阿里发布Qwen-Image-3.0，支持4.5K Token超长输入与复杂图文生成

蛙知AI测评 发表于 2026-7-21 20:24:58

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<div class="ce-paragraph cdx-block ce-paragraph--left">  阿里正式发布新一代图像生成基础模型Qwen-Image-3.0。作为千问图像生成与编辑系列的第三代基础模型，新模型支持<span class="spamTxt">最高</span>4.5K Token超长文本输入，可一次性生成包含公式符号、几何图形、逻辑推导、多层UI界面等复杂内容，并原生支持12种语言和20余款字体渲染，进一步提升商业级图文内容生成能力。</div>
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   <div class="cdx-block image-tool image-tool--filled ">
         <div class="image-tool__image">
            <div class="image-tool__image-preloader" style=""></div>
            <img id="aimg_Ay5RQGtAiO" class="image-tool__image-picture _zoom" src="https://wazhi.net/data/attachment/forum/202607/21/202434bm6n31vm26qzvq02.jpg" title="" alt="" data-aid="345"/>
         </div>
         <div class="cdx-input image-tool__caption" data-placeholder=""></div>
   </div>
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<div class="ce-paragraph cdx-block ce-paragraph--left">相比上一代模型，Qwen-Image-3.0将文本输入长度提升至4.5倍，在影视分镜、知识图解、产品说明页等依赖长提示词的场景中，用户无需压缩需求，可像撰写设计文档一样完整描述画面结构、文案内容、视觉风格和版式细节，从而获得更加精准的生成结果，降低反复修改和人工调试成本。</div>
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<div class="ce-paragraph cdx-block ce-paragraph--left">在复杂内容理解方面，Qwen-Image-3.0进一步强化了语义解析和空间布局能力，能够一次生成覆盖多个主题的九宫格知识图解，兼顾文字清晰度与内容准确性。同时，模型支持复杂逻辑嵌套，可根据单条指令生成网页、软件界面、聊天窗口、海报等多层视觉元素组合。例如，在“VSCode编程界面中，通过千问App生成一张发布在聊天界面的手冲咖啡海报”等复杂场景下，模型能够准确理解多层UI关系，并保持各级界面风格一致，甚至对约10像素的小字号文字也能实现清晰呈现。</div>
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<div class="ce-block__content">
   <div class="cdx-block image-tool image-tool--filled ">
         <div class="image-tool__image">
            <div class="image-tool__image-preloader" style=""></div>
            <img id="aimg_3suPNRT40b" class="image-tool__image-picture _zoom" src="https://wazhi.net/data/attachment/forum/202607/21/202455l2ggsoi9kgss9zss.jpg" title="" alt="" data-aid="346"/>
         </div>
         <div class="cdx-input image-tool__caption" data-placeholder=""></div>
   </div>
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<div class="ce-paragraph cdx-block ce-paragraph--left">官方表示，Qwen-Image-3.0在人像摄影、数学试卷、古碑拓片、直播页面等场景均具备较强的细节还原能力，对复杂图文混排和高密度信息承载进行了重点优化。</div>
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<div class="ce-paragraph cdx-block ce-paragraph--left">随着生成式AI逐步进入专业设计和商业内容生产环节，图像模型的竞争正从基础画质转向复杂信息表达、可读性和工程化能力。Qwen-Image-3.0的发布，进一步推动AI图像生成向高精度、多语言和商业可用方向发展。</div>
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</div><style type="text/css">
.ce-block {
margin-bottom: 20px;
}
.ce-block__content,.ce-toolbar__content {
/* max-width:calc(100% - 50px) */
margin-left: auto;
margin-right: auto;
}
.ce-paragraph {
line-height: 1.6em;
outline: none;
text-indent: 2em;
font-size: 16px;
}
.ce-paragraph--right {
text-align: right;
}
.ce-paragraph--center {
text-align: center;
}
.ce-paragraph--left {
text-align: left;
}

.ce-paragraph--justify {
text-align: justify;
}

.ce-paragraph-text-indent {
text-align: justify;
}
.ce-paragraph:empty::before{
content: attr(data-placeholder);
color: #707684;
font-weight: normal;
opacity: 0;
}

