Major LLM Providers
- OpenAI
- Anthropic
- Google AI
- Cohere
OpenAI
GPT-5, GPT-5 Mini, GPT-5 Nano, o3, DALL-E, WhisperIndustry leader in large language models. GPT-5 for coding & agents, o3 for complex reasoning.Best for: Production AI apps, coding, agentic tasks, embeddingsModels (2025):- GPT-5 - State-of-the-art coding & agents (74.9% SWE-bench, 88% Aider)
- GPT-5 Mini - Balanced performance & cost
- GPT-5 Nano - Ultra-fast & affordable
- GPT-5 Pro - Highest quality with scaled reasoning
- o3 - Advanced reasoning model
- DALL-E 3 - Image generation
- Whisper - Speech-to-text
- GPT-5: 10 output
- GPT-5 Mini: 2 output
- GPT-5 Nano: 0.40 output
- Prompt caching: $0.125/1M tokens
- 45% fewer factual errors with web search
- 80% fewer hallucinations vs o3
- 4 reasoning levels: minimal, low, medium, high
- Parallel & sequential tool calling
- Available to free users
Fast Inference Providers
Groq
Ultra-fast LLM inference with LPU500+ tokens/sec, lowest latency in industry. Perfect for real-time applications.Speed: Fastest (LPU technology)Models: Llama 3.1, Mixtral, GemmaBest for: Real-time AI, chatbots, low-latency requirementsPricing: $ (generous free tier)Get Started
Together AI
Fast inference + fine-tuningOpen-source models with custom fine-tuning capabilities.Best for: Custom models, fine-tuning, open-source LLMsFeatures:
- Fine-tuning support
- Open-source models
- Competitive pricing
- Fast inference
Fireworks AI
Production-grade inferenceFast inference for open models with function calling support.Best for: Serverless AI, function calling, production scaleFeatures:
- Serverless deployment
- Function calling
- Open-source models
- Fast performance
Aggregators & Multi-Model Platforms
OpenRouter
Unified API for 300+ modelsAccess OpenAI, Anthropic, Google, Groq, Meta through one API with automatic fallbacks.Best for: Multi-model apps, cost optimization, avoiding vendor lock-inFeatures:
- 300+ models
- Automatic fallbacks
- Cost optimization
- Single API
Replicate
Run open-source modelsStable Diffusion, LLaMA, Whisper, and more. Pay-per-use serverless.Best for: Open-source models, image/video generation, experimentationFeatures:
- Open-source models
- Image generation
- Video generation
- Serverless deployment
AI Frameworks & Orchestration
LangChain
Framework for building LLM appsv1.0 alpha released! New create_agent built on LangGraph runtime.Best for: RAG, chatbots, complex LLM workflowsLatest Features (2025):
- LangChain 1.0 alpha with unified agent
- Built on LangGraph runtime
- Python & JavaScript support
- Enhanced observability in LangSmith
- Open Agent Platform (no-code builder)
LangGraph
Build stateful AI agents (GA)Production-ready platform for deploying long-running autonomous agents.Best for: Complex agents, multi-step workflows, production deploymentsLatest Features (2025):
- LangGraph Platform (Generally Available)
- Node caching & deferred nodes
- Revision queueing for smooth deploys
- Trace mode with LangSmith integration
- Dynamic tool calling
- Pre/Post model hooks
- Built-in web search & RemoteMCP
- Studio v2 (runs locally)
- 1-click GitHub deployment
CrewAI
Multi-agent orchestrationRole-based agents collaborating on tasks. Hierarchical or sequential workflows.Best for: Multi-agent systems, collaborative AI, task delegation
- Multi-agent
- Role-based
- Collaborative workflows
- Easy setup
Vercel AI SDK
TypeScript AI frameworkStreaming responses, function calling, React hooks. Built for Next.js.Best for: Next.js apps, edge AI, streaming UIs, React integration
- TypeScript-first
