# GPUPerHour vs Toolsummary GPUPerHour records 28,718 monthly visits with +25.3% month-over-month growth and Free pricing. Toolsummary records 0 monthly visits with -100% growth and Free pricing. | Metric | [GPUPerHour](https://openaitools.app/tool/gpuperhour) | [Toolsummary](https://openaitools.app/tool/toolsummary) | | :--- | :--- | :--- | | Website URL | https://gpuperhour.com | https://toolsummary.com | | Categories | AI Developer Tools, AI Tools Directory | AI Tools Directory, AI Copywriting, AI Image Generator, AI Video Editor | | Pricing Model | Free | Free | | Monthly Visits | 28,718 | 0 | | MoM Growth Rate | +25.3% | -100% | | Primary Market | United States | Global | | Direct Visits | 11,398 | 0 | | Review Score | 4.4 | 4.4 | | Saved Count | 4 | 4 | | 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) ## Toolsummary Toolsummary has evolved into a data-first reference for anyone budgeting LLM usage. Instead of blog-style roundups, it maintains a single ledger of model endpoints: each row shows the provider, the price per million input tokens, the price per million output tokens and the supported context window. The dataset is refreshed daily from provider APIs, so the numbers reflect published rates rather than editorial estimates. The dashboard highlights the moving parts of a fast-changing market: the cheapest tracked model, the median input price across the whole dataset, the largest overnight drop and the largest overnight rise. A trending view and a changes log make it easy to see which providers are cutting or raising rates before you commit to an integration. Because the site is open to browse with no account or payment, it suits quick sanity checks as much as deeper procurement research. You can filter and re-sort the table by any column, drill into individual model pages, and use the per-workload cost estimates as a starting point for your own calculations. It is a pricing-catalogue tool rather than a chat interface — it tells you what things cost, not what they can do. **Pricing & Plans:** Free. The full model ledger, sorting, filtering and daily refreshes are available without an account or payment. - **Hundreds of models in one table:** Compare input price, output price and context window for every tracked endpoint in a single sortable grid covering major and niche providers. - **Refreshed daily from provider APIs:** Prices are pulled automatically and stamped with last-update time, so you are looking at current published rates rather than stale blog numbers. - **Biggest movers tracking:** See the largest price drops and increases since the previous snapshot, which is useful for spotting providers competing on cost. - **Per-workload cost estimates:** Summary statistics such as median input price and cheapest model give a quick baseline for budgeting a project. - **No sign-up browsing:** Open the site and read the whole dataset; there is no login wall, trial or paywall in the way. **Strengths:** Covers a very broad set of models, including free and open-weight endpoints that roundups often skip; Updated on a daily cadence rather than quarterly; No account, paywall or newsletter gate; Columns are sortable and filterable, so comparison is fast **Limitations:** It is a pricing catalogue only; no playground or quality benchmarking; Coverage depends on providers publishing rates in an accessible form; Row-heavy table layout can feel dense on small screens [Profile (Markdown)](https://openaitools.app/tool/toolsummary.md) ## Frequently Asked Questions ### How do GPUPerHour and Toolsummary compare in monthly traffic? GPUPerHour has 28,718 monthly visits, while Toolsummary has 0. 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%; Toolsummary has -100%. ### 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. Toolsummary: Free. Free. The full model ledger, sorting, filtering and daily refreshes are available without an account or payment. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [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) | | 2 | [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) | | 3 | [Models.dev](https://openaitools.app/tool/models-dev) | 200,451 | -3.9% | Free | Open-source database of AI models, prices and capabilities | [.md](https://openaitools.app/tool/models-dev.md) | | 4 | [AI Directories](https://openaitools.app/tool/ai-directories) | 133,011 | -6.9% | Paid | Hand-submitted listings across 100+ AI directories for backlinks and visibility | [.md](https://openaitools.app/tool/ai-directories.md) | | 5 | [Easy With AI](https://openaitools.app/tool/easywithai-com) | 119,734 | -2.7% | Freemium, Free Trial, Free | A hand-curated directory for discovering AI tools and resources | [.md](https://openaitools.app/tool/easywithai-com.md) | | 6 | [ToolCenter](https://openaitools.app/tool/toolcenter) | 66,647 | +3.2% | Free | A curated directory of thousands of AI tools, updated daily. | [.md](https://openaitools.app/tool/toolcenter.md) | | 7 | [AI Top100 (AITOP100)](https://openaitools.app/tool/ai-top100) | 51,606 | -22.7% | Free | Chinese AI tools directory plus AIGC contests, courses and news | [.md](https://openaitools.app/tool/ai-top100.md) | | 8 | [InfraBase.ai](https://openaitools.app/tool/infrabase-ai) | 39,072 | -13.6% | Free | Hand-verified directory of AI infrastructure tools | [.md](https://openaitools.app/tool/infrabase-ai.md) | | 9 | [ToolDirectory.AI](https://openaitools.app/tool/tooldirectory-ai) | 30,123 | +64.9% | Freemium | An editor-reviewed directory of 2,888+ AI tools, dated and marked live or retired | [.md](https://openaitools.app/tool/tooldirectory-ai.md) | | 10 | [TLDL](https://openaitools.app/tool/tldl) | 24,786 | -12.5% | Free | Get AI-smart in 5 minutes with podcast briefings, pricing guides and tool comparisons | [.md](https://openaitools.app/tool/tldl.md) | --- Source: https://openaitools.app/compare/gpuperhour-vs-toolsummary More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)