# ChatGPT vs Whisper (OpenAI)

ChatGPT records 6,048,022,723 monthly visits with +2.2% month-over-month growth and Freemium pricing. Whisper (OpenAI) records 0 monthly visits with — growth and Free pricing.

| Metric | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | [Whisper (OpenAI)](https://openaitools.app/tool/whisper-github) |
| :--- | :--- | :--- |
| Website URL | https://chatgpt.com | https://github.com/openai/whisper |
| Categories | AI Chatbot, AI Assistant, AI Text Generator, AI Writing Assistants | AI Speech Recognition, AI Speech-to-Text, AI Transcriber, AI Translate |
| Pricing Model | Freemium | Free |
| Monthly Visits | 6,048,022,723 | 0 |
| MoM Growth Rate | +2.2% | — |
| Primary Market | United States | Global |
| Direct Visits | 4,435,694,005 | 0 |
| Review Score | 4.8 | 4.8 |
| Saved Count | 108 | 3 |
| Supported Platforms | Website | Open Source |

## ChatGPT

ChatGPT has evolved from a single conversational chatbot into OpenAI's comprehensive AI workspace for consumers, software engineers, and enterprises. While legacy directory listings still reference the 2023 'ChatGPT-4' era, the platform in late 2026 runs on OpenAI's tiered reasoning architecture: Free and Go accounts default to GPT-5.6 Luna, Plus subscribers gain GPT-5.6 Sol with configurable Instant, Medium, and High thinking levels, and Pro and Business Premium subscribers unlock GPT-6 Pro, GPT-6 Astra, and GPT-5.6 Sol Pro with context windows reaching up to 400K tokens in reasoning mode.

Beyond text generation, ChatGPT integrates dedicated agentic and multimodal workflows directly into the interface. Users can launch Deep Research to synthesize multi-step cited reports across the live web, collaborate inside Canvas for side-by-side document and code editing, and run autonomous software engineering tasks through ChatGPT Work and Codex—which execute, test, and refactor code across full repositories. Real-time Advanced Voice Mode with live camera and screen sharing, native image generation, and direct connectors for Google Drive, GitHub, SharePoint, and Notion allow teams to query internal knowledge bases without manual file uploads.

In 2026, OpenAI restructured ChatGPT's pricing ladder to span casual users to heavy agentic builders. The $8/month Go tier bridges the gap between Free and the standard $20/month Plus plan, while the expanded Pro lineup ($100, $200, and $500/month) removes the five-hour rolling usage cap in Work and Codex, unlocks Astra Ultrafast on Pro 500, and rebates 100% of the monthly subscription fee in OpenAI API credits. Organizations can deploy ChatGPT Business (formerly Team) starting at $20/seat/month billed annually with SSO, admin governance, and contractual guarantees that company data is never used for model training.

**Pricing & Plans:** Free tier ($0) on GPT-5.6 Luna; ChatGPT Go at $8/mo; ChatGPT Plus at $20/mo; ChatGPT Pro tiers at $100/mo, $200/mo, and $500/mo (with matching monthly API credits); Business Standard at $20/user/mo billed annually ($25/mo monthly) and Business Premium at $100-$125/user/mo.

- **GPT-6 Astra & GPT-5.6 Adaptive Reasoning:** Automatically routes prompts or lets users select between Instant responses and Medium, High, or Extra High thinking depth across GPT-5.6 Luna, GPT-5.6 Sol, and flagship GPT-6 Pro/Astra models.
- **ChatGPT Work & Cloud Codex Agents:** Asynchronous software engineering and task agents that clone repositories, run terminal tests in sandboxed environments, resolve complex bugs, and submit pull requests.
- **Autonomous Deep Research:** Browses dozens of primary web sources, academic papers, and connected workspace documents over several minutes to compile structured, citation-backed analytical reports.
- **Interactive Canvas & Multimodal Voice:** Provides a split-screen editor for inline prose and code revisions alongside low-latency voice conversations with live screen and camera grounding.
- **Pro API Credit Rebate & Workspace Connectors:** Every Pro tier ($100, $200, $500/mo) includes its full subscription value in monthly OpenAI API credits, plus native integrations with GitHub, Google Drive, and Microsoft 365.

**Strengths:** Full monthly fee rebated as usable OpenAI API credits across all three Pro tiers ($100, $200, and $500/mo); Removes the 5-hour rolling usage cap in ChatGPT Work and Codex on Pro plans for uninterrupted agentic coding; Budget-friendly $8/mo ChatGPT Go plan makes expanded memory and higher daily message caps accessible below Plus; Industry-leading multimodal ecosystem combining Deep Research, Canvas, Advanced Voice, and native image generation

**Limitations:** Plus ($20/mo) enforces 5-hour rolling message caps in Work and Codex and excludes GPT-6 Pro in standard chat; A five-tier consumer pricing ladder (Free, Go, Plus, and three separate Pro tiers) makes choosing the right allowance confusing; Instant context window on lower tiers (54K on Plus vs 128K on Pro) is smaller than Google Gemini's 1M-token standard window

[Profile (Markdown)](https://openaitools.app/tool/chatgpt-4.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 ChatGPT and Whisper (OpenAI) compare in monthly traffic?

ChatGPT has 6,048,022,723 monthly visits, while Whisper (OpenAI) has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

ChatGPT has a month-over-month growth rate of +2.2%; Whisper (OpenAI) has —.

### How does pricing compare?

ChatGPT: Freemium. Free tier ($0) on GPT-5.6 Luna; ChatGPT Go at $8/mo; ChatGPT Plus at $20/mo; ChatGPT Pro tiers at $100/mo, $200/mo, and $500/mo (with matching monthly API credits); Business Standard at $20/user/mo billed annually ($25/mo monthly) and Business Premium at $100-$125/user/mo. 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 | [Google Gemini](https://openaitools.app/tool/gemini-gemini-advanced) | 2,637,398,242 | -0.1% | Freemium | Provides massive context windows and deep Google Workspace integration, but trails behind in advanced coding workflows. | [.md](https://openaitools.app/tool/gemini-gemini-advanced.md) |
| 2 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Offers superior long-form writing and coding assistance with interactive artifacts, but lacks built-in deep web search. | [.md](https://openaitools.app/tool/claude-2.md) |
| 3 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | Delivers exceptional open-weight reasoning and math performance at lower cost, but features a simpler consumer interface. | [.md](https://openaitools.app/tool/deepseek.md) |
| 4 | [Grok](https://openaitools.app/tool/grok) | 203,846,050 | -0.8% | Freemium | Integrates real-time social media data and image generation directly into chat, but has fewer enterprise integrations. | [.md](https://openaitools.app/tool/grok.md) |
| 5 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 6 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Excels at real-time web research with verifiable inline citations, but offers less robust general conversational coding features. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 7 | [Meta AI](https://openaitools.app/tool/meta-ai) | 43,935,687 | +27.7% | Free | Provides a completely free conversational assistant across social apps, but lacks advanced coding agents and deep research. | [.md](https://openaitools.app/tool/meta-ai.md) |
| 8 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 9 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Specializes in processing exceptionally long documents for deep research, but lacks multi-modal voice and advanced code execution. | [.md](https://openaitools.app/tool/kimi-chat.md) |
| 10 | [Happy Scribe](https://openaitools.app/tool/happyscribe-com) | 4,088,330 | +8% | Freemium, Free Trial, Paid | AI transcription and meeting notes in 150+ languages | [.md](https://openaitools.app/tool/happyscribe-com.md) |

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Source: https://openaitools.app/compare/chatgpt-4-vs-whisper-github

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