โ† Back to Course|AI API Guide

๐Ÿ”Œ AI APIs โ€” Developer's Comparison Guide

Every major AI provider offers an API โ€” a way to call AI models programmatically from your own code. This guide compares the top options: pricing, strengths, and when to use each.

๐ŸŸฃ
Best for complex tasks
Anthropic API
Claude 3.5, Claude 3.7 Sonnet, Haiku
Best reasoning, long context (200K), safest for production
Sonnet: $3/$15 per 1M tokens (in/out)
๐ŸŸข
Most popular
OpenAI API
GPT-4o, o3, o1, GPT-4o-mini
Widest ecosystem, best plugin/tool support, most integrations
GPT-4o: $2.50/$10 per 1M tokens
๐Ÿ”ต
Largest context window
Google AI (Gemini API)
Gemini 1.5 Pro, Flash, 2.0
Massive context window (2M tokens), multimodal, generous free tier
Flash: Free tier + $0.075/$0.30 per 1M
๐Ÿ”ด
Best value API
Mistral API
Mistral Large, Medium, Small
Fast, affordable, European (GDPR-friendly), good for coding
Small: $0.20/$0.60 per 1M tokens
โญ
Fastest inference
Groq API
Llama 3.1 70B, Mixtral, Gemma
Extremely fast inference (LPU chips), great for real-time apps
Llama 70B: $0.59/$0.79 per 1M tokens
๐Ÿค—
Most model variety
Hugging Face Inference API
700K+ open-source models
Access to any open-source model via one API, flexible
Free tier + pay-per-use from $0.06/hr

โšก Hello World โ€” Your First API Call

Every AI API follows the same pattern: authenticate with an API key, send a message, receive a response. Here is the same call in Python for the three most popular APIs:

Anthropic (Claude)
pip install anthropic

import anthropic
client = anthropic.Anthropic(api_key="sk-ant-...")

message = client.messages.create(
ย ย model="claude-3-5-sonnet-20241022",
ย ย max_tokens=1024,
ย ย messages=[{"role": "user", "content": "Hello!"}]
)
print(message.content[0].text)
OpenAI (GPT)
pip install openai

from openai import OpenAI
client = OpenAI(api_key="sk-...")

response = client.chat.completions.create(
ย ย model="gpt-4o",
ย ย messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)
Ollama โ€” Local (no API key!)
pip install ollama

import ollama

response = ollama.chat(
ย ย model='llama3.1',
ย ย messages=[{'role': 'user', 'content': 'Hello!'}]
)
print(response['message']['content'])

๐Ÿ’ฐ Cost Calculator โ€” Rough Guide

APIs charge per token (roughly 1 token โ‰ˆ 0.75 words). Here is what typical usage costs:

TaskTokens (approx)Claude SonnetGPT-4o
Single Q&A500$0.001$0.002
Code review (1 file)2,000$0.006$0.010
Summarize 10-page doc5,000$0.015$0.025
1,000 Q&As per month500K$1.50$2.50
Small app (10K API calls)5M$15.00$25.00

Prices above are estimates. Always check current pricing at each provider's website. API costs are generally very low for individual developers.

๐Ÿ’ก Which API Should I Use?

  • Building a product that needs the best reasoning? โ†’ Anthropic Claude API
  • Need the widest integration ecosystem (LangChain, etc.)? โ†’ OpenAI API
  • Need massive context (millions of tokens)? โ†’ Google Gemini 1.5 Pro API
  • Want the cheapest option with decent quality? โ†’ Mistral Small or Groq
  • Want free, no API key, private? โ†’ Ollama (local)
  • Experimenting / learning? โ†’ Anthropic or OpenAI โ€” great docs, SDKs for all languages
โ†’ Free Local Alternative (Ollama)โ†’ Hugging Face Models