# Ratio1 vs Rivet.dev

Ratio1 records 0 monthly visits with 0% month-over-month growth and Contact for Pricing pricing. Rivet.dev records 21,359 monthly visits with -44.3% growth and Freemium, Contact for Pricing pricing.

| Metric | [Ratio1](https://openaitools.app/tool/ratio1) | [Rivet.dev](https://openaitools.app/tool/rivet-dev) |
| :--- | :--- | :--- |
| Website URL | https://ratio1.ai | https://rivet.dev |
| Categories | AI Developer Tools, Blockchain, No-Code&Low-Code, AI App Builder | AI Agent, AI Workflow, AI Developer Tools, AI App Builder |
| Pricing Model | Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 0 | 21,359 |
| MoM Growth Rate | 0% | -44.3% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 10,710 |
| Review Score | 3.6 | 4.5 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Ratio1

Ratio1 describes itself as an AI operating system where the compute layer is decentralized and the incentive layer is on-chain. Instead of renting virtual machines from a single hyperscaler, workloads run as managed containers and native applications orchestrated across a network of consenting edge nodes spread over many countries. The project reports a mainnet protocol launch, a node-operator dApp, an explorer and a Uniswap liquidity pool, with a roadmap that has moved past 200 node licenses sold.

The product splits into two halves. Ratio1 DNA is the technical core — a decentralized neuro-symbolic autonomous processing framework with encrypted inference and learning (EDIL) at its center, aimed at keeping models and data private while still allowing distributed training and inference. On top of that sits a low-code app development layer and a marketplace of core apps, so teams can launch AI projects without deep infrastructure expertise.

Economically, the ecosystem runs on $R1, a utility token used to pay for GPU compute, provision resources and acquire licenses. Node Deeds are the ownership instrument: their price rises with demand, which the team frames as an anti-inflationary mechanism. The team stresses that $R1 is not a security and confers no profit or voting rights, and that certain jurisdictions are restricted from participating in license sales.

**Pricing & Plans:** Ratio1 publishes a detailed, token-denominated price table for its compute catalog rather than flat SaaS plans. Generic apps range from about $3/month for a MICRO worker (0.25 core, 0.5 GB RAM) up to roughly $375/month per ULTRA2 worker; services and native apps are priced separately, and GPU add-ons run from about $36/month for an entry-class RTX tier up to about $900/month for A100/H100-class hardware. A minimum of two workers is typically required for generic apps. Ratio1 states it takes no fees or commissions on deployments, and prices can shift with compute-market conditions.

- **Decentralized neuro-symbolic framework:** Ratio1 DNA is a distributed neuro-symbolic autonomous processing framework with encrypted inference and learning, designed to keep training and inference private across many nodes.
- **Low-code AI app development:** A low-code layer and a library of core apps let teams assemble and ship AI projects quickly, regardless of project scope or in-house infrastructure expertise.
- **Tokenized compute economy:** The $R1 utility token pays for GPU compute, resource provisioning and license acquisition across the ecosystem, with no platform fee taken on deployments.
- **Node Deeds operating licenses:** Anti-inflationary Node Deeds let participants link a license to a node and earn from contributing compute, with pricing that rises as demand grows.
- **Edge-node orchestration and hosting:** Managed orchestration for cloud-native containers and native apps, including TLS/HTTPS tunneling, endpoint certificates, distributed storage and in-memory databases.

**Strengths:** Genuinely differentiated architecture that fuses decentralized compute with token incentives; Transparent, itemized compute pricing published openly for every worker tier; Active development with a public roadmap, blog and shipped milestones; No platform commission taken on deployments, per the project's own statements

**Limitations:** Requires familiarity with tokens, wallets and node licenses, which raises the onboarding barrier; Compute prices are denominated in a volatile token and shift with market conditions; Restricted-jurisdiction list for license purchases limits availability for some users

[Profile (Markdown)](https://openaitools.app/tool/ratio1.md)

## Rivet.dev

At its core Rivet replaces the container per agent with an in-process primitive. An Actor runs inside your existing Node.js or Bun backend rather than in its own container or VM, which is why Rivet reports cold starts measured in single-digit milliseconds and a footprint of tens of kilobytes per Actor instead of hundreds of megabytes. Each Actor carries a SQLite database for memory, can access a filesystem and shell, sleeps when idle, and wakes with its durable state ready for the next request.

The platform handles the operational pieces teams usually build themselves: fault tolerance that reschedules Actors when a node goes down, multi-region placement that routes requests to wherever an Actor currently lives, end-to-end type safety where Actor definitions generate client types, and scheduling via cron or self-set timestamps. Storage is pulled apart into two tiers — a fast SSD for instant writes and object storage that settles writes at a fraction of the cost — so running many small databases stays affordable.

Rivet positions itself as infrastructure for the "agentic era" and can be deployed as a managed cloud, inside your own VPC through a bring-your-own-cloud model, or fully self-hosted down to air-gapped networks. It is open source under Apache 2.0, backed by Y Combinator and a16z Speedrun, and integrates with popular coding agents and frameworks.

**Pricing & Plans:** Rivet Cloud uses a plan-plus-nodes model. The control plane is Free ($0) for prototyping, Hobby at $10/month, Team at $120/month, and Enterprise at $900/month, each raising control-plane redundancy, Actor Node caps, and support. Actor Nodes are billed per month on top, from $4.20 (R-5) to $94.50 (R-160). Self-hosting is free and open source under Apache 2.0, and startups from Y Combinator or a16z Speedrun get 50% off the Team plan for 12 months.

