# OnAPI vs reAPI

OnAPI records 0 monthly visits with 0% month-over-month growth and Paid pricing. reAPI records 20,221 monthly visits with +888.3% growth and Paid pricing.

| Metric | [OnAPI](https://openaitools.app/tool/onapi) | [reAPI](https://openaitools.app/tool/reapi) |
| :--- | :--- | :--- |
| Website URL | https://onapi.ai | https://reapi.ai |
| Categories | AI API, AI Text Generator, AI Image Generator, AI Music Generator | AI API, Large Language Models (LLMs), AI Image Generator, AI Video Generator |
| Pricing Model | Paid | Paid |
| Monthly Visits | 0 | 20,221 |
| MoM Growth Rate | 0% | +888.3% |
| Primary Market | Global | Ukraine |
| Direct Visits | 0 | 12,516 |
| Review Score | 4.2 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## OnAPI

OnAPI is a multi-model AI API gateway built for developers and product teams who would rather integrate once than manage a dozen vendor accounts. Instead of wiring up separate SDKs, keys, rate limits, and billing relationships for every model family, you point your code at a single base URL, authenticate with one key, and select the model you want per request. Because the interface follows common OpenAI-style conventions, existing clients and libraries can often be repointed with minimal changes.

The platform spans multiple modalities. On the text side it covers major chat and reasoning models for assistants, summarization, extraction, and code generation. Beyond language, it also brokers image generation, video generation, and audio/music style endpoints, so a single integration can serve a product that needs several kinds of output. That consolidation is the core value proposition: fewer credentials to rotate, one place to track usage, and the ability to swap a model when a better or cheaper option appears.

OnAPI describes a dual-channel routing approach, where everyday or high-volume requests can be sent through a value tier to control cost, while latency- or reliability-critical workloads can be routed through an official tier. Exact pricing and per-model rates are published on the provider's own site and can change, so check current documentation before committing to a budget. As with any independent aggregator, keep a fallback provider and verify data-handling and uptime terms for production systems.

**Pricing & Plans:** Paid, usage-based API pricing. The vendor describes value and official channel tiers with different cost and stability characteristics; exact per-model rates are listed on the OnAPI website and are subject to change, so confirm current numbers there.

- **Unified, OpenAI-compatible endpoint:** Call many different models through one base URL and one API key, so existing OpenAI-style clients and SDKs usually need only minor changes.
- **Multi-modal coverage:** Access text and reasoning models alongside image, video, and audio/music generation endpoints from the same integration.
- **Dual-channel routing:** Route routine traffic through a value tier to reduce spend, and move critical workloads to an official tier when stability matters more than cost.
- **Single-account billing and keys:** Manage credentials and usage in one place instead of juggling separate accounts, quotas, and invoices across vendors.
- **Broad model catalog:** Work with well-known families such as GPT, Claude, and Gemini plus popular image and video generators, and switch models without rebuilding your stack.

**Strengths:** One key and endpoint replace multiple vendor integrations; Covers text, image, video, and audio modalities in one place; Channel tiers let you trade cost against stability per workload; OpenAI-compatible interface keeps migration effort low

**Limitations:** As an independent aggregator, uptime and data-handling depend on a third party; Pricing and available models can change and should be verified on the site; During our check the site returned a server error, so live availability should be confirmed before relying on it

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

## reAPI

Most teams building with generative AI end up integrating the same capability several times over: one client for chat, another for images, another for video, each with its own authentication scheme, retry semantics, rate-limit behaviour and billing relationship. reAPI's proposition is that these should collapse into one integration. Your existing OpenAI-style client library keeps working; you change the model name in the request to route to a different vendor, and reAPI handles vendor selection, failover and routing behind the curtain.

The models on offer span image generation (GPT Image, Nano Banana, Seedream, FLUX, Midjourney), video (Seedance, Veo, Kling, Vidu, MiniMax, Grok Imagine), language models (Claude, Gemini, GPT, DeepSeek, GLM, Kimi), music and audio tools (Suno, Mureka, vocal and stem utilities) and a set of text utilities such as humanising and AI-text detection. reAPI states its rates are below the vendors' published list prices — for example it lists GPT Image 2 1K at $0.004 per image against an official $0.219 — although any individual figure should be checked on their live page before you plan a budget around it.

Operationally, the platform markets 99.96% uptime with sub-second failover: if one upstream provider degrades, the request is re-routed to a redundant vendor rather than failing. Requests and responses are not stored on reAPI's side. Spending is controlled through prepaid credits (1 credit = $0.001) with per-key spend caps and team budget controls, plus region pinning to route traffic through EU, US or APAC data regions. Failed generations are refunded automatically. There is a playground for testing models before wiring them into production, plus documentation, guides and an MCP server for AI agents.

