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Best AI & LLM APIs for Developers
Large language models and AI APIs for building intelligent applications. Compare features, pricing, and find the right tool for your project.
Quick Comparison
| Tool | Best For | Free Tier | Starting Price | |
|---|---|---|---|---|
| OpenAI API GPT-4 and the most popular LLM API | Most AI applications | Yes | Free | Try It |
| Anthropic Claude Safe, helpful AI assistant | Long document analysis | No | $0.008/1K tokens | Try It |
| Groq Fastest inference for open models | Real-time applications | Yes | Free | Try It |
| Mistral AI Efficient open-weight models | Cost-effective AI | Yes | Free | Try It |
All AI & LLM APIs Tools
OpenAI API
GPT-4 and the most popular LLM API
OpenAI is the default choice for most AI applications. GPT-4 remains the most capable model, but alternatives are catching up.
Best for:
Most AI applicationsComplex reasoning tasksMultimodal apps
Anthropic Claude
Safe, helpful AI assistant
Claude is the best choice for tasks requiring long context or nuanced understanding. The 200K context window is unmatched.
Best for:
Long document analysisComplex reasoningAgentic applications
Groq
Fastest inference for open models
Groq is the fastest LLM inference available. Perfect when latency matters and you're okay with open-source models.
Best for:
Real-time applicationsCost-sensitive projectsOpen model advocates
Mistral AI
Efficient open-weight models
Mistral offers the best balance of cost and capability. Great for teams wanting open models or European data residency.
Best for:
Cost-effective AIEuropean companies (GDPR)Self-hosting
Head-to-Head Comparisons
Guides for AI & LLM APIs
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AI Model Selection & Evals: A Practical Playbook for 2026
A field-tested guide to choosing models, building evals, and adopting new releases without breaking production workflows.
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AI Model Comparison That Actually Matters in 2026
A practical framework for comparing models using real tasks, objective evals, and shipping constraints instead of hype.
17 min read
LLM Eval Tooling Stack: What to Build vs Buy in 2026
A detailed blueprint for logging, datasets, judging, and reporting so evals are repeatable, trusted, and useful.