Every LLM model, agent framework, no-code builder, hosting platform, and open-source tool — with pricing, strengths, and honest guidance on when to use each.
Pricing shown is approximate as of early 2026 (input / output per million tokens). All models are accessible via API. Context window = how much text the model can process at once.
| Model | Company | Context Window | Pricing (Input/Output per 1M tokens) | Best For |
|---|---|---|---|---|
| GPT-4o | OpenAI | 128K | $5 / $15 | General purpose, vision, function calling |
| o3 | OpenAI | 200K | $10 / $40 | Complex multi-step reasoning, math, coding |
| Claude 3.5 Sonnet | Anthropic | 200K | $3 / $15 | Long documents, instruction-following, agents |
| Claude 3 Opus | Anthropic | 200K | $15 / $75 | Highest reasoning quality, complex tasks |
| Claude 3 Haiku | Anthropic | 200K | $0.25 / $1.25 | Fast, cheap, high-volume tasks |
| Gemini 1.5 Pro | 1M | $3.50 / $10.50 | Extremely long context (books, large codebases) | |
| Gemini 2.0 Flash | 1M | $0.10 / $0.40 | Speed + cost, multimodal, real-time apps | |
| Mistral Large | Mistral AI | 128K | $3 / $9 | European alternative, strong in French/multilingual |
| Grok 2 | xAI | 131K | $2 / $10 | Real-time data access via X, current events |
Open source models are free to use — you just need hardware (or a hosting service like Groq/Together.ai). Great for privacy, cost control, and customization.
| Model | Company | Size Options | Cost | Best For |
|---|---|---|---|---|
| Llama 3.3 | Meta | 8B, 70B | Free (self-host) | Best open-source general model. Rivals GPT-4o in many benchmarks. |
| Mistral 7B / Mixtral 8x7B | Mistral AI | 7B, 47B | Free (self-host) | Fast, efficient, great for constrained environments |
| Phi-3 / Phi-4 | Microsoft | 3.8B, 14B | Free (self-host) | Small but surprisingly capable. Runs on a laptop. |
| Gemma 2 | 2B, 9B, 27B | Free (self-host) | Google's open model. Good reasoning for its size. | |
| Qwen 2.5 | Alibaba | 0.5B–72B | Free (self-host) | Excellent multilingual, strong coding, many size options |
| DeepSeek R1 | DeepSeek | 7B–671B | Free (self-host) | Reasoning model. Competitive with o1 at a fraction of cost. |
| Your Need | Recommended Model | Why |
|---|---|---|
| Best all-around, cost-effective | Claude 3.5 Sonnet | Best instruction-following, long context, great for agents |
| Cheapest for high volume | Claude 3 Haiku or Gemini Flash | ~$0.10-0.25 per million tokens |
| Hardest reasoning tasks | o3 or Claude 3 Opus | Highest accuracy on complex multi-step problems |
| Very long documents (100K+ words) | Gemini 1.5 Pro | 1M token context window, unmatched |
| Free, run locally, privacy | Llama 3.3 70B via Ollama | Best open-source quality, runs locally |
| Fast local model on a laptop | Phi-3 Mini or Mistral 7B | Runs on CPU, no GPU needed |
These tools let you build agents without writing code — or with very minimal code. Ideal starting points for business users and non-developers.
These are code-first frameworks for developers. They give you full control over agent behavior, tool use, memory, and multi-agent coordination.
These services let you call any LLM via API — including open-source models — without running your own hardware. Great for trying different models at low cost.
pip install anthropic to get started.Run AI completely free and privately on your own machine. No API keys, no monthly bills, no data leaving your computer. These tools make it trivially easy.
ollama run llama3. macOS, Linux, Windows. Creates a local API compatible with OpenAI clients. Most popular local model runner.These are purpose-built AI applications for specific tasks. Often the fastest way to get value — no building required.
Estimate the API cost and time for a multi-step agentic loop before you build it.
How the leading models perform on tasks that actually matter for agents — not just IQ tests. Updated Q1 2026.
Benchmarks are snapshots. Model providers update models frequently. Always run your own evals on your specific task before picking a model for production.
| Model | Tool Calling Accuracy | Long-Context Retrieval | Multi-Step Reasoning | Instruction Following | Cost Efficiency | Speed |
|---|---|---|---|---|---|---|
| Claude 3.5 Sonnet Best Overall | 97% | 96% | 92% | 94% | Fast | |
| GPT-4o | 95% | 88% | 91% | 92% | Fast | |
| o3 (OpenAI) Best Reasoning | 89% | 85% | 98% | 88% | Slow | |
| Gemini 1.5 Pro Best Long Context | 87% | 99% | 86% | 87% | Medium | |
| Gemini 2.0 Flash Best Value | 84% | 81% | 79% | 82% | Very Fast | |
| Llama 3.3 70B (open source) | 81% | 77% | 84% | 83% | (free) | Varies |
| DeepSeek R1 (open source) | 78% | 74% | 91% | 80% | (free) | Slow |
Drag-and-drop sandboxes where you can wire together LLM nodes, tool nodes, and memory nodes to prototype multi-agent systems — no code required.
Full visual canvas: LLM nodes, tool nodes, code nodes, condition branches, and loops. Build complex agentic pipelines and publish as an API or web app. Free self-hosted option.
Open Dify →Connect any service with AI reasoning in the middle. Trigger on email, webhook, schedule — run Claude or GPT on the data — output to Slack, CRM, database. 400+ connectors.
Open n8n →Open-source drag-and-drop UI for LangChain flows. Chain LLM nodes, retriever nodes, and agent nodes. Best for developers who want visual + code flexibility.
Open Flowise →Official OpenAI visual canvas for building agents with web search, code interpreter, file search, and handoffs. 75% less time vs. coding from scratch per OpenAI benchmarks.
Open Agent Builder →