- **Durable actors with persistent state:** Every Actor gets a SQLite database and a filesystem, so an agent's memory and progress survive restarts and idle periods without a separate database.
- **Lightweight secure sandboxing:** Run untrusted or AI-generated code on your own infrastructure with fine-grained control over network access, filesystem permissions, and resource limits.
- **Fault tolerance and workflows:** A node failure reschedules its Actors elsewhere with state intact, and multi-step work replays after a crash — with no checkpointing harness to build yourself.
- **Realtime and multiplayer:** Address an Actor directly over HTTP or hold a live WebSocket, and use the React SDK to subscribe components to an Actor's state in real time.
- **One-binary deployment and observability:** Ship with a single stateless Rust binary, embeds storage in S3-compatible buckets, and emits OpenTelemetry traces, metrics, and logs to your existing collector.

**Strengths:** Four-digit millisecond cold starts and a very small per-Actor memory footprint let a single server host far more agents; Open source (Apache 2.0) with a single Rust binary, so it can be self-hosted, run in a VPC, or air-gapped; Durable state via per-Actor SQLite plus object-storage-backed tiers keeps agents restart-safe and cheap; Strong developer ergonomics: typed SDKs, a React SDK, WebSocket networking, and OpenTelemetry baked in

**Limitations:** Requires Node.js or Bun and a working Rust-based control plane deployment for self-hosting, so it favors backend engineers over no-code users; Advanced durability and sandboxing concepts (Actors, WarpDrive storage) carry a learning curve; Managed cloud cost scales with Actor Nodes, which can climb for many mid-sized/sized nodes; Enterprise features like multi-tenancy and hardened compliance guidance sit behind sales conversations

[Profile (Markdown)](https://openaitools.app/tool/rivet-dev.md)

## Frequently Asked Questions

### How do Ratio1 and Rivet.dev compare in monthly traffic?

Ratio1 has 0 monthly visits, while Rivet.dev has 21,359. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Ratio1 has a month-over-month growth rate of 0%; Rivet.dev has -44.3%.

### How does pricing compare?

Ratio1: Contact for Pricing. Ratio1 publishes a detailed, token-denominated price table for its compute catalog rather than flat SaaS plans. Generic apps range from about $3/month for a MICRO worker (0.25 core, 0.5 GB RAM) up to roughly $375/month per ULTRA2 worker; services and native apps are priced separately, and GPU add-ons run from about $36/month for an entry-class RTX tier up to about $900/month for A100/H100-class hardware. A minimum of two workers is typically required for generic apps. Ratio1 states it takes no fees or commissions on deployments, and prices can shift with compute-market conditions. Rivet.dev: Freemium, Contact for Pricing. Rivet Cloud uses a plan-plus-nodes model. The control plane is Free ($0) for prototyping, Hobby at $10/month, Team at $120/month, and Enterprise at $900/month, each raising control-plane redundancy, Actor Node caps, and support. Actor Nodes are billed per month on top, from $4.20 (R-5) to $94.50 (R-160). Self-hosting is free and open source under Apache 2.0, and startups from Y Combinator or a16z Speedrun get 50% off the Team plan for 12 months.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) |
| 2 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Serverless cloud infrastructure for AI and data workloads | [.md](https://openaitools.app/tool/modal-com.md) |
| 3 | [Mastra](https://openaitools.app/tool/mastra) | 318,954 | -5% | Freemium, Contact for Pricing | The TypeScript framework for building, deploying, and observing AI agents | [.md](https://openaitools.app/tool/mastra.md) |
| 4 | [Lightning AI](https://openaitools.app/tool/lightning-ai) | 272,562 | -12.3% | Freemium, Paid, Contact for Pricing | The AI cloud built by the creators of PyTorch Lightning | [.md](https://openaitools.app/tool/lightning-ai.md) |
| 5 | [Agent 37](https://openaitools.app/tool/agent-37) | 180,030 | +24.2% | Free Trial, Contact for Pricing | The low-cost cloud sandbox where AI agents actually live | [.md](https://openaitools.app/tool/agent-37.md) |
| 6 | [Coder](https://openaitools.app/tool/coder) | 149,417 | -12.8% | Free Trial, Contact for Pricing, Free | Self-hosted cloud development environments and AI coding agents for enterprise teams | [.md](https://openaitools.app/tool/coder.md) |
| 7 | [boat](https://openaitools.app/tool/boat) | 66,870 | +520.8% | Free Trial, Paid | Persistent Ubuntu cloud VMs built for AI agent factories | [.md](https://openaitools.app/tool/boat.md) |
| 8 | [InsForge](https://openaitools.app/tool/insforge) | 60,257 | -11.3% | Freemium, Contact for Pricing, Free | Agent-native cloud infrastructure that lets coding agents run the whole backend stack | [.md](https://openaitools.app/tool/insforge.md) |
| 9 | [exe.dev](https://openaitools.app/tool/exe-dev) | 60,103 | -26.4% | Freemium, Paid | Cloud Linux VMs built for developers and their AI agents | [.md](https://openaitools.app/tool/exe-dev.md) |
| 10 | [Lium](https://openaitools.app/tool/lium-io) | 58,483 | -13.9% | Paid | Agent-first GPU cloud: rent NVIDIA pods by the second from your terminal or API | [.md](https://openaitools.app/tool/lium-io.md) |

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Source: https://openaitools.app/compare/ratio1-vs-rivet-dev

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