# GPUPerHour vs OpenRouter

GPUPerHour records 28,718 monthly visits with +25.3% month-over-month growth and Free pricing. OpenRouter records 19,941,437 monthly visits with -6.2% growth and Paid pricing.

| Metric | [GPUPerHour](https://openaitools.app/tool/gpuperhour) | [OpenRouter](https://openaitools.app/tool/openrouter-ai) |
| :--- | :--- | :--- |
| Website URL | https://gpuperhour.com | https://openrouter.ai |
| Categories | AI Developer Tools, AI Tools Directory | AI API, Large Language Models (LLMs), AI Models |
| Pricing Model | Free | Paid |
| Monthly Visits | 28,718 | 19,941,437 |
| MoM Growth Rate | +25.3% | -6.2% |
| Primary Market | United States | United States |
| Direct Visits | 11,398 | 11,964,259 |
| Review Score | 4.4 | 4.8 |
| Saved Count | 4 | 3 |
| Supported Platforms | Website | Website |

## GPUPerHour

GPUPerHour solves a narrow but expensive problem: cloud GPU pricing is scattered across dozens of provider dashboards, in different units and with different availability. The site periodically scrapes the public pricing and inventory endpoints of 31 cloud GPU providers, normalises each listing to a price per GPU per hour (dividing a multi-GPU instance price by its GPU count) and tags it with its pricing type and security tier. The current-price summary deliberately uses only secure on-demand offers observed within roughly 15 minutes of the last refresh, excluding spot, reserved and peer-to-peer marketplace listings because those prices are not directly comparable.

The result is a single live table covering H100 SXM5 and PCIe, H200, B200, B300, A100 80GB and 40GB, L40S, RTX PRO 6000, RTX 5090, RTX 4090 and RTX A6000, alongside the provider, a 30-day historical catalog average and the number of providers with stock. A daily price index with CSV downloads lets you track how pricing moves over time, while buying guides and hardware explainers cover practical topics such as comparing like-for-like GPUs, choosing by VRAM for a workload, accounting for storage and egress, and renting by the hour. The site also points to a companion console, DeployGPU, for provisioning on supported providers from one place.

The key caveat is stated openly on the page: offer counts describe configurations, not the number of physical GPUs bookable, and availability can change before you complete a booking. Prices are per GPU-hour but providers bill for the whole instance, and storage, network transfer and commitment terms affect the final bill. GPUPerHour is a research and comparison layer, not a hosting provider itself.

**Pricing & Plans:** Free to use as a price-comparison and research resource; GPUPerHour does not sell GPU capacity itself. The prices shown are third-party provider rates for secure on-demand instances, per GPU-hour, and a companion service (DeployGPU) offers deployment on supported providers.

- **31-provider live price table:** Every tracked offer is normalised to a price per GPU-hour and shown with its provider, pricing type and security tier.
- **Cheapest-offer summary:** A market snapshot highlights the lowest current secure on-demand price for each popular GPU model, from H100 and H200 to RTX 4090.
- **Daily price index and CSV:** Historical catalog averages and downloadable daily data let you see how pricing for a given GPU has moved over the last 30 days.
- **Buying guides and explainers:** Practical articles cover comparing like-for-like GPUs, choosing by VRAM, estimating the full bill with storage and egress, and renting by the hour.
- **DeployGPU console:** A linked console lets you deploy on supported providers from a single place once you have picked an offer.

**Strengths:** Aggregates 31 providers into comparable per-GPU-hour prices; Clearly states its methodology and excludes non-comparable spot and P2P listings; Free to use, with daily historical data and CSV downloads; Buying guides cover the full bill, not just the headline rate

**Limitations:** Only covers providers whose pricing and inventory endpoints are publicly scrapable; The current-price view deliberately excludes spot and reserved capacity, which are often cheaper; It is a comparison resource, so you still create accounts and provision instances with the provider itself

[Profile (Markdown)](https://openaitools.app/tool/gpuperhour.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 GPUPerHour and OpenRouter compare in monthly traffic?

GPUPerHour has 28,718 monthly visits, while OpenRouter has 19,941,437. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

GPUPerHour has a month-over-month growth rate of +25.3%; OpenRouter has -6.2%.

### How does pricing compare?

GPUPerHour: Free. Free to use as a price-comparison and research resource; GPUPerHour does not sell GPU capacity itself. The prices shown are third-party provider rates for secure on-demand instances, per GPU-hour, and a companion service (DeployGPU) offers deployment on supported providers. 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 | [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 | [mcp.so](https://openaitools.app/tool/mcp-server) | 286,704 | -3% | Free | Discover and share Model Context Protocol servers for AI agents and coding tools | [.md](https://openaitools.app/tool/mcp-server.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 | [Stork](https://openaitools.app/tool/stork) | 201,544 | +2.3% | Free | AI 工具目录、深度评测与每日 AI 新闻 | [.md](https://openaitools.app/tool/stork.md) |

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

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