how to get free Claude API for practicing Gen Ai

[Devansh-611]

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Pls suggest how can i access free Claude API for practice and to make beginner level Gen AI Projects using LangChain

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[TeWei02]

There isn't a permanently free tier for the Claude API - the free Claude on claude.ai is the web app, and it doesn't hand out an API key. The Console only has whatever trial credit a new account happens to start with.

For LangChain practice you don't need Claude specifically. Several providers give you a real free tier, and most of them expose an OpenAI-compatible endpoint, so your LangChain code stays identical and you just point it somewhere else:

• Google AI Studio (Gemini) - free API key, no card required, daily quota on the Flash models. Use langchain-google-genai.
• Groq - free tier with rate limits, very fast, hosts Llama/Qwen/Mistral. OpenAI-compatible.
• OpenRouter - models with the :free suffix cost nothing, daily cap applies. OpenAI-compatible.
• GitHub Models - since you're already on GitHub, a personal access token gets you a free inference endpoint at https://models.github.ai/inference. OpenAI-compatible.
• Ollama - runs on your own machine, no key at all.

Groq example:

import os
from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model="llama-3.3-70b-versatile",
    api_key=os.environ["GROQ_API_KEY"],
    base_url="https://api.groq.com/openai/v1",
)

print(llm.invoke("Explain embeddings in two sentences.").content)

Gemini is the same idea, different class:

from langchain_google_genai import ChatGoogleGenerativeAI

llm = ChatGoogleGenerativeAI(
    model="gemini-2.0-flash",
    api_key=os.environ["GOOGLE_API_KEY"],
)

Or fully local, after ollama pull llama3.2:

from langchain_ollama import ChatOllama

llm = ChatOllama(model="llama3.2")

Everything else in a beginner project - prompt templates, chains, output parsers, vector stores - is provider-agnostic, so any tutorial works as long as you swap the model object.

If you do want Claude specifically later, adding $5 to the Anthropic Console and switching to ChatAnthropic from langchain-anthropic is a two-line change.

The only thing to watch: free tiers change often (models get retired, quotas move), so check the provider's pricing page before you build a project around one specific free model.