# Models.dev vs TestSprite

Models.dev records 200,451 monthly visits with -3.9% month-over-month growth and Free pricing. TestSprite records 114,205 monthly visits with +15.8% growth and Freemium pricing.

| Metric | [Models.dev](https://openaitools.app/tool/models-dev) | [TestSprite](https://openaitools.app/tool/testsprite) |
| :--- | :--- | :--- |
| Website URL | https://models.dev | https://www.testsprite.com |
| Categories | AI Models, AI API, Open Source AI Models, AI Tools Directory | AI Testing, AI Developer Tools, AI Productivity Tools |
| Pricing Model | Free | Freemium |
| Monthly Visits | 200,451 | 114,205 |
| MoM Growth Rate | -3.9% | +15.8% |
| Primary Market | China | United States |
| Direct Visits | 136,316 | 39,576 |
| Review Score | 4.4 | 4.3 |
| Saved Count | 0 | 1 |
| 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)

## TestSprite

TestSprite targets the gap between shipping code fast and knowing whether it still works. You point it at a project - giving it access to your code and product requirements for context - and it plans, generates, executes and reports on tests automatically. Runs happen against the deployed application rather than mocked dependencies, so a pass means a real person could actually complete the flow. Every session can be replayed as video, which makes evidence easy to attach to a pull request. Frontend, backend API and data flows are covered together.

Failures are treated as first-class output. Rather than a wall of red, TestSprite returns a single bundle containing the failing step and its neighbours, screenshots, DOM snapshots, the test source, a root-cause hypothesis and a suggested fix - enough for the developer or the coding agent that wrote the change to correct it and rerun. Auto-Heal repairs tests when the UI drifts, and tests are tied to a snapshot of the app rather than chasing moving state. Passing tests are retained as the app evolves, so coverage compounds instead of decaying between releases.

The platform meets teams wherever they work: an open-source CLI for coding agents and CI pipelines, an MCP server for the IDE, a merge gate that re-verifies pull requests and posts the result on the PR, and a no-code dashboard with project, test list, schedule and run-history views. Scheduled runs catch silent breakage between releases. Pricing starts with a free tier of 150 credits per month, then Starter at $19/mo (first month free), Standard at $39/mo, Pro at $69/mo and Enterprise from $199/mo, also sold on AWS Marketplace.

**Pricing & Plans:** Free tier with 150 credits/month for one app; Starter $19/mo (first month free), Standard $39/mo, Pro $69/mo for teams and Enterprise from $199/mo. Yearly billing saves 35%; also available on AWS Marketplace.

- **Tests the running app, not mocks:** Agents drive a real browser and live APIs like a user would, so a pass means the flow genuinely works end to end.
- **Failure bundles with a cause:** Each failure arrives with the failing step, screenshots, DOM snapshots, test source, root-cause hypothesis and a suggested fix.
- **Auto-Heal and compounding coverage:** Tests repair themselves when the UI drifts, and every passing test is kept so coverage grows with the app.
- **One engine, every surface:** The same verifier runs from an open-source CLI, an MCP server in your IDE, a CI merge gate, or a no-code dashboard.
- **Scheduled runs and merge gates:** Nightly, weekly or per-release schedules plus PR checks that block merges until the full suite passes, with results posted to the PR.

**Strengths:** Verifies real browsers and live APIs instead of mocked assertions; Failures arrive with evidence and a fix suggestion, cutting triage time; Integrates with CLI, MCP/IDE, GitHub PR checks and CI rather than replacing your workflow; Open-source CLI and a genuinely usable free tier lower the barrier to entry

**Limitations:** Credit-based limits mean larger suites or more frequent runs push you up a plan; Value depends on the app being reachable in a testable environment, so setup effort is unavoidable; Deeper enterprise features like SSO, audit logs and single-tenant deployment sit behind the top tier

[Profile (Markdown)](https://openaitools.app/tool/testsprite.md)

## Frequently Asked Questions

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

Models.dev has 200,451 monthly visits, while TestSprite has 114,205. 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%; TestSprite has +15.8%.

### 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. TestSprite: Freemium. Free tier with 150 credits/month for one app; Starter $19/mo (first month free), Standard $39/mo, Pro $69/mo for teams and Enterprise from $199/mo. Yearly billing saves 35%; also available on AWS Marketplace.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 2 | [Qase](https://openaitools.app/tool/qase) | 319,213 | -25.5% | Freemium, Free Trial, Contact for Pricing, Free | Ship with confidence: one system of record for manual, automated, and CI tests | [.md](https://openaitools.app/tool/qase.md) |
| 3 | [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) |
| 4 | [Katalon](https://openaitools.app/tool/katalon-studio) | 158,090 | -29.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI-augmented quality platform for web, mobile, API and desktop testing | [.md](https://openaitools.app/tool/katalon-studio.md) |
| 5 | [testRigor](https://openaitools.app/tool/testrigor-com) | 105,865 | -2.7% | Free Trial, Contact for Pricing, Free | Write end-to-end test automation in plain English, no code required | [.md](https://openaitools.app/tool/testrigor-com.md) |
| 6 | [Momentic](https://openaitools.app/tool/momentic) | 68,819 | -15.2% | Freemium, Usage-based, Enterprise | Agentic AI QA engineer for web, iOS, and Android testing | [.md](https://openaitools.app/tool/momentic.md) |
| 7 | [Autify](https://openaitools.app/tool/autify-com) | 60,130 | +6% | Contact for Pricing | AI testing platform for the entire software testing lifecycle | [.md](https://openaitools.app/tool/autify-com.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 | [Shiplight AI](https://openaitools.app/tool/shiplight-ai) | 33,676 | -8.2% | Contact for Pricing | Agent-native end-to-end testing that maintains itself | [.md](https://openaitools.app/tool/shiplight-ai.md) |
| 10 | [QA.tech](https://openaitools.app/tool/qa-tech) | 30,550 | -4.4% | Paid, Contact for Pricing | Autonomous AI QA agents that verify your web and mobile app on every pull request | [.md](https://openaitools.app/tool/qa-tech.md) |

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

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)