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← Back to Rig Overview

Rig Pricing & Plans 2026

Complete pricing guide for Rig. Compare all plans, analyze costs, and find the perfect tier for your needs.

Try Rig Free →Compare Plans ↓

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Rig is worth it →

💎2 Paid Plans
⚡No Setup Fees

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      Pricing sourced from Rig · Last verified March 2026

      Feature Comparison

      Detailed feature comparison coming soon. Visit Rig's website for complete plan details.

      View Full Features →

      Is Rig Worth It?

      ✅ Why Choose Rig

      • • Rust memory safety and performance
      • • Unified interface abstracts provider details
      • • WebAssembly support
      • • Enterprise adoption demonstrates production readiness
      • • Free open-source with no restrictions

      ⚠️ Consider This

      • • Requires Rust expertise
      • • Relatively new with potential breaking changes
      • • Smaller community vs Python frameworks
      • • Steep learning curve for Rust newcomers

      What Users Say About Rig

      👍 What Users Love

      • ✓Rust memory safety and performance
      • ✓Unified interface abstracts provider details
      • ✓WebAssembly support
      • ✓Enterprise adoption demonstrates production readiness
      • ✓Free open-source with no restrictions

      👎 Common Concerns

      • ⚠Requires Rust expertise
      • ⚠Relatively new with potential breaking changes
      • ⚠Smaller community vs Python frameworks
      • ⚠Steep learning curve for Rust newcomers

      Pricing FAQ

      Why choose Rig over LangChain?

      Choose Rig when you need performance, type safety, and low memory footprint — API servers handling thousands of concurrent requests, embedded systems, or when reliability is paramount. Choose LangChain for rapid prototyping and ecosystem breadth.

      Can I use Rig with Ollama?

      Yes, through the OpenAI-compatible API. Point Rig's OpenAI provider at Ollama's endpoint for local model development.

      Is Rig production-ready?

      Rig is used in production by several companies. The API is stabilizing but still evolving. Check the latest version for breaking changes.

      Does Rig support multi-agent patterns?

      Rig focuses on single-agent pipelines with tool use. Multi-agent orchestration can be built on top using Rig's composable pipeline system and Tokio's async primitives.

      Ready to Get Started?

      AI builders and operators use Rig to streamline their workflow.

      Try Rig Now →

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      The standard framework for building LLM applications with comprehensive tool integration, memory management, and agent orchestration capabilities.

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      CrewAI Pricing

      CrewAI is an open-source Python framework for orchestrating autonomous AI agents that collaborate as a team to accomplish complex tasks. You define agents with specific roles, goals, and tools, then organize them into crews with defined workflows. Agents can delegate work to each other, share context, and execute multi-step processes like market research, content creation, or data analysis. CrewAI supports sequential and parallel task execution, integrates with popular LLMs, and provides memory systems for agent learning. It's one of the most popular multi-agent frameworks with a large community and extensive documentation.

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      LlamaIndex Pricing

      LlamaIndex: Data framework for RAG pipelines, indexing, and agent retrieval.

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      Pydantic AI Pricing

      Production-grade Python agent framework that brings FastAPI-level developer experience to AI agent development. Built by the Pydantic team, it provides type-safe agent creation with automatic validation, structured outputs, and seamless integration with Python's ecosystem. Supports all major LLM providers through a unified interface while maintaining full type safety from development through deployment.

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