定价
- Single Sign-On
- Regions
- Priority Support
- Audit Logs
- Resource Groups
- Deploy on optimized Inference Endpoints
- Update Spaces applications to a GPU
定价 来自官网，验证于 Jun 2026。请务必在供应商官网确认当前价格。
优缺点
我们的分析优点
- Over 500,000 models across all modalities
- Standard Python interface via Transformers library
- Hosted inference and Spaces for quick demos
- Supports text, image, audio, and multimodal tasks
- Enterprise private hosting available
缺点
- No free tier on paid/enterprise plans
- Paid plans start at $0.60
- Navigating 500k+ models requires expertise
用户评价
Hugging Face is commonly used as both a model discovery platform and a deployment layer for researchers and engineers working across the ML ecosystem. A frequently noted strength is the Transformers library, which serves as the de facto standard Python interface for loading and running most open models locally. A common consideration is that the sheer volume of over 500,000 models makes curation and quality assessment a skill in itself.
基于公开信息的编辑摘要.
最适合
ML researchers and developers discovering, hosting, or fine-tuning open models
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Hugging Face
| 功能 | Hugging Face |  GitHub Copilot |
|---|---|---|
| 定价 | 付费 | — |
| 起价 | $0.6/mo | — |
| 免费方案 | 否 | 否 |
| API | 是 | 否 |
| 开源 | 否 | 是 |
| 平台 | Mobile App | Web |
| 模型 | Huggingface | — |
| 上下文窗口 | 1M | — |
| 上线时间 | 2024 | 2008 |
Hugging Face 的最佳替代方案
查看所有替代方案 →
验证于 Jun 2026
规格
| 定价 | 付费 |
|---|---|
| 起价 | $0.6/mo |
| 免费方案 | 否 |
| API | 是 |
| 开源 | 否 |
| 平台 | Mobile App |
| 模型 | Huggingface |
| 上下文窗口 | 1M |
| 上线时间 | 2024 |
新闻
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August 30, 2026
Tencent’s Hy4 preview combines 770B total parameters, 49B activated per token, a 1M context, and documented vLLM and SGLang serving paths. Its internal evaluation is promising but not independent proof of general superiority.
Liquid AI Releases DSpark Checkpoints to Speed Up LFM2.5 Models on GPUs and Laptops
August 21, 2026
Liquid AI has released DSpark checkpoints that speed up its LFM2.5 models using speculative decoding. The new files work right away in llama.cpp and SGLang, but your actual speed gains depend on your hardware and tasks.
Liquid AI Releases Fast 3.1B Vision Model for Local Devices and Private Workloads
August 13, 2026
Liquid AI released LFM2.5-VL-3B, a 3.1-billion-parameter open-weight vision-language model built for on-device use. It brings quick visual processing to laptops and phones without sending private data to the cloud.