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Qwen: Qwen2.5 VL 72B Instruct

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. $0.25 per million input tokens, $0.75 per million output tokens. 128,000 token context window. Higher uptime with 2 providers.

模型概览

模型规格

上下文
128,000 tokens
最大输出
28,800 tokens
架构
text+image->text
分词器
Qwen
知识截止时间
2024-06-30
内容审核
OPENROUTER

完整价格

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

输入
$0.25
/M tokens
输出
$0.75
/M tokens
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/qwen2.5-vl-72b-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_penaltylogit_biaslogprobsmax_tokenspresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetop_ktop_logprobstop_p
可用提供方

2 个提供方

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

Nebius

fp8
上下文
32K
最大输出
29K
输入
$0.250
输出
$0.750
缓存读取
暂未提供
缓存写入
暂未提供

Parasail

fp8
上下文
128K
最大输出
115K
输入
$0.800
输出
$1.00
缓存读取
$0.400
缓存写入
暂未提供
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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
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输出
transcription
输入: $7.50输出: 免费每百万 Token
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