# GPU Finder vs Models.dev GPU Finder records 158 monthly visits with +187.3% month-over-month growth and Free pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing. | Metric | [GPU Finder](https://openaitools.app/tool/gpu-finder) | [Models.dev](https://openaitools.app/tool/models-dev) | | :--- | :--- | :--- | | Website URL | http://gpufinder.xyz | https://models.dev | | Categories | Other | AI Models, AI API, Open Source AI Models, AI Tools Directory | | Pricing Model | Free | Free | | Monthly Visits | 158 | 200,451 | | MoM Growth Rate | +187.3% | -3.9% | | Primary Market | Global | China | | Direct Visits | 61 | 136,316 | | Review Score | 3.6 | 4.4 | | Saved Count | 2 | 0 | | Supported Platforms | Website | Website | ## GPU Finder GPU Finder is a single-purpose web tool for anyone shopping for cloud GPU capacity. It pulls instance details from public cloud vendors — Alibaba Cloud is the most heavily represented in the table, with Hong Kong and Hangzhou regions listed — and presents them in a sortable grid. Each row shows the instance family and SKU, vCPU count, RAM, the specific accelerator (for example Tesla P100, V100, T4, A10 or NVIDIA L20) with its VRAM, current availability status and a price shown in both RMB and USD. The value is aggregation and speed. Rather than juggling several vendor consoles to compare an 8-core T4 instance against a 16-core V100 instance, you can read them in one place and filter down to what you need. The page includes an availability flag so you can see whether a given SKU is listed as available or sold out at a glance. It is a reference utility rather than a rental marketplace: you do not deploy or pay through GPU Finder. Pricing is captured as a snapshot and cross-referenced against a published exchange rate, so treat the numbers as a starting point and confirm final rates with the provider before committing budget. The tool is best used for orientation and shortlisting, then double-checked against the vendor's own current pricing. **Pricing & Plans:** GPU Finder is free to use — it is a public reference table with no sign-up or subscription. The instance prices it displays come from the underlying cloud providers and are shown for comparison only; you buy compute directly from those providers. - **Cross-provider GPU instance grid:** Instance SKUs from public clouds are collected into one sortable table, so you can compare families without opening each provider's site. - **Full hardware breakdown per row:** Every listing shows vCPU count, memory, the GPU model and its VRAM capacity, plus the region it runs in. - **Dual-currency pricing:** Prices are displayed in RMB alongside a USD equivalent, with the conversion based on a published reference exchange rate. - **Availability status:** Rows flag whether a given SKU is currently available or sold out, helping you avoid chasing capacity that is not on offer. - **Region-level detail:** Instances are broken out by region — for example Alibaba Cloud's Hong Kong and Hangzhou zones appear as separate entries. **Strengths:** Aggregates GPU instance data from multiple public clouds into one place; Row-level detail covers cores, RAM, GPU model, VRAM, region and price; Shows both RMB and USD figures for easier cross-region comparison; Free, no login, and loads as a simple table **Limitations:** Pricing appears to be a dated snapshot rather than a live feed; Provider coverage is uneven, with Alibaba Cloud dominating the listing; No direct booking or deployment — it is a reference tool only [Profile (Markdown)](https://openaitools.app/tool/gpu-finder.md) ## Models.dev Models.dev exists to answer a very practical developer question: which model should I use, and what will it cost? The site organises every entry under a canonical identifier in the form provider/model, so the same model served by several providers can be compared directly rather than guessed at. Columns cover context window, maximum output, whether input and output are supported, reasoning, tool calling, structured output, temperature control, open versus closed weights, price per million tokens, and release and update dates. Because model releases move fast, the catalogue is built to stay current, with sortable and searchable tables that let you scan by lab or provider and filter down to what matters. Entries include both closed flagship models and open-weight alternatives, making it useful for cost planning as well as capability research. The project is open source and free to use, and it is intended to be consumed programmatically. Developers can pull the catalogue into their own tooling through a JSON API or a type-safe SDK, which makes it a practical backend for dashboards, routing logic, or internal cost calculators rather