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Qwen: Qwen3 VL 32B Instruct

Qwen3-VL-32B-Instruct is a large-scale multimodal vision-language model designed for high-precision understanding and reasoning across text, images, and video. $0.104 per million input tokens, $0.416 per million output tokens. 131,072 token context window, maximum output of 32,768 tokens. Includes independent benchmarks from Artificial Analysis.

在 OpenRouter 查看来源 Hugging Face
模型概览

模型规格

上下文
131,072 tokens
最大输出
32,768 tokens
架构
text+image->text
分词器
Qwen
知识截止时间
暂未提供
内容审核
否
OPENROUTER

完整价格

同步自 OpenRouter。Token 价格均按每百万 Token 展示。

输入
$0.104
/M tokens
输出
$0.416
/M tokens
API

模型配置

默认参数

temperature
0.7
top_p
0.8
top_k
20
repetition_penalty
1
API

快速调用

通过 OpenRouter 的 OpenAI 兼容 API 调用这个确切的模型 ID。

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"qwen/qwen3-vl-32b-instruct","messages":[{"role":"user","content":"Hello!"}]}'
能力与模态

输入 → 输出

输入
textimage
输出
text
API

支持的 API 参数

frequency_penaltylogprobsmax_tokenspresence_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
可用提供方

1 提供方

在 OpenRouter 查看实时 Provider

Provider 可用性、延迟、吞吐量和路由会持续变化，请前往来源页面查看实时运行数据。

OpenRouter

Alibaba

unknown
上下文
131K
最大输出
33K
输入
$0.104
输出
$0.416
缓存读取
暂未提供
缓存写入
暂未提供
qwen

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上下文
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输入
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输出
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上下文
暂未提供
输入
audio
输出
transcription
输入: $7.50输出: 免费每百万 Token
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