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Hugging Face vs LM Speed
Short answer: Pick Hugging Face if you want open-source model and dataset collaboration; pick LM Speed if you want Speed and cost benchmarking for LLM APIs. Hugging Face has a free plan, paid from $9/month; LM Speed has a free plan.
Which to pick
Pick Hugging Face if you want…
- Open-source model and dataset collaboration
- Model discovery
- Integrations with Python, PyTorch or Gradio (on Hugging Face's list, not LM Speed's)
Pick LM Speed if you want…
- Speed and cost benchmarking for LLM APIs
- Integrations with OpenAI, DeepSeek or Silicon Flow (on LM Speed's list, not Hugging Face's)
Side by side
- What it is
- Hugging Face:Hugging Face provides a collaborative hub for hosting, sharing, and deploying open-source AI models, datasets, and applications.
- LM Speed:LM Speed lets developers test, compare and audit the speed and cost of LLM APIs across many providers.
- Best for
- Hugging Face:Open-source model and dataset collaboration
- LM Speed:Speed and cost benchmarking for LLM APIs
- Who it’s for
- Hugging Face:ML researchers, developers, and teams building and sharing AI models and demos.
- LM Speed:Developers building or optimizing AI applications that rely on LLM APIs.
- Pricing
- Hugging Face:Freemium
- LM Speed:Freemium
- Starting price
- Hugging Face:$9/month (Pro)
- LM Speed:—
- Free plan or trial
- Hugging Face:—
- LM Speed:Free plan (Site verification)
- Plans
- Hugging Face:Pro $9/month · Team $20/month per user per month · Enterprise $50/month per user per month
- LM Speed:Site verification $0 · Paid provider publishing $19.90 one-time
- Works with
- Hugging Face:Python, PyTorch, Gradio, Docker, AWS, Azure, GCP
- LM Speed:OpenAI, DeepSeek, Silicon Flow, Tencent Cloud, any OpenAI-compatible API
Hugging Face features
- Model Hub. Browse, host and version-control over 2 M public models across text, image, audio and more.
- Dataset Hub. Store, share and explore 500 k+ public datasets for any ML task.
- Spaces. Deploy interactive ML demos with Gradio or Docker, with optional GPU acceleration.
- Compute & Inference. On-demand GPU/CPU instances and autoscaling inference endpoints starting at $0.60 / hour.
- Enterprise Team Features. Single sign-on, access controls, audit logs and dedicated support for organizations.
- Hugging Face PRO. Enhanced storage, inference credits and priority GPU quota for $9 / month.
LM Speed features
- Model score lookup. Search models to view benchmark scores for coding, reasoning, math and more.
- Pricing comparison. Side-by-side per-token pricing across 100+ providers, including free tiers.
- Real-time speed benchmarks. Run five-round tests measuring latency, throughput and total duration.
- API security audit. Check model authenticity, hidden prompts, instruction tampering and error leakage.
- Custom endpoint testing. Benchmark any OpenAI-compatible URL, API key and model ID.
- Analytics dashboard. Review latency, throughput, health signals and stability rankings.
Hugging Face vs LM Speed FAQ
What is the difference between Hugging Face and LM Speed?+
Hugging Face: Model hub and dataset repository without automated speed or security audits.
Should I use Hugging Face or LM Speed?+
Pick Hugging Face if you want open-source model and dataset collaboration, model discovery or integrations with Python, PyTorch or Gradio (on Hugging Face's list, not LM Speed's). Pick LM Speed if you want Speed and cost benchmarking for LLM APIs or integrations with OpenAI, DeepSeek or Silicon Flow (on LM Speed's list, not Hugging Face's).
Is Hugging Face or LM Speed free?+
Hugging Face has a free plan; paid plans start at $9/month (Pro). LM Speed has a free plan (Site verification) and paid plans.
Do Hugging Face and LM Speed integrate with the same tools?+
Their integration lists don't overlap: Hugging Face lists Python, PyTorch, Gradio, Docker and 3 more; LM Speed lists OpenAI, DeepSeek, Silicon Flow, Tencent Cloud and 1 more.
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.