Hugging Face vs LangChain
Both are ai tools. Here is what separates them.
| Hugging Face | LangChain | |
|---|---|---|
| Category | AI | AI |
| Pricing model | freemium | open-source |
| Price from | Freemium | Open source |
| Upvotes | 8 | 18 |
| What it does | The model hub. Weights, datasets and demos for most of open-source ML. | The framework most LLM applications are still assembled with. |
What Hugging Face is
Hugging Face is a hosting platform for machine learning work: model weights, datasets and runnable demos, held in repositories on a public hub. Using the Hub on the free tier costs nothing. A PRO account is $9 per month, a Team seat $20 per user per month and an Enterprise seat $50 per user per month. Storage is where the tiers separate. A free user or organisation gets 100GB of private storage. PRO raises that to 1TB private alongside up to 10TB public, a Team organisation starts at 12TB public plus 1TB per seat, and Enterprise at 200TB plus 1TB per seat. Beyond the allowance, public storage is $12 per TB per month and private storage $18, with the private rate tapering to $16 above 50TB, $14 above 200TB and $12 above 500TB. Hard limits apply on any plan: no single file may exceed 500GB, the vendor recommends splitting into chunks under 200GB, a single folder cannot hold more than 10,000 files, and the recommended ceiling is under 100,000 files per repository. Spaces host demos on rented hardware. CPU Basic is free, a CPU upgrade is $0.03 per hour, an NVIDIA T4 small $0.40 and an NVIDIA L4 $0.80. ZeroGPU is the alternative for intermittent workloads: it works only with the Gradio SDK, and a decorated function defaults to a 60 second maximum runtime unless a longer duration is declared. Daily ZeroGPU quota is 2 minutes unauthenticated, 5 minutes on a free account, 40 minutes for PRO and Team members and 60 minutes for Enterprise members, after which usage is billed against pre-paid credits at $1 per 10 minutes of GPU time. The large size is backed by half an NVIDIA RTX Pro 6000 Blackwell with 48GB of VRAM and xlarge by the full card with 96GB. Inference Providers routes API calls out to third-party hosts including Baseten, Cerebras, Cohere, DeepInfra, Fal AI, Fireworks, Groq, Novita, Replicate, Scaleway, Together and Z.ai. The router exposes an OpenAI compatible endpoint at router.huggingface.co/v1, and appending a fastest, cheapest or preferred suffix to a model id changes which provider serves the request. Provider rates are passed through without a markup. Monthly credit is $0.10 for free users, $2.00 for PRO and $2.00 per seat for Team and Enterprise organisations, and a request made with your own provider key is billed by that provider with the credits not applying. Enterprise adds identity provider connection over SAML or OIDC, SCIM user provisioning, audit logs and the ability to pin repository data to a US or EU region. Hugging Face holds SOC 2 Type II certification and states GDPR compliance.
What LangChain is
LangChain is a set of developer tools for building applications on large language models and then watching how those applications behave once they are running. Two pieces do most of the work. LangGraph is the framework, released under the MIT licence and free to use. LangSmith is the hosted service for tracing, evaluation and monitoring, and it is what the pricing pages describe. LangGraph ships built in memory that persists conversation history, human in the loop approval steps, and token by token streaming. Those are the three parts of an agent that are tedious to build by hand: remembering earlier turns, pausing so a person can approve an action before it happens, and returning output as it is produced rather than all at once. LangSmith records what a run actually did. Tracing SDKs cover Python, TypeScript, Go and Java, and the service ingests OpenTelemetry traces and works with the OpenAI SDK, the Anthropic SDK, the Vercel AI SDK and LlamaIndex, so it is not restricted to applications built with LangGraph. Tracing runs through an asynchronous callback handler and adds no latency to the traced application. Alerts can be raised through webhooks or PagerDuty. The Developer plan is free but capped at one seat, and includes 5,000 base traces a month before pay as you go charges begin. Plus is $39 per seat per month with no cap on seat count, 10,000 base traces a month and one free small serverless deployment. Base traces are retained for 14 days, and traces upgraded to extended retention are kept for 400 days. Usage past the allowances is metered: a compute unit costs $1.50 and a storage unit costs $1.00, deployments beyond the included one bill on vCPU hours and GiB hours, and tuned evaluators cost $0.01 in compute units per evaluation run on Plus. Enterprise is custom priced and billed on an annual invoice, adding custom single sign on, attribute based and role based access control, an SLA and a named support team. It is also where deployment opens up. LangSmith can run self hosted on a customer's own Kubernetes cluster, hybrid, or on the vendor's cloud, and the bring your own cloud option supports AWS, GCP and Azure. The managed cloud stores data in the GCP us-central-1 region, which matters if there are residency requirements to satisfy. LangChain states that it does not train on customer data.
We are not affiliated with either product. Upvote counts come from the published formula and neither position was paid for.