# LLM Pricing vs Models.dev

LLM Pricing records 0 monthly visits with 0% month-over-month growth and Free pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing.

| Metric | [LLM Pricing](https://openaitools.app/tool/llm-pricing) | [Models.dev](https://openaitools.app/tool/models-dev) |
| :--- | :--- | :--- |
| Website URL | https://llm-price.com | https://models.dev |
| Categories | Large Language Models (LLMs), AI Models, AI Tools Directory | AI Models, AI API, Open Source AI Models, AI Tools Directory |
| Pricing Model | Free | Free |
| Monthly Visits | 0 | 200,451 |
| MoM Growth Rate | 0% | -3.9% |
| Primary Market | Global | China |
| Direct Visits | 0 | 136,316 |
| Review Score | 4.5 | 4.4 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## LLM Pricing

Pricing for language model APIs is genuinely hard to compare. Every provider quotes rates differently, input and output tokens are priced apart, batch and standard tiers diverge, and new models appear weekly. LLM Pricing turns that into a single sortable table covering hundreds of models with released date, context window, input cost, output cost and total cost.

Beyond the table there is a practical estimator: enter your expected input and output token volumes and the page calculates spend per model, so you can sanity-check whether a cheaper-per-token model is actually cheaper for your workload. Filters by provider and search keep the list navigable even with hundreds of entries.

The page now lives under AILesson, a learning platform that bundles AI courses, a prompt library and a free AI playground alongside the pricing data. The catalog refreshes on a roughly six-hour cache cycle from an upstream model catalog, and the site itself notes that rates change over time and should be confirmed with the provider before purchase.

**Pricing & Plans:** Free to use; no account or subscription is required to browse the pricing table or use the estimator.

- **Hundreds of models in one table:** Compare released date, context length, input cost, output cost and total cost across 400+ models.
- **Interactive cost estimator:** Enter your expected input and output token volumes to see estimated spend per model.
- **Provider and modality filters:** Narrow the list by provider such as OpenAI, Anthropic, Google or DeepSeek, and by supported input modalities.
- **Regular price refreshes:** Model specifications and prices refresh on a roughly six-hour cache cycle when the source is available.
- **Educational context:** Sits alongside AILesson courses, prompt recipes and a free AI playground for hands-on testing.

**Strengths:** Covers a very large number of models, including smaller and open-weight providers; Input, output and total costs shown together rather than buried in separate docs; Free with no sign-up needed to browse; Estimator turns prices into a concrete cost for your own usage

**Limitations:** Prices are cached and can lag the provider's live pricing page; No historical price charts or alerts when rates change; Now part of the AILesson brand, so the surrounding site is course-oriented rather than purely a comparison tool

[Profile (Markdown)](https://openaitools.app/tool/llm-pricing.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 LLM Pricing and Models.dev compare in monthly traffic?

LLM Pricing has 0 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

LLM Pricing has a month-over-month growth rate of 0%; Models.dev has -3.9%.

### How does pricing compare?

LLM Pricing: Free. Free to use; no account or subscription is required to browse the pricing table or use the estimator. 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 | [mcp.so](https://openaitools.app/tool/mcp-server) | 286,704 | -3% | Free | Discover and share Model Context Protocol servers for AI agents and coding tools | [.md](https://openaitools.app/tool/mcp-server.md) |
| 2 | [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) |
| 3 | [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) |
| 4 | [All GPTs](https://openaitools.app/tool/all-gpts) | 32,569 | +9.3% | Free | A curated directory of 30,000+ custom GPTs and AI agents | [.md](https://openaitools.app/tool/all-gpts.md) |
| 5 | [ToolDirectory.AI](https://openaitools.app/tool/tooldirectory-ai) | 30,123 | +64.9% | Freemium | An editor-reviewed directory of 2,888+ AI tools, dated and marked live or retired | [.md](https://openaitools.app/tool/tooldirectory-ai.md) |
| 6 | [GPUPerHour](https://openaitools.app/tool/gpuperhour) | 28,718 | +25.3% | Free | Live cloud GPU price comparison across 31 providers | [.md](https://openaitools.app/tool/gpuperhour.md) |
| 7 | [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) |
| 8 | [LLM Price Check](https://openaitools.app/tool/llm-price-check) | 8,255 | -34.7% | Free | Tracks per-token API prices across major AI providers in a simple comparison table, but omits broader model specs. | [.md](https://openaitools.app/tool/llm-price-check.md) |
| 9 | [OpenGPT](https://openaitools.app/tool/opengpt-com) | 3,559 | -24.7% | Freemium | Helps compare foundation model performance and AI stacks, but functions more as a decision workspace than raw database. | [.md](https://openaitools.app/tool/opengpt-com.md) |
| 10 | [Countless.dev](https://openaitools.app/tool/countless-dev) | 787 | -45.8% | Free | A free, open-source comparison directory for evaluating AI model pricing and capabilities very similar to Models.dev. | [.md](https://openaitools.app/tool/countless-dev.md) |

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

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