Model overview
“The Chinese-language image generation large model that understands Chinese best”: Built on an LLM and trained on billions of Chinese text tokens, it surpasses open-source models like SDXL/SD3 and closed-source models like Midjourney in overall metrics, achieving state-of-the-art performance for Chinese-language scenarios.
The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.
Key features
- Optimized specifically for Chinese-language scenarios, it claims to achieve state-of-the-art (SOTA) performance on Chinese image generation tasks.
- Designed based on the large language model (LLM) architecture and trained on billions of Chinese text tokens
- Supports asynchronous task processing, suitable for long-running generation requests such as those involving graphics.
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| Apilio · default ↗ | Not verified | Not verified | credits | 2026/11/2 06:25:13 |
| Apilio · 国产特价2 ↗ | Not verified | Not verified | credits | 2026/11/2 06:25:13 |
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Does kling-image-v1 support English prompt input?
The documentation does not specify support for English prompts or their performance.
Can this model be directly integrated into a local development environment?
The documentation does not mention on-premises deployment, access methods other than the API, or open-source status.
Are there any publicly available benchmark test results comparing it to SDXL/SD3 or Midjourney?
The material only claims that “the composite score exceeds,” but it does not provide specific evaluation dimensions, datasets, or verifiable benchmark results.
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：来源未披露，须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。