# AI/ML API vs Crazyrouter

AI/ML API records 232,946 monthly visits with -20.1% month-over-month growth and Pay-as-you-go credits (free to start); enterprise custom pricing on request pricing. Crazyrouter records 77,144 monthly visits with +1.8% growth and Paid pricing.

| Metric | [AI/ML API](https://openaitools.app/tool/ai-ml-api) | [Crazyrouter](https://openaitools.app/tool/crazyrouter) |
| :--- | :--- | :--- |
| Website URL | https://www.aimlapi.com | https://crazyrouter.com/register |
| Categories | AI API, AI Models, AI Developer Tools | AI API |
| Pricing Model | Pay-as-you-go credits (free to start); enterprise custom pricing on request | Paid |
| Monthly Visits | 232,946 | 77,144 |
| MoM Growth Rate | -20.1% | +1.8% |
| Primary Market | United States | China |
| Direct Visits | 64,194 | 28,229 |
| Review Score | 4.3 | 3.9 |
| Saved Count | 3 | 1 |
| Supported Platforms | Website | Website |

## AI/ML API

AI/ML API is a developer-first aggregation layer for generative AI. Instead of signing up with each model vendor separately, you get a single universal endpoint plus an OpenAI-compatible SDK, so existing code that points at OPENAI_API_KEY, ANTHROPIC_API_KEY or GEMINI_API_KEY can be redirected to a single AIML_API_KEY and switch between models without rewriting integrations. The catalogue spans chat and reasoning models, code models, image and video generators, text-to-speech and music models, embeddings, OCR, moderation and image-to-3D pipelines.

Beyond raw models, the platform ships an MCP tool surface with 1,000+ connectors covering web search, YouTube transcripts, X/Twitter scraping, LinkedIn jobs, Reddit research and marketing/SEO data, which lets agent builders combine model reasoning with live external data. A routing layer called Jev Router automatically sends simple tasks to cheap, fast models and reserves frontier models for hard work, with the vendor claiming automatic cost reductions of up to 50%. Usage is metered per token, image, second of video or second of audio, with the company stating no markup over going direct to the provider.

The service targets startups and production engineering teams as well as enterprises. Self-serve accounts top up from a small minimum balance and pay for exactly what they consume, while larger organisations can request custom pricing, dedicated servers, private model deployments and higher rate limits with a dedicated account manager. Privacy documentation states that customer inputs are not used to train or fine-tune models.

**Pricing & Plans:** Pay-as-you-go with credits you can top up from around $20, billed per token, image, video second or audio second with a stated 0% markup over provider list prices. An enterprise tier with custom pricing, dedicated servers, private models and unlimited rate limits is available on request.

- **Unified multi-provider endpoint:** Call chat, code, image, video, audio, music, embedding, OCR and 3D models from 70+ providers through one API key and one SDK.
- **OpenAI-compatible integration:** Point existing OpenAI, Anthropic or Gemini SDK code at AI/ML API and swap models by changing the model string rather than the integration.
- **Jev Router cost optimisation:** An automatic router grades task difficulty and sends easy work to cheap models while escalating hard work to stronger ones.
- **1,000+ MCP agent tools:** Give agents live access to Google search, YouTube transcripts, X/Twitter, Reddit, LinkedIn jobs and SEO/marketing data sources.
- **Single consolidated bill:** Model calls and agent tools are metered from one balance with per-category usage receipts for tokens, images, video and audio.

**Strengths:** Very broad model catalogue behind one credential and one invoice; Drops into existing OpenAI-style code with minimal changes; MCP tool library adds research and data capabilities beyond raw models; Stated zero markup makes price comparison against direct providers straightforward

**Limitations:** You depend on a third party in the request path, so platform incidents affect all providers at once; Cost predictability requires active monitoring of per-token and per-second metering; Some cutting-edge model availability can lag the direct provider release

[Profile (Markdown)](https://openaitools.app/tool/ai-ml-api.md)

## Crazyrouter

Crazyrouter positions itself as a unified access layer for AI models. Rather than holding accounts with a dozen providers, you create one API key in the console and route chat, image and video requests through a single endpoint. The platform is explicitly compatible with the OpenAI, Anthropic and Gemini request formats, which means the migration path is usually a one-line change: point your SDK's base_url at Crazyrouter, swap in the key, and start calling. Existing code structure stays intact, and teams can move to the gateway first and then shift individual model choices over gradually.

The advertised catalogue spans mainstream frontier models alongside Chinese and video-generation models — Claude, GPT, Gemini, DeepSeek, Qwen, Kimi, MiniMax, Kling and Sora are among the names it highlights. Pricing is published per model and sorted by input cost, and the site says its rates run below official list pricing thanks to public discounts layered on pay-as-you-go billing. Because billing is metered, costs track real usage rather than fixed seat fees.

