Both versions are aligned block by block, in reading order: title, the essentials, then paragraph by paragraph. Where the translation merged or split a paragraph, the matching cell stays empty — we never pair two passages by guesswork.
当一个Agent不再只读文字，它才开始碰到真实工作的入口：截图、文档页面、表格和错误信息。DeepSeek近日在API平台上线实验性多模态模型 deepseek-v4-flash-vision-exp，让现有Agent工作流可以接收图片；DeepSeek Harness 0.1.1也已加入原生支持。
An agent does not begin to encounter the realities of work until it can read more than just text: screenshots, document pages, tables and error messages. DeepSeek recently launched the experimental multimodal model deepseek-v4-flash-vision-exp on its API platform, allowing existing agent workflows to receive images; DeepSeek Harness 0.1.1 has also added native support.
这款模型沿用了DeepSeek-V4-Flash的文本能力，同时增加视觉理解。开发者可以通过Chat Completions、Messages和Responses API提交混合的文字与图片，图片则可用Base64、外部URL或Files API提供。办公Agent可以分析页面和表格，开发Agent可以识别界面问题与错误信息，内容生产工具也能根据图片素材辅助生成内容。
The model retains DeepSeek-V4-Flash's text capabilities while adding visual understanding. Developers can submit text and images together through the Chat Completions, Messages and Responses APIs, providing images via Base64, external URLs or the Files API. Office agents can analyze pages and tables, development agents can identify interface issues and error messages, and content production tools can use image assets to help generate content.
成本仍按token计算，图片会先根据尺寸换算为token，每张最高 384 tokens。输入价格在缓存命中时，闲时为每百万tokens 0.05元、繁忙时段为0.10元；缓存未命中时分别为1.5元和3元。输出价格分别为4.5元和9元。繁忙时段是北京时间每天9:00至12:00、14:00至18:00，其余时间按闲时价格计算。
Costs are still calculated by token: images are first converted to tokens based on their dimensions, with a maximum of 384 tokens per image. When the cache is hit, input costs 0.05 yuan per million tokens during off-peak hours and 0.10 yuan during busy periods; when the cache is missed, the prices are 1.5 yuan and 3 yuan, respectively. Output costs are 4.5 yuan and 9 yuan, respectively. Busy periods are from 9:00 to 12:00 and 14:00 to 18:00 Beijing time every day; all other times are charged at the off-peak rate.
重复传图是多轮Agent任务中的实际负担。新推出的Files API允许开发者先上传图片，再用file_id在不同请求中引用同一文件，无需反复上传；它支持JPEG、PNG、GIF和WebP，单个文件最大 64 MiB，单用户最多保存25 GiB和10000个文件。
Repeatedly uploading images is a practical burden in multi-step agent tasks. The newly launched Files API allows developers to upload an image first and then reference the same file in different requests using file_id, eliminating the need to upload it repeatedly. It supports JPEG, PNG, GIF and WebP, with a maximum size of 64 MiB per file and limits of 25 GiB and 10000 files per user.
具体来说，开发者现在可以把图片理解接到已有的办公、开发和内容生产流程里，而不用为每一轮任务重新传输相同素材。官方称，这款模型在多模态Agent基准测试中相比V4-Flash有明显提升，表现接近Opus-4.8等高端模型；但它仍被定义为实验性质模型。
In practical terms, developers can now connect image understanding to existing workflows for office work, development and content production without retransmitting the same assets for every task. The company says the model shows a clear improvement over V4-Flash on multimodal agent benchmarks and performs close to high-end models such as Opus-4.8; it is still classified as an experimental model.