3-vl-8b-instruct","messages":[{"role":"user","content":"Hello"}]}'

Streaming

Add "stream": true for token-by-token output over standard SSE.

curl -N https://macdecloud.com/v1/chat/completions \
  -H "Authorization: Bearer dcld-sk-..." \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3-vl-8b-instruct","stream":true,"messages":[{"role":"user","content":"hi"}]}'

Function calling

This model supports tools. Replies may carry tool_calls; run them and append the results as role: "tool" messages, then call again.

{
  "model": "qwen/qwen3-vl-8b-instruct",
  "messages": [{ "role": "user", "content": "What's the weather in Paris?" }],
  "tools": [{
    "type": "function",
    "function": {
      "name": "get_weather",
      "parameters": {
        "type": "object",
        "properties": { "city": { "type": "string" } },
        "required": ["city"]
      }
    }
  }]
}

Structured output

Supports response_format, so the model returns JSON matching a schema you give it instead of prose you have to parse.

{
  "model": "qwen/qwen3-vl-8b-instruct",
  "messages": [{ "role": "user", "content": "..." }],
  "response_format": {
    "type": "json_schema",
    "json_schema": {
      "name": "result",
      "schema": {
        "type": "object",
        "properties": { "answer": { "type": "string" } },
        "required": ["answer"]
      }
    }
  }
}

Image input

Make content an array mixing text and image_url parts. The image can be a public URL or a data: base64 payload.

{
  "model": "qwen/qwen3-vl-8b-instruct",
  "messages": [{
    "role": "user",
    "content": [
      { "type": "text", "text": "What is in this image?" },
      { "type": "image_url", "image_url": { "url": "https://example.com/photo.jpg" } }
    ]
  }]
}

Use it from Claude Code / Cursor / opencode →