# Boxes.dev vs OpenRouter

Boxes.dev records 552 monthly visits with 0% month-over-month growth and Freemium, Contact for Pricing pricing. OpenRouter records 19,941,437 monthly visits with -6.2% growth and Paid pricing.

| Metric | [Boxes.dev](https://openaitools.app/tool/boxes-dev) | [OpenRouter](https://openaitools.app/tool/openrouter-ai) |
| :--- | :--- | :--- |
| Website URL | https://boxes.dev | https://openrouter.ai |
| Categories | AI Agent, AI Developer Tools, AI Code Assistant, AI Copilot | AI API, Large Language Models (LLMs), AI Models |
| Pricing Model | Freemium, Contact for Pricing | Paid |
| Monthly Visits | 552 | 19,941,437 |
| MoM Growth Rate | 0% | -6.2% |
| Primary Market | Global | United States |
| Direct Visits | 159 | 11,964,259 |
| Review Score | 4.6 | 4.8 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## Boxes.dev

Boxes.dev solves a problem that appears the moment you start running more than one AI coding agent at a time: a single laptop cannot give several agents isolated filesystems, isolated ports and enough CPU at once. The product's answer is to hand each meaningful body of work its own cloud machine, called a devbox. A devbox is a real Linux computer with its own filesystem, its own processes, port forwarding back to localhost, and your development setup already installed, so several tasks can run in parallel without port collisions or resource contention.

What makes Boxes.dev distinctive is that it does not introduce a new agent harness. It runs the native Claude Code and Codex CLI you already pay for, using your existing subscription or API key — the company explicitly does not sell tokens. Onboarding is designed to be handed to the agent itself: you paste a prompt into Claude Code or Codex inside your project folder, the agent inspects your environment (env files, local databases, tooling outside the repo), drafts a setup plan, and after your approval a second agent executes the plan on a remote box. The resulting filesystem-and-memory snapshot becomes the template that all future devboxes boot from in seconds.

Operationally, agents can be started from Slack by mentioning the bot, by assigning a Linear issue, by a cron schedule, or by a single API call, and results come back where you asked for them. Devboxes sleep automatically when idle and sleeping boxes are free, which keeps parallelism from turning into runaway cost. The company positions it against Devin, Cursor and bare Claude Code/Codex setups, emphasising full cloud computers per agent, a native iOS and Android app, live session sharing for teammates, and preview URLs for running apps.

**Pricing & Plans:** Freemium with a usage-based model. A free trial includes 20 box-hours with a template box plus 3 awake devboxes and unlimited sleeping boxes. Paid tiers per user per month: Starter $19 (50 box-hours, 5 awake devboxes), Pro $99 (300 box-hours, 12 awake devboxes) and Max $249 (750 box-hours, 25 awake devboxes). Overage is $0.40 per box-hour with prepaid discounts up to 10%. Teams plans with SSO, SCIM, RBAC and audit logs are custom-priced. A box-hour equals one hour awake on a standard 4 vCPU / 8 GiB / 100 GB machine; larger sizes consume proportionally more.

- **One cloud computer per agent:** Every meaningful task gets a fresh Linux devbox with its own filesystem, processes and ports, so parallel agents never fight over resources or collide on ports.
- **Bring your own Claude Code or Codex:** Boxes.dev runs the native harness and your existing subscription or API key — no new agent framework, and no token resale.
- **Start agents from anywhere:** Kick off work by mentioning @boxes.dev in Slack, assigning a Linear issue, scheduling a cron job, or calling the REST API, with results returned in the same channel.
- **Desktop, mobile, terminal and web clients:** Read threads, approve requests, review diffs or open a terminal on any surface, including full-featured native iOS and Android apps.
- **Sleeping devboxes are free:** Idle boxes suspend automatically and are billed by the second only while awake, keeping the cost of running many agents under control.

**Strengths:** Each agent gets a genuine isolated cloud computer rather than a worktree or sandbox on your laptop; Works with your existing Claude Code or Codex subscription, so there is no separate token bill; Agents can be triggered from Slack, Linear, cron or API, which fits existing team workflows; Idle devboxes sleep for free, and billing is per second, so parallel experiments stay affordable

**Limitations:** Usage is metered in box-hours, so heavy or long-running workloads can exceed included allowances; The free trial's 20 box-hours is enough for evaluation but not sustained daily work; Most powerful features such as SSO, audit logs and dedicated deployment sit behind custom-priced Teams plans

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

## 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)

## Frequently Asked Questions

### How do Boxes.dev and OpenRouter compare in monthly traffic?

Boxes.dev has 552 monthly visits, while OpenRouter has 19,941,437. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Boxes.dev has a month-over-month growth rate of 0%; OpenRouter has -6.2%.

### How does pricing compare?

Boxes.dev: Freemium, Contact for Pricing. Freemium with a usage-based model. A free trial includes 20 box-hours with a template box plus 3 awake devboxes and unlimited sleeping boxes. Paid tiers per user per month: Starter $19 (50 box-hours, 5 awake devboxes), Pro $99 (300 box-hours, 12 awake devboxes) and Max $249 (750 box-hours, 25 awake devboxes). Overage is $0.40 per box-hour with prepaid discounts up to 10%. Teams plans with SSO, SCIM, RBAC and audit logs are custom-priced. A box-hour equals one hour awake on a standard 4 vCPU / 8 GiB / 100 GB machine; larger sizes consume proportionally more. 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.

## 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 | [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) |
| 3 | [MyClaw](https://openaitools.app/tool/myclaw) | 990,387 | -23.8% | Paid | Your always-on AI teammate, hosted and managed for you | [.md](https://openaitools.app/tool/myclaw.md) |
| 4 | [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) |
| 5 | [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) |
| 6 | [BLACKBOX.AI](https://openaitools.app/tool/blackbox-ai-1) | 622,975 | -27.2% | Free Trial, Paid | High-trust frontier inference, encrypted end to end | [.md](https://openaitools.app/tool/blackbox-ai-1.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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

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