On the infrastructure side, Crazyrouter markets multi-node smart scheduling that picks a faster path per request, redundant links and failover designed to absorb a single point of failure, and centralised quotas so calls, prices and limits are visible in one place. It also publishes developer documentation and a model pricing view. Two caveats matter: the platform openly states it is an independent third party with no official authorisation, sponsorship or endorsement from the brands whose models it resells, and that brand names appear only to identify compatible models.

**Pricing & Plans:** Pay-as-you-go / metered billing with no subscription mentioned. Publicly listed per-model rates sorted by input price, described as below official pricing due to standing discounts. Supports Chinese yuan payment, invoicing, and one balance that covers chat, image and video models. Credits are consumed according to the model selected and usage volume.

- **One key, many models:** Create a single API key and call hundreds of text, image and video models without managing separate accounts at each provider.
- **OpenAI/Anthropic/Gemini compatible endpoints:** Requests follow the common formats, so existing SDKs and CLI tools (including Claude Code and Codex CLI) work after changing only the base URL.
- **Published per-model pricing:** A pricing view lists popular models sorted by input cost and links straight to a filtered price page, making cost comparison straightforward.
- **Smart multi-node routing:** Multiple nodes schedule requests dynamically to reduce wait time, with redundant links and failover to limit the impact of any single outage.
- **Centralised quotas and billing:** Calls, prices and limits are managed in one console, with pay-as-you-go metering, CNY payment and invoice support.

**Strengths:** A single key and base URL replace juggling accounts across many providers; Request formats match OpenAI, Anthropic and Gemini conventions, so switching is usually a one-line change; Per-model pricing is published and sortable, which makes cost comparison easy; Supports CNY payment and invoicing, useful for teams that need local procurement

**Limitations:** It is an unofficial third-party reseller, so you depend on an intermediary rather than a provider's own account and SLA; The site's advertised model count is inconsistent (300+ and 600+ both appear), so verify specific models before relying on them; As an aggregator, availability and exact pricing for any model can change without the notice you'd get directly from a vendor

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

## Frequently Asked Questions

### How do AI/ML API and Crazyrouter compare in monthly traffic?

AI/ML API has 232,946 monthly visits, while Crazyrouter has 77,144. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AI/ML API has a month-over-month growth rate of -20.1%; Crazyrouter has +1.8%.

### How does pricing compare?

AI/ML API: Pay-as-you-go credits (free to start); enterprise custom pricing on request. Pay-as-you-go with credits you can top up from around $20, billed per token, image, video second or audio second with a stated 0% markup over provider list prices. An enterprise tier with custom pricing, dedicated servers, private models and unlimited rate limits is available on request. Crazyrouter: Paid. Pay-as-you-go / metered billing with no subscription mentioned. Publicly listed per-model rates sorted by input price, described as below official pricing due to standing discounts. Supports Chinese yuan payment, invoicing, and one balance that covers chat, image and video models. Credits are consumed according to the model selected and usage volume.

## 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 | Delivers native access to OpenAI's frontier language models and real-time APIs, but without multi-provider model aggregation. | [.md](https://openaitools.app/tool/openai.md) |
| 2 | [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | +2% | Freemium | Provides direct developer access to Google's native Gemini models, but lacks the multi-vendor model aggregation of Target. | [.md](https://openaitools.app/tool/google-ai-studio.md) |
| 3 | [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) |
| 4 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Specializes in high-speed serverless inference specifically for generative media models, with less focus on large language model aggregation. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 5 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Offers serverless inference and dedicated GPU clusters for open-source models, but with less emphasis on third-party commercial model aggregation. | [.md](https://openaitools.app/tool/together-ai.md) |
| 6 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Hosts and runs thousands of open-source machine learning models via API, but operates on a slightly different pricing and hosting structure. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 7 | [Atlas Cloud](https://openaitools.app/tool/atlas-cloud) | 777,031 | -16.4% | Paid | Provides a unified inference platform for image, video, audio, and language models via a single OpenAI-compatible API. | [.md](https://openaitools.app/tool/atlas-cloud.md) |
| 8 | [CometAPI](https://openaitools.app/tool/cometapi) | 602,966 | +49.7% | Pay-as-you-go (credits) | Consolidates hundreds of large AI models under a single OpenAI-compatible endpoint, offering competitive multi-model routing and billing. | [.md](https://openaitools.app/tool/cometapi.md) |
| 9 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Delivers exceptionally low-cost serverless inference for open-weight models, though with a more streamlined selection of developer APIs. | [.md](https://openaitools.app/tool/deep-infra.md) |
| 10 | [Runware](https://openaitools.app/tool/runware) | 402,862 | +27.1% | Paid | Offers high-throughput, low-latency API access to hundreds of thousands of open and commercial models with developer-first pricing. | [.md](https://openaitools.app/tool/runware.md) |

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Source: https://openaitools.app/compare/ai-ml-api-vs-crazyrouter

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