# Moises vs Runware

Moises records 4,486,503 monthly visits with +6.6% month-over-month growth and Freemium pricing. Runware records 402,862 monthly visits with +27.1% growth and Paid pricing.

| Metric | [Moises](https://openaitools.app/tool/moises) | [Runware](https://openaitools.app/tool/runware) |
| :--- | :--- | :--- |
| Website URL | https://moises.ai | https://runware.ai |
| Categories | AI Vocal Remover, AI Stems Splitter, AI Mastering, Chord AI | AI API, AI Image Generator, Text to Image, AI Models |
| Pricing Model | Freemium | Paid |
| Monthly Visits | 4,486,503 | 402,862 |
| MoM Growth Rate | +6.6% | +27.1% |
| Primary Market | Brazil | United States |
| Direct Visits | 1,972,446 | 189,796 |
| Review Score | 4.6 | 4.5 |
| Saved Count | 33 | 0 |
| Supported Platforms | Website | Website |

## Moises

Moises began as one of the best-known AI vocal removers and has grown into a complete creative suite for musicians. Its core stem separation engine isolates vocals, drums, bass, guitar, piano, keys, winds and strings, supporting up to 27 stem types with high-fidelity models. You can mute or solo any part, drop the tempo, transpose the key and loop tricky passages to practice them slowly.

Beyond practice, Moises adds composition and performance tools. A chord finder detects the harmony of a track, lyric transcription writes out the words, and a built-in metronome and speed changer help you stay in time. Moises Studio lets bands, producers and co-writers arrange, record and edit the same session together in the browser in real time, with no file handoffs. Video recording tools capture performances with studio-quality audio.

Moises runs as a web app in any browser and as native apps for iPhone, iPad, Android, macOS and Windows, so you can practise on the bus or produce at your desk. It is trusted by Grammy-winning artists, music schools and millions of hobbyists alike, and the company states it never trains on your personal audio.

**Pricing & Plans:** Freemium. The free tier includes a limited number of uploads per month and a subset of features. Paid subscriptions unlock unlimited uploads, higher-quality separation models, longer tracks and advanced tools. Check the official pricing page for current tiers.

- **AI stem separation:** Split any track into up to 27 isolated stems including vocals, drums, bass, guitar, piano, keys, winds and strings.
- **Practice controls:** Slow the speed without changing pitch, transpose the key, loop sections and mute or solo your part while you play along.
- **Chord detection and lyrics:** Automatically detect the chords in a song and transcribe lyrics so you can learn songs faster.
- **Moises Studio collaboration:** Arrange, record and edit the same session with bandmates or producers in real time, right in the browser.
- **Audio mastering:** Polish your own recordings with AI-assisted mastering to get a louder, more balanced finished track.

**Strengths:** Excellent separation quality across many instrument types; Available on web, mobile and desktop so practice fits any setting; Chord finder, lyrics, tempo and key tools cover the whole practice loop; Free tier is genuinely usable for casual learners

**Limitations:** Free tier is limited by monthly uploads and feature access; High-quality models and unlimited uploads require a paid subscription; Separation artifacts can still appear on dense or low-quality mixes

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

## Runware

Runware started as a low-cost, high-speed image generation API and has grown into an end-to-end AI infrastructure company. The core promise today is consolidation: instead of stitching together separate endpoints for image, video, audio, LLM and 3D tasks, you POST an array of tasks to one endpoint, authenticate with one key, and receive one invoice. Switching models is described as a string change. Requests can travel over REST or WebSockets, results can stream back over SSE, and a webhook can be attached per task.

The performance story is built on hardware the company controls. Runware designs, builds and runs modular data centers called Sonic Pods, and pairs them with an orchestration layer — together branded the Sonic Inference Engine. Models are preloaded across regions and routed through shared queues to a pod that already has the weights in memory, which the company says is where its throughput and unit economics come from. Open models are billed on optimized compute time, so a faster generation costs less; closed and partner models are priced at negotiated volume rates.

Beyond managed model APIs, Runware sells raw compute. Serverless GPU workers are billed by the second and scale to zero when idle, and teams with a predictable baseline can reserve GPU capacity for a term, or take a dedicated bare-metal cluster starting from 72 GPUs. The company markets itself heavily on price — claiming up to 10x lower cost per generation than published market rates and GPU rates that undercut typical neocloud pricing — and backs the platform with SOC 2, ISO 27001 and GDPR compliance, EU/US data residency, a no-training-on-your-data policy, and an optional Zero Data Retention mode for enterprises.

**Pricing & Plans:** Pay-as-you-go with no subscription required. Managed inference is billed per generation, per second of video, per character of audio, or per 1M tokens for LLMs; published rates include examples such as FLUX 3 Image Klein from about $0.003 per image and GLM-5.3-Flash at $0.15 per 1M input tokens. Serverless GPU compute is metered by the second (RTX PRO 6000 listed around $1.99 per GPU-hour) and scales to zero; reserved capacity is advertised as low as $0.63 per GPU-hour on term commitments, with dedicated bare-metal clusters available from 72 GPUs. Failed or rate-limited requests are not charged, new users signing up with a business email receive $2 in free credits, and volume discounts are available via sales.

