# Harvey vs Models.dev

Harvey records 1,832,998 monthly visits with +26.1% month-over-month growth and Contact for Pricing pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing.

| Metric | [Harvey](https://openaitools.app/tool/harvey-ai) | [Models.dev](https://openaitools.app/tool/models-dev) |
| :--- | :--- | :--- |
| Website URL | https://harvey.ai | https://models.dev |
| Categories | AI Assistant, AI Legal Assistant, AI Research Tool, AI Agent | AI Models, AI API, Open Source AI Models, AI Tools Directory |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 1,832,998 | 200,451 |
| MoM Growth Rate | +26.1% | -3.9% |
| Primary Market | United States | China |
| Direct Visits | 1,276,669 | 136,316 |
| Review Score | 4.6 | 4.4 |
| Saved Count | 2 | 0 |
| Supported Platforms | Website | Website |

## Harvey

Harvey is an AI platform designed from the ground up for the practice of law rather than adapted from a general-purpose chatbot. Its core surfaces include Agents for orchestrating multi-step legal tasks, Vault for storing and analyzing large document sets, Knowledge for legal, regulatory, and tax research, Spaces for shared client and co-counsel workspaces, Command Center for adoption analytics, and Memory for retaining user preferences across sessions. Together these pieces aim to let a firm or legal department run matters, research, and review from one place instead of stitching together disconnected tools.

The product has moved toward an agentic model, where complex matters are decomposed and routed to specialized agents that produce drafts, chronologies, and fact patterns for lawyer review. Workflow coverage now spans contract review and negotiation, regulatory horizon scanning, legal intake, and litigation support such as facts and chronologies. Connectors and an MCP-based library let teams bring Harvey into the tools they already use.

Commercially, Harvey serves thousands of legal organizations and has raised significant venture funding, positioning it as one of the best-capitalized entrants in legal AI. Access is arranged through a demo and enterprise agreement, so exact seat and usage pricing is quoted per organization rather than published as a public list price. Security, ethical walls, and data governance are treated as first-class requirements given the sensitivity of the material involved.

**Pricing & Plans:** Enterprise pricing, quoted on request. Harvey does not publish public list prices; prospective customers typically request a demo and receive a custom proposal based on team size, modules, and usage.

- **Legal agents and orchestration:** Task-level agents handle research, drafting, and analysis and can route complex multi-step matters to the right specialist agent automatically.
- **Vault document analysis:** Centralize thousands of contracts and matter documents in one secure repository, then extract clauses, terms, and portfolio-wide insights with a single query.
- **Legal, regulatory, and tax research:** Knowledge supports jurisdiction-aware research grounded in authoritative legal sources, with citations back to the underlying material.
- **Spaces and ethical walls:** Shared workspaces let firms, clients, and co-counsel collaborate with the governance controls sensitive legal work requires.
- **Command Center analytics:** See which teams and practice groups use Harvey, on what work, and benchmark adoption against comparable organizations.

**Strengths:** Purpose-built for legal work instead of a general chatbot with a legal wrapper; One governed platform spanning research, documents, agents, and analytics; Strong security posture and ethical-wall support for confidential matters; Backed by substantial funding and a large enterprise customer base

**Limitations:** No published pricing, so evaluation requires a sales process; Best value at enterprise scale, which can leave smaller firms underserved; Module breadth means onboarding and change management are real projects

[Profile (Markdown)](https://openaitools.app/tool/harvey-ai.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 Harvey and Models.dev compare in monthly traffic?

Harvey has 1,832,998 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Harvey has a month-over-month growth rate of +26.1%; Models.dev has -3.9%.

### How does pricing compare?

Harvey: Contact for Pricing. Enterprise pricing, quoted on request. Harvey does not publish public list prices; prospective customers typically request a demo and receive a custom proposal based on team size, modules, and usage. 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 | [Thomson Reuters](https://openaitools.app/tool/thomson-reuters) | 17,919,413 | +5.5% | Contact for Pricing | Provides industry-standard legal databases and authoritative publisher content, but lacks Harvey's custom flexible LLM agent workflows. | [.md](https://openaitools.app/tool/thomson-reuters.md) |
| 2 | [Filevine (LOIS)](https://openaitools.app/tool/demandsai) | 1,132,201 | +16.2% | Contact for Pricing | Integrates full case management workflows alongside AI drafting, but heavier setup required than standalone Harvey workspaces. | [.md](https://openaitools.app/tool/demandsai.md) |
| 3 | [AI Lawyer](https://openaitools.app/tool/ai-lawyer) | 221,106 | +1.5% | Free Trial | Your personal AI legal assistant for research, drafting, and document review | [.md](https://openaitools.app/tool/ai-lawyer.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 | [vLex](https://openaitools.app/tool/vlex-com-mx) | 140,457 | +0.7% | Free Trial, Contact for Pricing | Offers robust multi-jurisdictional legal databases with integrated AI research, but narrower enterprise workspace customization. | [.md](https://openaitools.app/tool/vlex-com-mx.md) |
| 6 | [LinkSquares](https://openaitools.app/tool/linksquares-com) | 107,827 | +57.2% | Contact for Pricing | Strong enterprise contract lifecycle management and search, but less versatile for open-ended legal AI research. | [.md](https://openaitools.app/tool/linksquares-com.md) |
| 7 | [DiliTrust](https://openaitools.app/tool/dilitrust) | 106,417 | -4.6% | Contact for Pricing | Unites board management and contract workflows securely, but offers less flexibility in custom AI legal agents. | [.md](https://openaitools.app/tool/dilitrust.md) |
| 8 | [Spellbook](https://openaitools.app/tool/spellbook) | 65,733 | +26.1% | Free Trial | Directly integrates into Microsoft Word for fast redlining, but lacks Harvey's browser-based enterprise workspace environment. | [.md](https://openaitools.app/tool/spellbook.md) |
| 9 | [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) |
| 10 | [Luminance](https://openaitools.app/tool/luminance-com) | 29,034 | -20% | Contact for Pricing | Excels at automated contract negotiation and review, but less tailored for bespoke general legal research. | [.md](https://openaitools.app/tool/luminance-com.md) |

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Source: https://openaitools.app/compare/harvey-ai-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)