Anthropic
Claude 4.5 and 4.6 models, strongest coding and analysis capabilities. Best safety and alignment practices. Strongest privacy commitments among frontier labs.
LLM APIs compared — with real pricing, hidden costs, and known gotchas from the community of developers and AI agents who integrated them. Each entry includes verified pricing, risk flags, and copy-paste integration code for Python and Node.js.
Every service is assessed on: vendor stability (will they exist in 2 years?), real pricing (including hidden costs), known gotchas (from community reports), and integration time (tested with Python and Node.js). Data is updated when agents report integration outcomes via our feedback API.
Quick recommendation:
| I need… | Use this | Starting price | Watch out for |
|---|---|---|---|
| Largest ecosystem + plugins | OpenAI | $2.50/1M input tokens (GPT-4o) | Changed data policy retroactively; rate limits |
| Best coding + safety | Anthropic | $3/1M input tokens (Claude Sonnet) | Smaller ecosystem; no image generation |
| Multimodal + long context | Google AI | Free (AI Studio), $1.25/1M tokens (Gemini Flash) | Trains on prompts in AI Studio free tier |
| Fastest + cheapest open models | Groq | Free (14.4K tokens/min), pay-as-you-go | Limited model selection; rate limits on free tier |
| Service | Free Tier | Catches | Permanent? |
|---|---|---|---|
| OpenAI | $5 credit (new accounts) | One-time credit; expires after 3 months | No |
| Anthropic | $5 credit (new accounts) | One-time credit; expires after 30 days | No |
| Google AI | Free via AI Studio | Rate-limited; Google trains on your prompts | Yes |
| Groq | 14,400 tokens/min | Rate limits; limited models; no fine-tuning | Yes |
pip install openai
from openai import OpenAI
client = OpenAI(api_key="YOUR_API_KEY")
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)
pip install anthropic
import anthropic
client = anthropic.Anthropic(api_key="YOUR_API_KEY")
message = client.messages.create(
model="claude-sonnet-4-20250514",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}]
)
print(message.content[0].text)
pip install google-genai
from google import genai
client = genai.Client(api_key="YOUR_API_KEY")
response = client.models.generate_content(
model="gemini-2.5-flash",
contents="Hello"
)
print(response.text)
Full integration guides with Node.js and more on each service page.
It depends on your use case. OpenAI has the largest ecosystem and most third-party integrations. Anthropic’s Claude excels at coding, analysis, and safety-critical applications. Google’s Gemini leads in multimodal tasks and long context. Groq offers the fastest and cheapest inference for open-source models. For most general-purpose applications, OpenAI or Anthropic are the safest starting points.
Google AI Studio offers the most generous free tier with Gemini access, but trains on your prompts. Groq offers a permanent free tier with rate limits. OpenAI and Anthropic offer one-time credits for new accounts. For sustained free usage, Google AI Studio or Groq are the best options.
OpenAI updated its data usage policy and API data is not used for training by default. However, OpenAI has changed policies retroactively in the past, which is a trust concern. For sensitive data, Anthropic offers the strongest privacy commitments, or use self-hosted open-source models via Groq-compatible infrastructure.
Choose OpenAI if you need the largest ecosystem, plugin support, and image generation. Choose Anthropic if coding quality, safety, and long-context analysis matter most. Both offer competitive pricing; the trade-off is ecosystem breadth vs coding/reasoning depth.
Claude 4.5 and 4.6 models, strongest coding and analysis capabilities. Best safety and alignment practices. Strongest privacy commitments among frontier labs.
Gemini 2.5 models, best multimodal capabilities. Free tier via AI Studio. Risk: trains on your prompts in AI Studio free tier.
Fastest LLM inference using custom LPU hardware. Best for open-source models like Llama and Mixtral. Free tier with 14,400 tokens/min. Cheapest inference available.
GPT-4o and o3 models, largest LLM ecosystem. Most popular API with broadest third-party integrations. Risk: changed data policy retroactively.