# ChainGPT vs Models.dev

ChainGPT records 71,157 monthly visits with -31.7% month-over-month growth and Freemium pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing.

| Metric | [ChainGPT](https://openaitools.app/tool/chaingpt) | [Models.dev](https://openaitools.app/tool/models-dev) |
| :--- | :--- | :--- |
| Website URL | https://www.chaingpt.org | https://models.dev |
| Categories | AI Crypto, Blockchain, AI Chatbot, Web3 | AI Models, AI API, Open Source AI Models, AI Tools Directory |
| Pricing Model | Freemium | Free |
| Monthly Visits | 71,157 | 200,451 |
| MoM Growth Rate | -31.7% | -3.9% |
| Primary Market | Poland | China |
| Direct Visits | 30,686 | 136,316 |
| Review Score | 3.8 | 4.4 |
| Saved Count | 9 | 0 |
| Supported Platforms | Website | Website |

## ChainGPT

ChainGPT positions itself as an AI layer for Web3 rather than a general-purpose assistant. Its flagship Web3 AI Chatbot answers blockchain and crypto questions with access to live market and on-chain data, while an AI News engine scans the web and publishes short auto-generated crypto articles on a rolling schedule. For developers, the platform ships a Solidity Smart-Contract Generator and a Smart-Contract Auditor that detects exploits and suggests gas optimizations, deployable directly to supported networks.

Beyond the assistant surface, ChainGPT operates an AI NFT Generator with on-chain minting across multiple networks, a no-code AI Agents Launcher, a trading assistant, and an AI Virtual Machine (AIVM) roadmap covering decentralized GPU and data marketplaces plus on-chain LLM deployment and inference. Businesses can consume the same capabilities through REST APIs and SDKs, white-label chatbot solutions, Telegram and Discord bots, or a B2B licensing program, and the project also runs an IDO launchpad and staking portal tied to its $CGPT token.

ChainGPT is funded and audited like a crypto project rather than a typical SaaS: it publishes CertiK and Hacken audit reports, staking and DAO governance dashboards, and a public supply/burn tracker. That means access is a mix of free web tools, token-gated features, API credit purchases, and paid white-label plans.

**Pricing & Plans:** Freemium. Core web tools such as the chat interface, news, and NFT generator are usable for free, while API/SDK access runs on purchasable API credits and B2B white-label solutions are enterprise-priced. Staking and holding the $CGPT token unlocks platform benefits. Check the official pricing page for current numbers.

- **Web3 AI Chatbot:** Ask crypto and blockchain questions and get answers grounded in live market and on-chain data, available on the web plus Telegram and Discord bots.
- **Smart-Contract Generator & Auditor:** Describe a Solidity contract and have it generated, or paste existing code for an AI audit that flags exploits and suggests gas optimizations.
- **AI Crypto News:** An automated model scans the web and publishes short curated crypto news articles roughly every hour.
- **AI NFT Generator:** Turn text prompts into AI artwork and mint NFTs on-chain across 20+ supported networks in under a minute.
- **API, SDK & White-Label:** Developers get REST APIs, SDKs, and a playground for chat, news, contract, and NFT capabilities; businesses can license branded bots and SaaS.

**Strengths:** Unusually deep crypto-specific coverage, including on-chain data and live market context; Combines chat, development tooling, news, and NFT generation in a single ecosystem; Public audit reports, staking/gov dashboards, and a documented API for builders; Free tier covers casual use, with Telegram and Discord bots for quick access

**Limitations:** Token-centric model means some value is tied to $CGPT, adding crypto market risk; Several advertised components (GPU marketplace, data marketplace, some agents) are still marked coming soon; Quality of AI contract audits should not replace a professional security review

[Profile (Markdown)](https://openaitools.app/tool/chaingpt.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 ChainGPT and Models.dev compare in monthly traffic?

ChainGPT has 71,157 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

ChainGPT has a month-over-month growth rate of -31.7%; Models.dev has -3.9%.

### How does pricing compare?

ChainGPT: Freemium. Freemium. Core web tools such as the chat interface, news, and NFT generator are usable for free, while API/SDK access runs on purchasable API credits and B2B white-label solutions are enterprise-priced. Staking and holding the $CGPT token unlocks platform benefits. Check the official pricing page for current numbers. 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 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | OpenAI's flagship multimodal assistant powered by GPT-6 and GPT-5.6 for reasoning, coding, and deep research. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 3 | [Chatbot App](https://openaitools.app/tool/chatbot-app) | 2,170,883 | -9.7% | Freemium | Chat with 30+ leading AI models in one clean, fast workspace | [.md](https://openaitools.app/tool/chatbot-app.md) |
| 4 | [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) |
| 5 | [Surf](https://openaitools.app/tool/surf) | 116,252 | -18.9% | Free, Pro, Max, API credits | Institution-grade crypto and equities intelligence, delivered through a chat-style AI analyst. | [.md](https://openaitools.app/tool/surf.md) |
| 6 | [ArbitrageScanner.io](https://openaitools.app/tool/arbitragescanner-io) | 49,489 | -28.4% | Free Trial, Paid | Crypto arbitrage screeners, wallet analytics and AI on-chain research in one subscription | [.md](https://openaitools.app/tool/arbitragescanner-io.md) |
| 7 | [Recap NFT Gallery with AI Appraisals](https://openaitools.app/tool/recap-nft-gallery-with-ai-appraisals) | 46,124 | -13.9% | Freemium | UK crypto tax software with portfolio tracking and AI appraisals | [.md](https://openaitools.app/tool/recap-nft-gallery-with-ai-appraisals.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/chaingpt-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)
