# Invisible Technologies vs Models.dev

Invisible Technologies records 1,364,520 monthly visits with +64.4% month-over-month growth and Contact for Pricing pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing.

| Metric | [Invisible Technologies](https://openaitools.app/tool/invisible-technologies-inc) | [Models.dev](https://openaitools.app/tool/models-dev) |
| :--- | :--- | :--- |
| Website URL | http://inv.tech | https://models.dev |
| Categories | Large Language Models (LLMs), AI Models, AI Agent | AI Models, AI API, Open Source AI Models, AI Tools Directory |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 1,364,520 | 200,451 |
| MoM Growth Rate | +64.4% | -3.9% |
| Primary Market | United States | China |
| Direct Visits | 877,838 | 136,316 |
| Review Score | 4.6 | 4.4 |
| Saved Count | 2 | 0 |
| Supported Platforms | Website | Website |

## Invisible Technologies

Invisible Technologies occupies an unusual position in the AI industry: it is part software platform, part services organisation and part talent network. The company helps both frontier model labs and large enterprises move AI from prototype to production, and it credits itself with having contributed to the training of the majority of the world's leading models. Where a pure SaaS vendor would hand over a dashboard, Invisible combines tooling with people who actually do the work.

On the platform side, the offering is split into modular components. Neuron is the data layer that pulls messy, multi-source information into one governed place so it is usable by models. Atomic is the process builder that maps an operation visually and then runs the steps automatically, connecting systems and routing each task to the right AI or human. Synapse handles evaluation, testing AI systems against realistic work scenarios and your own criteria rather than generic benchmarks. Axon lets teams deploy agents that can plan through multi-step tasks, use tools and write code, with the versioning and audit trails needed for critical operations.

The human layer is what differentiates the model. Meridial, Invisible's expert network, draws on more than 24,000 vetted specialists organised by skill, language and domain, who can label training data, stress-test systems or handle the edge cases agents are not ready for. Typical engagements include back-office automation, computer vision, contact centre intelligence, demand forecasting and custom RL environments built by domain experts. Because every enterprise's friction with AI is different, the company positions itself as a bridge between a general model and a specific operational reality.

**Pricing & Plans:** Pricing is not published. Invisible quotes per engagement based on data volume, model complexity and the level of expert involvement, so prospective customers book a demo or contact sales for a tailored proposal.

- **Training data for frontier models:** Produces research-grade datasets, including multilingual and domain-specific evaluation data, backed by a large vetted expert network.
- **Model evaluation and testing:** Runs AI systems through realistic task scenarios with custom criteria covering accuracy, safety, tone and domain fit, comparing models side by side.
- **Deployable AI agents:** Builds governed agents that handle multi-step work, use tools and write code, with versioning, per-customer separation and full audit trails.
- **Process automation for back office:** Maps how work actually flows through an organisation, then automates steps gradually, routing to AI or humans as needed.
- **Data preparation and governance:** Consolidates scattered enterprise data into one governed, AI-ready layer so models and workflows know what to use and where it lives.

**Strengths:** Combines platform tooling with a 24,000+ expert network, so projects are not limited to what software alone can do; Deep experience training and evaluating frontier models, with direct relationships across major AI labs; Modular components let enterprises start with one problem area instead of a full platform migration

[Profile (Markdown)](https://openaitools.app/tool/invisible-technologies-inc.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 Invisible Technologies and Models.dev compare in monthly traffic?

Invisible Technologies has 1,364,520 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Invisible Technologies has a month-over-month growth rate of +64.4%; Models.dev has -3.9%.

### How does pricing compare?

Invisible Technologies: Contact for Pricing. Pricing is not published. Invisible quotes per engagement based on data volume, model complexity and the level of expert involvement, so prospective customers book a demo or contact sales for a tailored proposal. 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 | Automates enterprise workflows with autonomous agents, but focuses primarily on CRM integration rather than custom operations. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 2 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | Delivers enterprise machine learning and autonomous agents, but lacks a dedicated human expert network for custom operations. | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 3 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Provides structured data labeling and agent workflows, but lacks Invisible's dedicated white-glove human operations workforce. | [.md](https://openaitools.app/tool/labelbox.md) |
| 4 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Strong human-in-the-loop data annotation and validation services, but offers less customizable end-to-end autonomous agent software. | [.md](https://openaitools.app/tool/appen-com.md) |
| 5 | [Dust](https://openaitools.app/tool/dust) | 547,217 | +1.8% | Contact for Pricing | Builds collaborative team knowledge agents, but lacks the deep human-in-the-loop operational outsourcing provided by Invisible. | [.md](https://openaitools.app/tool/dust.md) |
| 6 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-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 | [Writer](https://openaitools.app/tool/writer) | 180,869 | -17.6% | Free Trial, Paid, Contact for Pricing | Combines agentic workflows and custom language models for content, but lacks generalized enterprise operational workflow outsourcing. | [.md](https://openaitools.app/tool/writer.md) |
| 9 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Self-driving agent platform you run in your own cloud | [.md](https://openaitools.app/tool/agno.md) |
| 10 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Open-source platform for data labeling and evaluation, but requires self-hosting and managing your own labeling workforce. | [.md](https://openaitools.app/tool/label-studio.md) |

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Source: https://openaitools.app/compare/invisible-technologies-inc-vs-models-dev

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