# Models.dev vs Parsers VC

Models.dev records 200,451 monthly visits with -3.9% month-over-month growth and Free pricing. Parsers VC records 45,126 monthly visits with -14.2% growth and Freemium pricing.

| Metric | [Models.dev](https://openaitools.app/tool/models-dev) | [Parsers VC](https://openaitools.app/tool/venture-matching) |
| :--- | :--- | :--- |
| Website URL | https://models.dev | https://parsers.vc |
| Categories | AI Models, AI API, Open Source AI Models, AI Tools Directory | AI Investing, AI Predictions, AI API |
| Pricing Model | Free | Freemium |
| Monthly Visits | 200,451 | 45,126 |
| MoM Growth Rate | -3.9% | -14.2% |
| Primary Market | China | China |
| Direct Visits | 136,316 | 29,779 |
| Review Score | 4.4 | 3.9 |
| Saved Count | 0 | 5 |
| Supported Platforms | Website | Website |

## 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)

## Parsers VC

Parsers VC organises the venture market into six connected datasets — startups, VC firms, funding rounds, people, news and an API — so that a company profile links straight through to its rounds, investors, team members and press coverage. Coverage is advertised at more than 920,000 startups and 28,000 venture funds, with capital amounts, stages and participating investors recorded per round.

The collection model is continuous rather than monthly. Crawlers read hundreds of thousands of sources around the clock — fund and startup websites, news outlets and press releases — so new rounds, funds and startups surface soon after they are reported instead of at the end of a batch cycle. A two-stage moderation process sits on top: AI pre-checks every incoming record, and analysts manually review the funds, rounds and people that matter most.

The platform is built for people who need to move first. Founders can shortlist funds that match their stage, sector and region and identify the right partner to approach. Sales and business-development teams can filter for companies that raised this week and push fresh lists into a CRM. Investors and analysts can map a market in minutes using the dashboard and alert feed. A free account allows you to explore the database, and paid tiers add full lists, exports and additional API credits.

**Pricing & Plans:** Free to sign up, with no credit card required to explore the database, and 500 free API credits per month for every key. Paid plans unlock full lists, exports and additional API credits, with an affiliate programme available for partners.

- **Startup database with funding history:** Search 920K+ startups by sector, stage, location, team size and funding history, with teams and rounds attached to each profile.
- **VC firm and investor profiles:** Profiles of 28K+ investors including portfolios, focus areas, partners and most recent deals.
- **Funding round tracking:** See who raised, how much, at what stage and from whom, with the date and the source attached to each record.
- **API for agents and models:** Push the same data into your CRM, scoring models or AI agents, with 500 free credits per month on every key.
- **News and activity feed:** Daily AI summaries of rounds, launches and acquisitions, each linked back to the companies involved.

**Strengths:** Covers the full venture picture — companies, funds, rounds, people and news — in one linked dataset; Continuous monitoring surfaces new rounds faster than batch-updated databases; Analyst review on top of automated collection improves trust in key records; Generous free access point: a free account plus 500 free API credits every month

**Limitations:** Coverage is strongest in tech and venture-backed ecosystems; other sectors can be thinner; The most valuable workflows (full lists, exports, extra API credits) sit behind a paid plan; Data quality still depends on public sources and crawler coverage, so niche regional deals may be missed; No mobile app; it is a desk-research dashboard

[Profile (Markdown)](https://openaitools.app/tool/venture-matching.md)

## Frequently Asked Questions

### How do Models.dev and Parsers VC compare in monthly traffic?

Models.dev has 200,451 monthly visits, while Parsers VC has 45,126. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Models.dev has a month-over-month growth rate of -3.9%; Parsers VC has -14.2%.

### How does pricing compare?

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. Parsers VC: Freemium. Free to sign up, with no credit card required to explore the database, and 500 free API credits per month for every key. Paid plans unlock full lists, exports and additional API credits, with an affiliate programme available for partners.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [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) |
| 2 | [StockStory](https://openaitools.app/tool/stockstory-org) | 185,305 | -33.3% | Free | Plain-English earnings previews and market news for retail investors | [.md](https://openaitools.app/tool/stockstory-org.md) |
| 3 | [AltIndex](https://openaitools.app/tool/altindex) | 97,418 | -12.6% | Freemium, Free Trial | Your portfolio's AI analyst, powered by alternative data | [.md](https://openaitools.app/tool/altindex.md) |
| 4 | [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) |
| 5 | [FutureSearch](https://openaitools.app/tool/futuresearch) | 34,474 | -32.7% | Freemium | Calibrated forecasts with the evidence trail attached | [.md](https://openaitools.app/tool/futuresearch.md) |
| 6 | [Alpha Arena (Nof1)](https://openaitools.app/tool/alpha-arena) | 19,788 | -53.8% | Contact for Pricing | A live-trading arena where frontier AI models trade real money in real markets | [.md](https://openaitools.app/tool/alpha-arena.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [LLM Price Check](https://openaitools.app/tool/llm-price-check) | 8,255 | -34.7% | Free | Compare LLM API token prices across every major provider | [.md](https://openaitools.app/tool/llm-price-check.md) |
| 10 | [TradingPlatforms.ai](https://openaitools.app/tool/tradingplatforms-ai) | 5,204 | +21.2% | Paid | Independent reviews of AI trading platforms, bots and investing tools | [.md](https://openaitools.app/tool/tradingplatforms-ai.md) |

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Source: https://openaitools.app/compare/models-dev-vs-venture-matching

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