# Grok vs Whisper (OpenAI)

Grok records 203,846,050 monthly visits with -0.8% month-over-month growth and Freemium pricing. Whisper (OpenAI) records 0 monthly visits with — growth and Free pricing.

| Metric | [Grok](https://openaitools.app/tool/grok) | [Whisper (OpenAI)](https://openaitools.app/tool/whisper-github) |
| :--- | :--- | :--- |
| Website URL | https://grok.com | https://github.com/openai/whisper |
| Categories | AI Assistant, AI Search Engine, AI Image Generator, AI Chatbot | AI Speech Recognition, AI Speech-to-Text, AI Transcriber, AI Translate |
| Pricing Model | Freemium | Free |
| Monthly Visits | 203,846,050 | 0 |
| MoM Growth Rate | -0.8% | — |
| Primary Market | United States | Global |
| Direct Visits | 133,669,269 | 0 |
| Review Score | 4.5 | 4.8 |
| Saved Count | 31 | 3 |
| Supported Platforms | Website | Open Source |

## Grok

Developed by xAI, Grok has transformed from an X-exclusive chatbot into a standalone frontier AI ecosystem accessible at grok.com, on iOS and Android, inside the X platform, and via the xAI API. By late 2026, xAI retired the original Grok 3 and initial Grok 4 checkpoints in favor of an upgraded Grok 4 family led by Grok 4.7 (released September 21, 2026, 500K-token context window), alongside Grok 4.5, the 1M-context Grok 4.3, the 2M-context Grok 4.1 Fast, and the specialized Grok Build 0.1 coding model.

Grok differentiates itself through unfiltered real-time information retrieval and an integrated creative and coding suite. Its DeepSearch engine synthesizes live breaking news, public sentiment, and primary discussions directly from the X firehose alongside the open web—giving it a distinct real-time edge over static-cutoff competitors. Within the grok.com workspace, paid users share a unified weekly compute pool across conversational reasoning, Voice mode, Imagine (native photorealistic image and video generation), Grok Bot automation, and Grok Build (which replaced the older Grok Studio as xAI's dedicated agentic coding environment).

In October 2026, xAI streamlined its consumer pricing by unifying standalone SuperGrok plans and X Premium memberships into The X Subscription—bundling full Grok access, X Premium perks, and the Cursor code editor across five tiers: Free ($0), Plus ($8/month), Premium ($30/month, matching the classic $30/month SuperGrok tier), Super ($100/month, matching SuperGrok Plus), and Ultra ($200/month), while legacy SuperGrok Lite ($10/mo) and Heavy ($300/mo) subscribers remain grandfathered and Grok Business serves teams at $30/seat/month. On the xAI API, flagship Grok 4.7 is aggressively priced at $2.00 per million input tokens ($0.50 cached) and $6.00 per million output tokens for prompts under 200K tokens.

**Pricing & Plans:** Free tier ($0) with limited access; unified October 2026 X Subscription tiers at $8/mo (Plus), $30/mo (Premium / legacy SuperGrok), $100/mo (Super / legacy SuperGrok Plus), and $200/mo (Ultra) bundling Grok, Cursor editor access, and X perks; Business at $30/seat/mo; xAI API at $2/1M input and $6/1M output for flagship Grok 4.7.

- **Grok 4.7 Flagship Reasoning & Coding Model:** Features configurable reasoning, low hallucination rates, native agentic tool calling, and a 500K-token context window (with up to 2M tokens on Grok 4.1 Fast).
- **Real-Time X Firehose & DeepSearch:** Combines live web browsing with direct access to real-time posts, threads, and breaking events on X to deliver up-to-the-minute synthesis.
- **Grok Build & Cursor Subscription Bundle:** Provides a dedicated agentic coding environment with Grok Build 0.1 and Grok 4.7 Fast, while October 2026 subscription tiers bundle access to the Cursor code editor.
- **Imagine Multimodal Image & Video Generation:** Generates high-resolution images and video clips alongside real-time speech-to-speech Voice mode from a single shared weekly usage pool.
- **High-Value xAI Developer API:** Offers Grok 4.7 at $2/1M input and $6/1M output tokens ($0.50/1M cached input), plus a realtime Voice API ($0.08/min STS) and 20% batch discounts on Grok 4.3.

**Strengths:** Unrivaled real-time awareness via exclusive access to the live X social graph paired with DeepSearch web browsing; Flagship Grok 4.7 API ($2 input / $6 output per 1M tokens, $0.50 cached) significantly undercuts OpenAI and Anthropic flagship token pricing; Unified October 2026 subscription ($30/mo Premium, $100/mo Super, $200/mo Ultra) bundles Grok, X perks, and the Cursor code editor; Massive context windows ranging from 500K tokens on Grok 4.7 to 1M on Grok 4.3 and 2M on Grok 4.1 Fast

**Limitations:** Consumer paid plans draw Chat, Imagine media generation, Voice, and Grok Build from a single shared weekly quota that heavy multi-tool users can exhaust; API prompts exceeding 200K tokens double the rate for the entire request ($4/1M input and $12/1M output on Grok 4.7); Frequent 2025-2026 plan restructurings (X Premium+ to SuperGrok tiers to October 2026's unified X Subscription) create confusion around legacy vs. current tiers

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

## Whisper (OpenAI)

Whisper was introduced by OpenAI as a general-purpose speech recognition model trained on a very large, diverse dataset of web audio. Instead of stacking separate acoustic, language and punctuation modules, it treats every speech task as a token prediction problem: transcription, translation, language identification and voice activity detection all share one Transformer encoder-decoder and are distinguished by special task tokens. That single-model design is why a straightforward `pip install` is enough to get multilingual transcription running on a laptop, and why Whisper has become a de facto baseline for open speech-to-text work.

