Key takeaways
Multimodal China LLMs help when screenshots, UI, charts, or Chinese document images drive the task. Text-only coding winners are not automatically vision winners. Confirm which model IDs accept images on your vendor console, test from overseas latency paths, and budget larger payloads.
Workload map
UI bug reports from screenshots → vision chat. Chinese scanned PDFs → often RAG + OCR pipeline, not one huge image prompt (/en/articles/china-llm-rag-selection-guide). Pure code → /en/articles/china-llm-coding-assistant-2026. Agents that see + act → test tools with images (/en/articles/china-llm-agent-tool-calling-2026).
Vendor notes
Qwen/DashScope often appears in multimodal shortlists—/en/articles/qwen-api-overseas-quickstart-2026. GLM enterprise stacks may expose vision variants—/en/articles/glm-api-overseas-quickstart-2026. Always verify current model names; Swift Horse does not mirror private catalogs.
POC checklist
10 real images from production → same questions per vendor → score accuracy, CN/EN answers, latency, failures on large images → estimate cost → plan failover text-only path if vision outage.
Next steps on Swift Horse
Models /en/models → services /en/services → SDK /en/articles/china-llm-openai-compatible-sdk-2026 → best-of /en/articles/best-chinese-llm-2026.
FAQ
Which China LLM is best for images?
No universal winner—shortlist multimodal IDs on Qwen/GLM consoles and run your 10-image POC.
Can I send PDFs as images?
Sometimes, but large scans are costly and lossy—prefer OCR/RAG pipelines for documents.
Do OpenAI-compatible SDKs support vision?
Many vendors accept image parts in chat messages—test your SDK version. See /en/articles/china-llm-openai-compatible-sdk-2026.
Is this official vendor vision docs?
No—independent Swift Horse guide. Confirm image limits on vendor docs.