than just a reference page to browse. **Pricing & Plans:** Models.dev is free and open source. It is a reference database, so the prices it lists are the per-million-token rates charged by the model providers themselves, not a fee for using the site. - **Canonical model identifiers:** Every model uses a consistent provider/model format so the same model across providers can be compared directly. - **Specification comparison:** Side-by-side context window, output limit, reasoning, tool calling, structured output, and temperature support. - **Pricing transparency:** Input and output prices per million tokens listed alongside release and update dates. - **Open and closed models:** Covers closed flagship APIs and open-weight models from many labs in one sortable catalogue. - **Developer access:** Consume the catalogue through a JSON API or a type-safe SDK for your own tools and dashboards. **Strengths:** Free and open source with no account required; Consistent canonical identifiers make cross-provider comparison reliable; Covers pricing, limits, and capabilities in one sortable table; Available as a JSON API and type-safe SDK for programmatic use **Limitations:** It is a reference catalogue, not an inference or hosting service; Data quality depends on community and maintainer updates keeping pace with releases; Interface is aimed at developers and offers little guidance for non-technical users [Profile (Markdown)](https://openaitools.app/tool/models-dev.md) ## Frequently Asked Questions ### How do GPU Finder and Models.dev compare in monthly traffic? GPU Finder has 158 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? GPU Finder has a month-over-month growth rate of +187.3%; Models.dev has -3.9%. ### How does pricing compare? GPU Finder: Free. GPU Finder is free to use — it is a public reference table with no sign-up or subscription. The instance prices it displays come from the underlying cloud providers and are shown for comparison only; you buy compute directly from those providers. Models.dev: Free. Models.dev is free and open source. It is a reference database, so the prices it lists are the per-million-token rates charged by the model providers themselves, not a fee for using the site. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Code Arena](https://openaitools.app/tool/code-arena) | 35,827,928 | +19.4% | Free | Battle-test AI coding models side by side | [.md](https://openaitools.app/tool/code-arena.md) | | 2 | [Stork](https://openaitools.app/tool/stork) | 201,544 | +2.3% | Free | Includes model pricing trackers and developer news alongside tools directories, but less focused on raw API specs. | [.md](https://openaitools.app/tool/stork.md) | | 3 | [InfraBase.ai](https://openaitools.app/tool/infrabase-ai) | 39,072 | -13.6% | Free | Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables. | [.md](https://openaitools.app/tool/infrabase-ai.md) | | 4 | [No Code Founders](https://openaitools.app/tool/ncf3) | 17,225 | +52.4% | Freemium, Paid, Free | Curated no-code tool deals and build guides for non-technical founders | [.md](https://openaitools.app/tool/ncf3.md) | | 5 | [FindyourAI](https://openaitools.app/tool/findyourai) | 10,982 | +14.3% | Free | Choose the right AI tool in minutes, not hours | [.md](https://openaitools.app/tool/findyourai.md) | | 6 | [Museum of Models (Rival)](https://openaitools.app/tool/rival) | 9,187 | -35% | Free | Archives how various AI models answer identical prompts over time, offering qualitative comparison rather than pricing. | [.md](https://openaitools.app/tool/rival.md) | | 7 | [LLM Price Check](https://openaitools.app/tool/llm-price-check) | 8,255 | -34.7% | Free | Tracks per-token API prices across major AI providers in a simple comparison table, but omits broader model specs. | [.md](https://openaitools.app/tool/llm-price-check.md) | | 8 | [Promoted.com](https://openaitools.app/tool/promoted-com) | 5,061 | -9.4% | Contact for Pricing | A performance marketing agency that builds paid media engines for scaling companies | [.md](https://openaitools.app/tool/promoted-com.md) | | 9 | [OpenGPT](https://openaitools.app/tool/opengpt-com) | 3,559 | -24.7% | Freemium | Helps compare foundation model performance and AI stacks, but functions more as a decision workspace than raw database. | [.md](https://openaitools.app/tool/opengpt-com.md) | | 10 | [Countless.dev](https://openaitools.app/tool/countless-dev) | 787 | -45.8% | Free | A free, open-source comparison directory for evaluating AI model pricing and capabilities very similar to Models.dev. | [.md](https://openaitools.app/tool/countless-dev.md) | --- Source: https://openaitools.app/compare/gpu-finder-vs-models-dev More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)