The repository ships six model sizes — tiny, base, small, medium, large and a faster turbo variant — trading accuracy for memory and speed. Each size also has an English-only `.en` counterpart that tends to score better on English audio, while the multilingual checkpoints are the ones to use when translating non-English speech into English. Practical VRAM needs range from roughly 1 GB for tiny up to about 10 GB for large, so the smaller checkpoints run comfortably on consumer hardware or even CPU, while large models are usually paired with a GPU.

Because Whisper is a model and a Python package rather than a hosted product, there is no dashboard, account or quota. You install it, point the command line at audio files, and write your own integration on top. It supports many audio formats through ffmpeg, and its per-language accuracy varies widely — strong for high-resource languages, weaker for low-resource ones — which is worth knowing before adopting it for production transcription.

**Pricing & Plans:** Free and open source. The code and weights are published on GitHub under the MIT license with no usage fees or per-minute charges, though you pay for whatever compute you run it on and any OpenAI API usage if you pair it with their hosted services.

- **Multitask single model:** One Transformer handles transcription, speech translation into English, language identification and voice activity detection, selected through special task tokens.
- **Multiple model sizes:** Choose from tiny, base, small, medium, large and turbo checkpoints, with English-only .en variants, to balance accuracy against VRAM and speed.
- **Broad language coverage:** Multilingual checkpoints transcribe and translate dozens of languages, with automatic language detection on mixed-language audio.
- **Command-line and Python API:** Install via pip with openai-whisper and transcribe files from the terminal or from your own Python code, with ffmpeg handling audio decoding.
- **Permissive MIT license:** Freely embed, modify and redistribute the code and weights in commercial and personal projects without licensing fees.

**Strengths:** Completely free and open source under a permissive MIT license; Strong multilingual accuracy across many languages with automatic detection; Runs locally, so audio never has to leave your hardware; Several model sizes let you match accuracy to available compute

**Limitations:** No hosted UI, account or support — you must install and operate it yourself; Large models need substantial VRAM and a GPU for reasonable speed; Accuracy drops noticeably on low-resource languages and noisy audio; Setup requires Python, PyTorch and ffmpeg, which can be fiddly for non-developers

[Profile (Markdown)](https://openaitools.app/tool/whisper-github.md)

## Frequently Asked Questions

### How do Grok and Whisper (OpenAI) compare in monthly traffic?

Grok has 203,846,050 monthly visits, while Whisper (OpenAI) has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Grok has a month-over-month growth rate of -0.8%; Whisper (OpenAI) has —.

### How does pricing compare?

Grok: Freemium. Free tier ($0) with limited access; unified October 2026 X Subscription tiers at $8/mo (Plus), $30/mo (Premium / legacy SuperGrok), $100/mo (Super / legacy SuperGrok Plus), and $200/mo (Ultra) bundling Grok, Cursor editor access, and X perks; Business at $30/seat/mo; xAI API at $2/1M input and $6/1M output for flagship Grok 4.7. Whisper (OpenAI): Free. Free and open source. The code and weights are published on GitHub under the MIT license with no usage fees or per-minute charges, though you pay for whatever compute you run it on and any OpenAI API usage if you pair it with their hosted services.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | Stronger reasoning and broader app ecosystem, but lacks Grok's native live X social media data integration. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Google Gemini](https://openaitools.app/tool/gemini-gemini-advanced) | 2,637,398,242 | -0.1% | Freemium | Better Google workspace integration and massive context window, but lacks Grok's edgy conversational tone and X feed. | [.md](https://openaitools.app/tool/gemini-gemini-advanced.md) |
| 3 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Superior coding and document analysis, but lacks real-time social media search and instant image generation. | [.md](https://openaitools.app/tool/claude-2.md) |
| 4 | [Adobe Firefly](https://openaitools.app/tool/adobe) | 396,998,213 | -8.6% | Freemium | Commercially safe creative design and editing tools, but lacks general-purpose conversational chat and web search. | [.md](https://openaitools.app/tool/adobe.md) |
| 5 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | Outstanding low-cost reasoning and open-weight model performance, but lacks real-time social data search capabilities. | [.md](https://openaitools.app/tool/deepseek.md) |
| 6 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Exceptional cited web research and source verification, but lacks conversational flexibility and built-in image generator. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 7 | [Meta AI](https://openaitools.app/tool/meta-ai) | 43,935,687 | +27.7% | Free | Free social-integrated assistant with image generation, but less advanced coding and reasoning capabilities than Grok. | [.md](https://openaitools.app/tool/meta-ai.md) |
| 8 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Powerful long-context document analysis and deep research, but lacks real-time social data search and image creation. | [.md](https://openaitools.app/tool/kimi-chat.md) |
| 9 | [Genspark.ai](https://openaitools.app/tool/genspark-ai) | 10,215,720 | -7.9% | Freemium, Paid, Contact for Pricing | Advanced agentic search and automated research pages, but less polished as a general daily chat assistant. | [.md](https://openaitools.app/tool/genspark-ai.md) |
| 10 | [Midjourney](https://openaitools.app/tool/midjourney) | 8,609,446 | -0.9% | Freemium | Far superior high-aesthetic image generation, but entirely lacks conversational chat, coding, and web search features. | [.md](https://openaitools.app/tool/midjourney.md) |

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Source: https://openaitools.app/compare/grok-vs-whisper-github

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