# OpenRouter vs Rivet.dev

OpenRouter records 19,941,437 monthly visits with -6.2% month-over-month growth and Paid pricing. Rivet.dev records 21,359 monthly visits with -44.3% growth and Freemium, Contact for Pricing pricing.

| Metric | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | [Rivet.dev](https://openaitools.app/tool/rivet-dev) |
| :--- | :--- | :--- |
| Website URL | https://openrouter.ai | https://rivet.dev |
| Categories | AI API, Large Language Models (LLMs), AI Models | AI Agent, AI Workflow, AI Developer Tools, AI App Builder |
| Pricing Model | Paid | Freemium, Contact for Pricing |
| Monthly Visits | 19,941,437 | 21,359 |
| MoM Growth Rate | -6.2% | -44.3% |
| Primary Market | United States | United States |
| Direct Visits | 11,964,259 | 10,710 |
| Review Score | 4.8 | 4.5 |
| Saved Count | 3 | 0 |
| Supported Platforms | Website | Website |

## OpenRouter

OpenRouter solves a practical integration problem: the AI model landscape is fragmented across OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek, and many smaller labs, each with its own API, pricing, and reliability characteristics. OpenRouter normalizes them behind one OpenAI-compatible interface, so switching from one model to another is a matter of changing a model string rather than rewriting your integration. The catalogue spans text, image, video, speech, transcription, embedding, and reranking models.

A core differentiator is intelligent routing and failover. The auto-router picks a model and provider per request based on live marketplace data, aiming to keep responses fast and available while controlling cost. Failover is on by default, so if a provider goes down or hits a rate limit, another can serve the request without you writing retry logic. You can also bring your own provider keys and keep negotiated rates while still tracking everything centrally.

For teams and enterprises, OpenRouter adds governance features: workspaces and budgets, audit logs, SSO and SCIM, provider allow-lists, zero-data-retention policies, and region-specific routing. The public models and rankings pages make it a useful reference for comparing capability and price across the ecosystem. Pricing is usage-based, pay-as-you-go with no subscription required, plus enterprise arrangements for larger organizations.

**Pricing & Plans:** Pay-as-you-go usage-based pricing with no subscription required; enterprise plans add governance, SLAs, and private endpoints. Check openrouter.ai for current rates.

- **Unified model access:** Six hundred plus models for text, image, video, audio, transcription, embeddings, and reranking behind one OpenAI-compatible API.
- **Automatic failover:** Requests are rerouted to another provider on outages or rate limits by default, so you don't write custom retry logic.
- **Intelligent routing:** The auto-router selects a model and provider per request using live marketplace performance and pricing data.
- **Unified billing and dashboards:** Track spend, tokens, and usage per model, provider, and team member in one place, including bring-your-own-key usage.
- **Enterprise governance:** Workspaces, budgets, SSO and SCIM, audit logs, provider allow-lists, zero-data-retention, and regional routing.

**Strengths:** Single integration point across hundreds of models from many providers; Built-in failover reduces the engineering cost of staying available; Transparent, usage-based pricing with per-model cost visibility; Strong enterprise controls including SSO, audit logs, and data retention policy

**Limitations:** Adds a routing layer and third-party dependency between you and model vendors; You rely on OpenRouter's uptime and policies for every request; Advanced governance features are oriented toward business and enterprise tiers

[Profile (Markdown)](https://openaitools.app/tool/openrouter-ai.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 OpenRouter and Rivet.dev compare in monthly traffic?

OpenRouter has 19,941,437 monthly visits, while Rivet.dev has 21,359. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

OpenRouter has a month-over-month growth rate of -6.2%; Rivet.dev has -44.3%.

### How does pricing compare?

OpenRouter: Paid. Pay-as-you-go usage-based pricing with no subscription required; enterprise plans add governance, SLAs, and private endpoints. Check openrouter.ai for current rates. 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 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Offers robust serverless inference and GPU clusters for open models, but features a narrower selection of proprietary models. | [.md](https://openaitools.app/tool/together-ai.md) |
| 2 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | Features adaptive LLM routing and automatic failover, but lacks OpenRouter's massive ecosystem of community-rated model endpoints. | [.md](https://openaitools.app/tool/orcarouter.md) |
| 3 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Delivers exceptional inference speed and high-throughput performance for open models, but focuses primarily on hosted weights rather than multi-provider aggregation. | [.md](https://openaitools.app/tool/fireworks-ai.md) |
| 4 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | Provides self-hosted and Python SDK control over 100+ LLMs, but requires setting up your own infrastructure. | [.md](https://openaitools.app/tool/litellm.md) |
| 5 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Low-cost serverless inference APIs for 200+ open models | [.md](https://openaitools.app/tool/deep-infra.md) |
| 6 | [ZenMux](https://openaitools.app/tool/zenmux) | 444,394 | +16.7% | Freemium, Paid | One unified API for 100+ AI models, with insurance when output disappoints | [.md](https://openaitools.app/tool/zenmux.md) |
| 7 | [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) |
| 8 | [SiliconFlow](https://openaitools.app/tool/siliconflow) | 276,303 | -10.5% | Pay-as-you-go | One API for fast, cost-predictable inference on LLMs and multimodal models | [.md](https://openaitools.app/tool/siliconflow.md) |
| 9 | [AI/ML API](https://openaitools.app/tool/ai-ml-api) | 232,946 | -20.1% | Pay-as-you-go credits (free to start); enterprise custom pricing on request | Aggregates hundreds of foundation models and agentic tools under one endpoint, but lacks OpenRouter's community popularity and extensive prompt tuning. | [.md](https://openaitools.app/tool/ai-ml-api.md) |
| 10 | [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | -9.4% | Freemium, Paid, Contact for Pricing | Delivers advanced enterprise observability, guardrails, and caching, but focuses more on governance than simple model aggregation. | [.md](https://openaitools.app/tool/portkey-ai.md) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)