- **One API for every modality:** Image, video, audio, LLM and 3D tasks all POST to a single endpoint as an array, so mixed-modality batches can travel in one request with shared auth and billing.
- **400K+ model catalog:** Browse hosted, partner and community models through one addressing scheme, control parameters such as stacked LoRAs and swapped VAEs on open models, and add your own uploads.
- **Serverless and reserved GPU compute:** Bring your own container and weights to serverless GPUs billed by the second that scale to zero when idle, or commit to reserved capacity and bare-metal clusters for a lower per-hour rate.
- **Sonic Pods and the Sonic Inference Engine:** Purpose-built modular data centers plus an orchestration layer that keeps weights preloaded across regions and routes requests to pods that already hold the model in memory.
- **Developer tooling and agent integrations:** A hosted MCP server, CLI, skill files, playground, model schemas and llms.txt let you wire Runware into Claude Code, Cursor, Codex or any MCP-capable client with minimal setup.
- **Enterprise-grade trust and compliance:** SOC 2, ISO 27001 and GDPR compliance, EU and US data residency, SSO/SAML, configurable MFA, a strict no-training-on-customer-data policy and optional Zero Data Retention.

**Strengths:** Unusually broad catalog — hundreds of thousands of models behind one consistent endpoint and API key; Aggressive published pricing, with claims of up to 10x lower cost per generation than market rates; Both managed inference and raw compute in one platform, so you can migrate from API calls to your own containers without changing vendors; Real infrastructure differentiation through self-designed modular data centers rather than reselling someone else's capacity

**Limitations:** The breadth of the catalog and the mix of hosted, partner and community models can be overwhelming when choosing a model; Only a subset of models (currently around 300+) has published pricing on the rate sheet, so some community models require checking the playground for cost; LLM billing splits input, output and cache-read token dimensions, adding complexity to cost forecasting; Bare-metal and high-volume reserved capacity are sales-gated rather than self-serve

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

## Frequently Asked Questions

### How do Moises and Runware compare in monthly traffic?

Moises has 4,486,503 monthly visits, while Runware has 402,862. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Moises has a month-over-month growth rate of +6.6%; Runware has +27.1%.

### How does pricing compare?

Moises: Freemium. Freemium. The free tier includes a limited number of uploads per month and a subset of features. Paid subscriptions unlock unlimited uploads, higher-quality separation models, longer tracks and advanced tools. Check the official pricing page for current tiers. Runware: Paid. Pay-as-you-go with no subscription required. Managed inference is billed per generation, per second of video, per character of audio, or per 1M tokens for LLMs; published rates include examples such as FLUX 3 Image Klein from about $0.003 per image and GLM-5.3-Flash at $0.15 per 1M input tokens. Serverless GPU compute is metered by the second (RTX PRO 6000 listed around $1.99 per GPU-hour) and scales to zero; reserved capacity is advertised as low as $0.63 per GPU-hour on term commitments, with dedicated bare-metal clusters available from 72 GPUs. Failed or rate-limited requests are not charged, new users signing up with a business email receive $2 in free credits, and volume discounts are available via sales.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | One API key for hundreds of AI models from every major provider | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [RunningHub](https://openaitools.app/tool/runninghub) | 3,105,554 | -28.5% | Freemium | Cloud ComfyUI platform to run workflows and build AI apps | [.md](https://openaitools.app/tool/runninghub.md) |
| 3 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Offers a similar developer-first cloud for ultra-fast generative media inference, but with distinct pricing tiers. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 4 | [LALAL.AI](https://openaitools.app/tool/lalal-ai) | 1,963,370 | -12.1% | Freemium, Paid | Offers exceptionally clean vocal and instrumental stem separation, but lacks Moises's built-in chord detection and practice tools. | [.md](https://openaitools.app/tool/lalal-ai.md) |
| 5 | [LANDR](https://openaitools.app/tool/landr) | 1,885,312 | +3.3% | Paid | Comprehensive music production ecosystem focusing on mastering and distribution, rather than interactive instrument practice. | [.md](https://openaitools.app/tool/landr.md) |
| 6 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Stronger focus on open-source LLM hosting and dedicated clusters, but less tailored for instant image generation. | [.md](https://openaitools.app/tool/together-ai.md) |
| 7 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Provides comparable serverless model deployment and fine-tuning, but features a broader general-purpose ML ecosystem. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 8 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | Delivers unified access to generative media models, but lacks Runware's specialized focus on raw inference speed. | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 9 | [OpenMusic AI](https://openaitools.app/tool/openmusic-ai) | 709,073 | -7.4% | Freemium | All-in-one AI music studio for generating, editing, and mastering royalty-free tracks | [.md](https://openaitools.app/tool/openmusic-ai.md) |
| 10 | [Kits AI](https://openaitools.app/tool/kits-ai) | 691,420 | -15.3% | Freemium | Specializes in advanced AI voice cloning and singing generation, alongside robust stem separation capabilities. | [.md](https://openaitools.app/tool/kits-ai.md) |

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Source: https://openaitools.app/compare/moises-vs-runware

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