- Streaming support
- React hooks
- Edge compatible
LlamaIndex
Data framework for LLMsData connectors, indexes, query engines. Optimized for RAG.Best for: RAG applications, data ingestion, structured retrieval
- Data connectors
- RAG-optimized
- Query engines
- Indexing strategies
AutoGen
Multi-agent framework (Microsoft)Conversable agents with human-in-the-loop and code execution.Best for: Research, multi-agent collaboration, code generation
- Multi-agent
- Code execution
- Human-in-loop
- Microsoft Research
Provider Comparison (2025)
| Provider | Speed | Cost | Context | Best For |
|---|---|---|---|---|
| OpenAI GPT-5 | Fast | $$ | 272K | Coding, agents, production AI |
| Anthropic Sonnet 4.5 | Medium | $$$ | 1M | Best coding, autonomous agents |
| Google Gemini 2.5 Pro | Medium | $$ | 1M-2M | Reasoning, multimodal, cost-effective |
| Groq | ⚡ Fastest | $ | Varies | Real-time, low latency |
| OpenRouter | Fast | $$ | Varies | Multi-model flexibility |
| Together AI | Fast | $$ | Varies | Open models, fine-tuning |
Pricing Comparison (per 1M tokens - 2025)
Input Tokens:- GPT-5: $1.25
- GPT-5 Mini: $0.25
- GPT-5 Nano: $0.05
- Claude Sonnet 4.5: $3.00
- Claude Opus 4.1: $15.00
- Gemini 2.5 Pro (standard): $1.25
- Gemini 2.5 Pro (long context): $2.50
- Gemini 2.0 Flash: $0.10
- GPT-5: $10.00
- GPT-5 Mini: $2.00
- GPT-5 Nano: $0.40
- Claude Sonnet 4.5: $15.00
- Claude Opus 4.1: $75.00
- Gemini 2.5 Pro (standard): $10.00
- Gemini 2.5 Pro (long context): $15.00
- Gemini 2.0 Flash: $0.40
Edge Functions vs Custom SDKs
- Supabase Edge Functions
- Provider SDKs
Deno-based serverless functionsPros:
- Direct database access
- Global deployment
- TypeScript/JavaScript
- Built-in secrets management
- Free tier included
- Deno runtime only
- Supabase ecosystem
Memory & State Management
Zustand
Lightweight React statePerfect for managing AI conversation state in React apps.
- Minimal boilerplate
- React integration
- TypeScript support
- Persistent storage
LangChain Memory
Built-in conversation memoryBuffer, summary, entity, and vector store memory types.
- Conversation history
- Summary memory
- Entity extraction
- Vector store integration
Upstash Redis
Serverless Redis for statePerfect for storing conversation history and session data.
- Serverless
- Low latency
- Global replication
- REST API
Vercel KV
Edge-compatible key-value storeBuilt on Upstash, perfect for Next.js edge functions.
- Edge-compatible
- Low latency
- Simple API
- Vercel integration
Decision Trees
Choosing an LLM Provider
Choosing an LLM Provider
Need industry-leading performance? → OpenAI (GPT-4)Long documents & safety-critical? → Anthropic (Claude)Real-time, low-latency chatbots? → GroqWant flexibility across providers? → OpenRouterOpen-source models & fine-tuning? → Together AIImage/video generation? → ReplicateCost-effectiveness & multimodal? → Google AI (Gemini)
Choosing an AI Framework
Choosing an AI Framework
Building RAG applications? → LangChain + LlamaIndexComplex multi-step agents? → LangGraphMulti-agent collaboration? → CrewAINext.js with streaming UI? → Vercel AI SDKResearch & experimentation? → AutoGenSimple chat integration? → Direct SDK (OpenAI, Anthropic)
Recommended Combinations
1
Production RAG App
OpenAI (embeddings) + Pinecone (vectors) + LangChain (orchestration)
2
Real-time Chatbot
Groq (inference) + Upstash Redis (state) + Vercel AI SDK (streaming)
3
Cost-Optimized
OpenRouter (multi-model) + Chroma (vectors) + Supabase Edge Functions
4
Enterprise AI
Anthropic Claude (safety) + Weaviate (hybrid search) + LangGraph (agents)