/** Show placeholder at the first paragraph if Editor is empty */
.codex-editor--empty .ce-block:first-child .ce-paragraph:empty::before {
opacity: 1;
}

.codex-editor--toolbox-opened .ce-block:first-child .ce-paragraph:empty::before,
.codex-editor--empty .ce-block:first-child .ce-paragraph:empty:focus::before {
opacity: 0;
}

.ce-paragraph p:first-of-type{
margin-top: 0;
}

.ce-paragraph p:last-of-type{
margin-bottom: 0;
}

.svg-icon {
width: 1em;
height: 1em;
}

.svg-icon path,
.svg-icon polygon,
.svg-icon rect {
fill: #4691f6;
}

.svg-icon circle {
stroke: #4691f6;
stroke-width: 1;
}
</style><style type="text/css">
.ce-block {
margin-bottom: 20px;
}
.ce-block__content,.ce-toolbar__content {
/* max-width:calc(100% - 50px) */
margin-left: auto;
margin-right: auto;
}
.image-tool {
--bg-color: #cdd1e0;
--front-color: #388ae5;
--border-color: #e8e8eb;

}

.image-tool__image {
border-radius: 3px;
overflow: hidden;
margin-bottom: 10px;
}

.image-tool__image-picture {
   max-width: 100%;
   vertical-align: bottom;
   display: block;
   margin-left: auto;
   margin-right: auto;
}

.image-tool__image-preloader {
   width: 50px;
   height: 50px;
   border-radius: 50%;
   background-size: cover;
   margin: auto;
   position: relative;
   background-color: #cdd1e0;
   background-position: center center;
}

.image-tool__image-preloader::after {
   content: "";
   position: absolute;
   z-index: 3;
   width: 60px;
   height: 60px;
   border-radius: 50%;
   border: 2px solid #cdd1e0;
   border-top-color: #388ae5;
   left: 50%;
   top: 50%;
   margin-top: -30px;
   margin-left: -30px;
   animation: image-preloader-spin 2s infinite linear;
   box-sizing: border-box;
   }

.image-tool__caption::before {
   position: absolute !important;
   content: attr(data-placeholder);
   color: #707684;
   font-weight: normal;
   display: none;
}

.image-tool__caption:empty::before {
   display: block;
   }

.image-tool__caption:empty:focus::before {
   display: none;
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.image-tool--empty .image-tool__image {
   display: none;
}

.image-tool--empty .image-tool__caption, .image-tool--loading .image-tool__caption {
   display: none;
}

.image-tool .cdx-button {
display: flex;
align-items: center;
justify-content: center;
}

.image-tool .cdx-button svg {
   height: auto;
   margin: 0 6px 0 0;
}

.image-tool--filled .cdx-button {
   display: none;
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.image-tool--filled .image-tool__image-preloader {
   display: none;
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.image-tool--loading .image-tool__image {
   min-height: 200px;
   display: flex;
   border: 1px solid #e8e8eb;
   background-color: #fff;
}

.image-tool--loading .image-tool__image-picture {
   display: none;
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.image-tool--loading .cdx-button {
   display: none;
}

/**
* Tunes
* ----------------
*/

.image-tool--withBorder .image-tool__image {
   border: 1px solid #e8e8eb;
}

.image-tool--withBackground .image-tool__image {
   padding: 15px;
   background: #cdd1e0;
}

.image-tool--withBackground .image-tool__image-picture {
   max-width: 60%;
   margin: 0 auto;
   }

.image-tool--stretched .image-tool__image-picture {
   width: 100%;
   }

.image-tool__caption {
text-align: center;
font-size: 14px;
color: #a3a3a3;
}
@keyframes image-preloader-spin {
0% {
transform: rotate(0deg);
}
100% {
transform: rotate(360deg);
}
}
</style><style type="text/css">
.inline-code {
background: rgba(250, 239, 240, 0.78);
color: #b44437;
padding: 3px 4px;
border-radius: 5px;
margin: 0 1px;
font-family: inherit;
font-size: 0.86em;
font-weight: 500;
letter-spacing: 0.3px;
}
</style>

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阿里发布Qwen-Image-3.0，支持4.5K Token超长输入与复杂图文生成