**Pricing & Plans:** Paid, credit-based, pay-as-you-go. You top up a prepaid balance where 1 credit equals $0.001 and pay only for calls you make — only completed generations are billed, and failed ones are refunded. Model rates are listed per call, per second or per 1M tokens depending on the model. Per-key spend caps and team budgets are available for cost control.

- **One unified endpoint:** Reach image, video, chat, music and code models from many vendors through a single API key and an OpenAI-compatible request shape, so existing client code keeps working.
- **Automatic failover and routing:** reAPI handles vendor selection and re-routes requests to a redundant provider when one degrades, which the company positions as sub-second failover behind a 99.96% uptime claim.
- **Zero request logging:** The platform states that your requests and responses are never stored on its side, which matters for teams with data-handling obligations.
- **Credit-based spend control:** Billing runs on prepaid credits worth $0.001 each, with per-key spend caps, team budget controls and automatic refunds for failed generations.
- **Region pinning:** Route traffic through EU, US or APAC data regions to align with latency targets and data residency requirements.
- **Playground, docs and MCP server:** Test models in a browser playground, read model-specific docs and pricing, and connect agents through a provided MCP server.

**Strengths:** A single OpenAI-compatible integration covers image, video, language, music and code models; Automatic failover and redundant routing reduce the blast radius of any one provider going down; Credit-based prepaid billing with per-key caps makes spend predictable and auditable; Stated rates sit below vendors' published list prices, with failed generations refunded

**Limitations:** You are trusting a middle layer between your application and the underlying model vendors; Published figures move quickly as new models launch, so pricing must be re-checked before committing to a budget; Costs are quoted per image, per second or per million tokens depending on the model, which takes effort to forecast accurately

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

## Frequently Asked Questions

### How do OnAPI and reAPI compare in monthly traffic?

OnAPI has 0 monthly visits, while reAPI has 20,221. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

OnAPI has a month-over-month growth rate of 0%; reAPI has +888.3%.

### How does pricing compare?

OnAPI: Paid. Paid, usage-based API pricing. The vendor describes value and official channel tiers with different cost and stability characteristics; exact per-model rates are listed on the OnAPI website and are subject to change, so confirm current numbers there. reAPI: Paid. Paid, credit-based, pay-as-you-go. You top up a prepaid balance where 1 credit equals $0.001 and pay only for calls you make — only completed generations are billed, and failed ones are refunded. Model rates are listed per call, per second or per 1M tokens depending on the model. Per-key spend caps and team budgets are available for cost control.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents. | [.md](https://openaitools.app/tool/openai.md) |
| 2 | [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) |
| 3 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | One API for 1,500+ production-ready generative media models | [.md](https://openaitools.app/tool/fal-ai.md) |
| 4 | [Kie.ai](https://openaitools.app/tool/kie-ai-affordable-secure-deepseek-r1-api) | 2,275,553 | -22.4% | Pay-as-you-go | One API key for video, image, music, and chat models | [.md](https://openaitools.app/tool/kie-ai-affordable-secure-deepseek-r1-api.md) |
| 5 | [CometAPI](https://openaitools.app/tool/cometapi) | 602,966 | +49.7% | Pay-as-you-go (credits) | One OpenAI-compatible API key for 500+ AI models | [.md](https://openaitools.app/tool/cometapi.md) |
| 6 | [MuAPI](https://openaitools.app/tool/muapi) | 412,788 | +13.7% | Freemium | One API for every generative image, video and audio model | [.md](https://openaitools.app/tool/muapi.md) |
| 7 | [Flaq AI](https://openaitools.app/tool/flaq-ai-api-platform) | 328,715 | +127.9% | Paid | One API key for the world's leading image, video and language models | [.md](https://openaitools.app/tool/flaq-ai-api-platform.md) |
| 8 | [EvoLink AI Model API](https://openaitools.app/tool/evolink-ai-model-api) | 312,573 | -27% | Free Trial, Paid, Contact for Pricing | One API for LLM, image, video, and audio models in production | [.md](https://openaitools.app/tool/evolink-ai-model-api.md) |
| 9 | [OfoxAI](https://openaitools.app/tool/ofoxai) | 239,718 | +12.7% | — | One API key, 100+ LLMs, official pricing with no platform markup | [.md](https://openaitools.app/tool/ofoxai.md) |
| 10 | [GPTProto](https://openaitools.app/tool/gptproto) | 148,457 | +15.4% | Pay-as-you-go | One API key, one balance, 200+ text, image, video and audio models | [.md](https://openaitools.app/tool/gptproto.md) |

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Source: https://openaitools.app/compare/onapi-vs-reapi

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