DeepSeek launches "eye-opening" multi-modal vision capabilities: completing the last mile, AI automation enters the era of all images and text

Core conclusion

On April 30, 2026, DeepSeek officially launched the "Kaiyan" multi-modal vision capability, completing the last piece of the puzzle in the DeepSeek model matrix - visual understanding. This means that DeepSeek, which was previously known for its text reasoning, can now understand images, charts, screenshots and handwritten content like GPT-4V, and the API price remains as affordable as ever.

Key Points

• Time of incident: April 30, 2026 -Affected objects: AI content creators, automated workflow developers, domestic AI tool users
• Core change: DeepSeek is upgraded from a pure text model to a multi-modal model that supports image understanding
• Pricing strategy: Continuing DeepSeek’s consistent low-price strategy, API costs are significantly lower than GPT-4V equivalent services

Background: DeepSeek’s Last Mile

Since its rise in 2024, DeepSeek has been known as the "King of Textual Reasoning". From the MoE architecture optimization of DeepSeek V2 to the 1M context window and extremely low price of DeepSeek V4, DeepSeek has accumulated a good reputation and a large user base in the field of plain text.

However, DeepSeek has been absent in the field of visual understanding. At the same time, competing products such as GPT-4V, Claude 3.5 Vision, Gemini 2.0 Flash, etc. have already made multi-modality standard. For domestic content creators and automation practitioners who want to use domestic models in image and text understanding workflows, there has been a lack of a competitive option.

The launch of "Open Eyes" is precisely to fill this gap.

Key Impact

What is "eye opening"? List of actual measurement capabilities

According to the actual test report of 36Kr and Lei Technology, "Open Eyes" performed amazingly after being tested with 12 different types of "tricky" pictures:

• Chart Understanding: Ability to accurately read values and trends in complex data charts
• Screenshot OCR: extract text information directly from screenshots and understand the context
• Handwriting Recognition: Satisfactory recognition accuracy for handwritten notes and sketches
• Picture and Text Reasoning: Combine picture information and text prompts for logical reasoning
• Visual Q&A: Give reasonable answers to open-ended questions such as "What does this picture illustrate?"

Unlike other competing products, DeepSeek's "Open Eyes" is not simply a layer of OCR shell, but truly realizes visual understanding capabilities at the model level.

Practical implications for content monetization and automation

1. Automated upgrade of content production

In the past, to automatically process content with images (such as social media screenshots, competitive product analysis charts, and data reports), you had to perform OCR to extract text and then pass it to LLM for analysis. Now it’s all done with a single API call.

# OCR + LLM
import pytesseract
from PIL import Image
text = pytesseract.image_to_string(Image.open('chart.png'))
response = openai.chat.completions.create(
    model="gpt-4",
 messages=[{"role": "user", "content": f": {text}"}]
)

# DeepSeek
response = deepseek.chat.completions.create(
    model="deepseek-kaiyan",
    messages=[{
        "role": "user",
        "content": [
 {"type": "text", "text": ""},
            {"type": "image_url", "image_url": {"url": "https://example.com/chart.png"}}
        ]
    }]
)

2.

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3.

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DeepSeek、ChatGPT、GPT-4V、Claude、Gemini、n8n、OpenClaw

Internal link guidance

• Want to use DeepSeek for automation? Read the tutorial first: DeepSeek V4 vs Claude Code: 90% Cheaper, Same Quality
• Real case: Indie Developer: n8n + OpenClaw Automation Workflow Earning $5,000/mo