# Golmar Docs vs LLM API Request

The clearest difference is iOS requirement: Golmar Docs at 11.2 against LLM API Request's 18.0. On price, ads, in-app purchases and device support there is nothing between them.

Both are free to download. Neither carries in-app purchases, so what you see is what you pay.

## The numbers

| Metric | Golmar Docs | LLM API Request |
| --- | --- | --- |
| Price | Free | Free |
| Rating | — | **[5.0 (2 ratings)](https://appshunter.io/ios/app/llm-api-request/id6761399837/reviews)** |
| Number of ratings | — | **2** |
| In-app purchases | No | No |
| Ads | No | No |
| Update frequency | — | Every 3 weeks |
| Monetization | — | Free |
| Size | 42 MB | 43 MB |
| Requires iOS | **11.2** | 18.0 |
| Devices | **iPhone, iPad, iPod** | iPhone, iPad |
| Age rating | 4+ | 12+ |
| Developer | [Golmar Sistemas de Comunicacion, SA](https://appshunter.io/developer/1333092728) | [Marc-Henri Bleu-Laine](https://appshunter.io/developer/1889383780) |

## What reviewers say

### Golmar Docs

[App page](https://appshunter.io/ios/app/golmar-docs/id1348285800)

**Features:** macOS Compatibility

**In-app purchases:** none


### LLM API Request

[App page](https://appshunter.io/ios/app/llm-api-request/id6761399837)

Send requests to various AI models directly from Apple Shortcuts using your own API keys. Supports local models, file attachments, and conversation history. Export conversations and track token usage.

**Highlights:** Use own API keys, Supports OpenAI, Anthropic, Gemini, Grok, Perplexity, Local model support, Attach files to requests, Conversation history, Export conversations as Markdown, Token usage tracking

**Features:** macOS Compatibility

**In-app purchases:** none


## Frequently asked questions

### Is Golmar Docs free?

Golmar Docs is free to download, with no in-app purchases.

### Is LLM API Request free?

LLM API Request is free to download, with no in-app purchases.

### Do Golmar Docs or LLM API Request have ads?

Neither Golmar Docs nor LLM API Request shows ads.

---

*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*