# Intapp vs Models.dev

Intapp records 220,730 monthly visits with +13.6% month-over-month growth and Contact for Pricing pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing.

| Metric | [Intapp](https://openaitools.app/tool/intapp) | [Models.dev](https://openaitools.app/tool/models-dev) |
| :--- | :--- | :--- |
| Website URL | https://www.intapp.com | https://models.dev |
| Categories | AI Assistant, AI CRM, AI Sales Assistant, AI For Finance | AI Models, AI API, Open Source AI Models, AI Tools Directory |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 220,730 | 200,451 |
| MoM Growth Rate | +13.6% | -3.9% |
| Primary Market | United States | China |
| Direct Visits | 158,838 | 136,316 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Intapp

Intapp focuses on the business operations of regulated professional firms — the parts of the workflow that general-purpose software handles poorly. For growth, Intapp DealCloud acts as a relationship, pipeline and deal management platform used by accounting firms, consulting practices, investment banks, private capital funds and corporate development teams. For risk and compliance, the company offers specialized modules including Intapp Conflicts, Intapp Intake, Intapp Terms, Intapp Walls and Intapp Employee Compliance, which automate checks, ethical barriers and regulatory reporting. Profitability and collaboration round out the suite with compliant time capture, prebilling and secure Microsoft 365 workspaces.

The company's current emphasis is Firm AI. Intapp Celeste is presented as an expert AI coworker grounded in a firm's own institutional knowledge and constrained by its governance rules, aimed at automating and accelerating the business side of professional services rather than only individual drafting tasks. Intapp also publishes a Firm AI blueprint and integration services to connect these systems to existing data estates.

Intapp states that more than 1,400 firms with over $50k in annual recurring revenue use its products, including 97 of the Am Law 100, 1,700+ private capital, investment banking and real assets firms, and 17 of the top 20 accounting firms. Deployment options include cloud infrastructure, dedicated environments and extensive integrations, and the company publicly lists trust, compliance and data protection resources.

**Pricing & Plans:** Not published. Intapp sells to firms and enterprises through its sales team, so pricing is quoted after a demo and scoping conversation. No public self-serve tiers or per-seat rates are listed on the website.

- **Intapp Celeste firm AI:** An AI coworker grounded in a firm's own knowledge and governed by its compliance rules, designed for the business operations of professional firms rather than generic assistance.
- **Relationship and deal management:** Intapp DealCloud provides pipeline visibility, relationship intelligence and deal management for accounting, consulting, investment banking, private capital and corporate development teams.
- **Risk and compliance modules:** Purpose-built tools for conflicts detection, new business intake, terms management, ethical walls and employee compliance, with continuous monitoring across the firm's data.
- **Time, billing and collaboration:** Compliant time capture across devices, prebilling workflows and secure Microsoft 365 collaboration spaces with automated provisioning and permissions.
- **Data foundation and integrations:** An integration service and data architecture layer that consolidates firm data and connects Intapp products to the wider enterprise ecosystem.

**Strengths:** Purpose-built for regulated professional and financial services workflows rather than adapted from generic tools; Broad portfolio covering growth, risk, compliance, profitability and collaboration in one ecosystem; Strong enterprise credentials, including SOC 2, GDPR and HIPAA support, plus cloud, dedicated and on-premises deployment options; Large installed base across Am Law 100 firms, top accounting practices and major investment institutions

**Limitations:** No public pricing, so evaluating cost requires a sales conversation and demo; Enterprise orientation means long implementation cycles and integration effort; Best value for larger firms; smaller practices may find it more than they need

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

Intapp has 220,730 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Intapp has a month-over-month growth rate of +13.6%; Models.dev has -3.9%.

### How does pricing compare?

Intapp: Contact for Pricing. Not published. Intapp sells to firms and enterprises through its sales team, so pricing is quoted after a demo and scoping conversation. No public self-serve tiers or per-seat rates are listed on the website. 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 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 2 | [Thomson Reuters](https://openaitools.app/tool/thomson-reuters) | 17,919,413 | +5.5% | Contact for Pricing | Provides comprehensive AI-assisted legal research and compliance tools, but lacks Intapp's specialized client intake and relationship workflows. | [.md](https://openaitools.app/tool/thomson-reuters.md) |
| 3 | [Harvey](https://openaitools.app/tool/harvey-ai) | 1,832,998 | +26.1% | Contact for Pricing | Delivers cutting-edge legal AI document analysis and contract workflows, whereas Intapp offers broader professional services enterprise management. | [.md](https://openaitools.app/tool/harvey-ai.md) |
| 4 | [Attio](https://openaitools.app/tool/attio) | 1,652,928 | -4.2% | Free Trial, Contact for Pricing | The AI-native CRM for agentic revenue teams | [.md](https://openaitools.app/tool/attio.md) |
| 5 | [Vanta](https://openaitools.app/tool/vanta-com) | 931,152 | -18.8% | Contact for Pricing | Automated compliance, risk, and trust management powered by AI | [.md](https://openaitools.app/tool/vanta-com.md) |
| 6 | [DealCloud (Intapp DealCloud)](https://openaitools.app/tool/dealcloud-com) | 271,122 | -2.8% | Contact for Pricing | Specializes in deal and relationship intelligence for private capital and professional services, sharing deep roots with Intapp. | [.md](https://openaitools.app/tool/dealcloud-com.md) |
| 7 | [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) |
| 8 | [LinkSquares](https://openaitools.app/tool/linksquares-com) | 107,827 | +57.2% | Contact for Pricing | Streamlines contract lifecycle management with built-in AI, but focuses less on overarching client intake and compliance checks. | [.md](https://openaitools.app/tool/linksquares-com.md) |
| 9 | [SymphonyAI](https://openaitools.app/tool/symphonyai-com) | 76,797 | -39.8% | Contact for Pricing | Vertical AI applications and agents built for retail, financial services, industrial, and enterprise IT | [.md](https://openaitools.app/tool/symphonyai-com.md) |
| 10 | [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) |

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