# ChatGPT vs Polymath

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

| Metric | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | [Polymath](https://openaitools.app/tool/polymath) |
| :--- | :--- | :--- |
| Website URL | https://chatgpt.com | https://github.com/samim23/polymath |
| Categories | AI Chatbot, AI Assistant, AI Text Generator, AI Writing Assistants | AI Stems Splitter, AI Midi Generator, AI Song Remixer, Open Source AI Models |
| 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 | 4.4 |
| Saved Count | 108 | 4 |
| 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)

## Polymath

Polymath is built around a simple idea: any large music collection is effectively an untapped sample pack. Instead of digging through folders manually, you point the tool at your audio and let a chain of neural networks label, slice and align it. Music source separation is handled by Demucs, structure segmentation by sf_segmenter, pitch tracking and key detection by Crepe, and audio-to-MIDI by Basic Pitch, with pyrubberband and librosa covering quantization and metadata.

Once a song has been analyzed once, it lives in a local database file, so repeated searches and quantization steps are fast and do not require re-processing. You add tracks with the -a flag (single files, folders or YouTube IDs), quantize with -q against a target BPM or the track's own tempo, and search for similar material with -s. Everything is driven from the terminal or through the included Docker image.

Typical workflows split into two camps. Producers and DJs use Polymath to extract a beat from one genre, a bassline from another and horns from a third, all tempo-matched and ready to drop into a DAW — or to assemble smooth, hour-long mixes from tracks that share a feel. Machine-learning developers use it to generate large, richly labeled audio datasets for training generative music models.

**Pricing & Plans:** Polymath is free and open source under the MIT license. The repository is public on GitHub, so there is no subscription, license fee or account. Running it does require compatible software (ffmpeg and Python 3.7–3.10) and, for practical speeds, a GPU — the cost of any hardware or cloud compute is yours.

- **Library ingestion from disk or YouTube:** Feed Polymath a single track, a folder, or a list of YouTube IDs and it builds a persistent local database of analyzed songs that can be searched instantly afterwards.
- **Neural stem separation:** Demucs splits each song into beats, bass, vocals and other stems, which are then saved to a separated folder for use in your DAW.
- **Tempo quantization to a common grid:** Every track can be time-stretched and re-aligned to a shared tempo and beat grid (for example 120 BPM), so elements from different songs line up cleanly.
- **Structure, key and loudness analysis:** Polymath labels musical sections such as verse and chorus, detects key and loudness, and exposes that metadata for search and filtering.
- **Audio-to-MIDI transcription:** Pitch tracking and Basic Pitch transcription turn melodic material into MIDI files you can edit and re-arrange in any instrument track.
- **Similarity search across the library:** Given a song already in the library, Polymath finds the most similar tracks (optionally including BPM as a criterion) to support mash-ups and long-form mixes.

**Strengths:** Completely free and open source under a permissive MIT license; Chains several proven ML models (Demucs, Crepe, Basic Pitch) into one workflow; Persistent library database makes repeated search and quantization fast; Handles both local files and YouTube sources, plus batch additions

**Limitations:** Python stack is pinned to Python 3.7–3.10, so newer environments may need extra setup work; Requires ffmpeg plus a sizeable set of ML dependencies, and initial GPU support is easiest on native installs; Analysis of every new track takes time before it becomes searchable; There is no hosted web UI — everything runs through the command line or Docker

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

## Frequently Asked Questions

### How do ChatGPT and Polymath compare in monthly traffic?

ChatGPT has 6,048,022,723 monthly visits, while Polymath 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%; Polymath 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. Polymath: Free. Polymath is free and open source under the MIT license. The repository is public on GitHub, so there is no subscription, license fee or account. Running it does require compatible software (ffmpeg and Python 3.7–3.10) and, for practical speeds, a GPU — the cost of any hardware or cloud compute is yours.

## 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 | [Civitai](https://openaitools.app/tool/civitai) | 6,963,136 | +12.8% | Freemium | Discover, download and generate with open-source AI models for image, video and 3D. | [.md](https://openaitools.app/tool/civitai.md) |

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

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