Tip Of AI
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If you've built anything with AI models recently, you know the pain: every provider has its own API, its own key, its own billing dashboard, and its own quirks. GPT needs one SDK, Claude another, Gemini a third and if you also want image, video, or music generation, add five more accounts to the pile.
That's the problem an entire category of tools now exists to solve: AI API aggregators and gateways. They sit between your app and the underlying AI providers, giving you one API key, one bill, and often lower prices thanks to bulk purchasing. Some focus purely on cost and model variety, others focus on observability and governance, and a few specialize in image/video/audio generation instead of text.
Here's a breakdown of the major players, grouped by what they actually do:
These platforms give you access to hundreds of LLMs (and often image, video, and audio models too) through a single, usually OpenAI-compatible, endpoint.
CometAPI - One of the largest catalogs around, with 500+ models spanning GPT, Claude, Gemini, Midjourney, and Suno. It's OpenAI-compatible, includes a built-in playground for benchmarking prompts across models, and advertises 20–40% savings over paying providers directly.
OpenRouter - Probably the best-known name in this space. It routes requests across hundreds of LLMs, publishes transparent per-model pricing, and has a large community that shares usage stats and model rankings. A great starting point if you're new to aggregators.
AI/ML API - Similar positioning to CometAPI and OpenRouter: one key, hundreds of models, OpenAI-compatible requests, aimed squarely at developers who want to swap models without rewriting integration code.
AIHubMix - A China-based aggregator offering unified access to Western and Chinese model families (GPT, Claude, Gemini, Qwen, DeepSeek, and more) through one API, popular with teams that want broad model coverage at competitive rates.
DeepInfra - Focuses on serving open-source models (Llama, Mixtral, Qwen, and others) at low per-token cost, with simple pay-as-you-go pricing and no subscription commitment.
Together AI - Part aggregator, part infrastructure provider. Together runs its own optimized inference clusters for open-source models while also offering broader API access, making it a good fit if you eventually want fine-tuning or dedicated capacity.
Fireworks AI - Similar hybrid model to Together: hosts open-source and some proprietary models on its own fast inference stack, with a strong focus on low latency for production workloads.
Novita AI - Covers LLMs alongside image and video generation models, positioning itself as a lower-cost alternative to going directly through individual providers.
Requesty - A lesser-known but capable LLM router/gateway, aimed at developers who want request routing and failover across multiple model providers.
Apertis - A newer unified gateway offering 400+ models across 30+ providers, with smart routing, automatic failover, and free prompt caching baked in - pitched partly as infrastructure for coding agents.
Eden AI - Takes aggregation a step further by normalizing not just LLMs but also computer vision, OCR, and other AI categories under one API, which is useful if your product needs more than just chat/text generation.
ForAI.ai - Often provides "consumer-friendly" wrappers for backend API calls, simplifying access for non-deep-tech developers.
OfoxAI - A newcomer providing simplified billing and router access to mainstream LLMs.
AnyAPI - A rising aggregator that provides access to 300+ AI models using a familiar OpenAI standardized format.
PoYo.ai - Offers a hybrid approach, combining API access with integrated prompt engineering tools.
Concentrate AI - Specializes in prompt optimization and testing before the request even hits the model, ensuring you aren't wasting tokens on bad prompts.
APIFree - Exactly what it sounds like; offers free tiers or credits for developers to bootstrap their initial AI integrations without upfront costs.
APIMaster AI - is slightly different - it's primarily an API-key tester and discounted-token marketplace rather than a full routing gateway.
If your use case is generative media rather than chat, these are more relevant than the general LLM aggregators above.
Fal.ai - Widely used for fast image and video generation inference, popular for its speed and its library of ready-to-call diffusion and video models.
Runware - A rapidly growing media API aggregator covering image, video, audio, 3D, and text models through one API. It offers a large catalog of models including newer image and video models, with pay-as-you-go pricing and a strong focus on fast inference.
Wavespeed AI - A media-generation platform offering 1,000+ image, video, audio, and 3D models (FLUX, Kling, Veo, Seedance, and more) through one API, with a strong focus on low-latency inference and an optional desktop app.
Kie.ai - Another unified media API, covering video, image, audio, and some LLMs (Veo, Kling, Suno, Nano Banana, GPT models), often priced 30–70% below official rates, with async task handling and webhook callbacks.
Krea - A creative AI platform and model aggregator covering image and video generation, editing, enhancement, and workflows. It provides access to models such as Nano Banana, FLUX, Seedream, Veo, Kling, Sora, Wan, and Seedance through a unified platform and API.
OpenArt - An all-in-one AI creative platform covering image, video, audio, editing, characters, and creative workflows. It aggregates many of the leading image and video models behind a consumer-friendly interface and subscription.
Higgsfield - A video-focused AI creative platform that aggregates many leading image and video models, including models for cinematic generation, image-to-video, characters, camera control, and social-media content.
Freepik AI - Combines AI image and video generation with Freepik's large stock-media ecosystem. It provides access to multiple third-party generation models alongside traditional stock assets and creative tools.
Artlist AI - Combines AI image, video, voice, and music generation with Artlist's licensed music, sound-effects, and stock-media library, making it particularly useful for commercial video creator
Replicate - More of a model-hosting platform than a pure aggregator; it lets you run a huge range of open-source models (and some proprietary ones) via API, and is especially popular for experimenting with newly released open models.
These tools care less about giving you more models and more about giving you control logging, caching, spend limits, and routing logic - often sitting in front of the providers you already use.
Portkey - An AI gateway built for production: request logging, caching, retries/fallbacks, and budget controls across whichever providers you connect. Popular with teams that need governance more than raw model variety.
Helicone - Primarily an observability layer for LLM calls logging, cost tracking, and debugging that can also proxy requests, making it easy to bolt onto an existing OpenAI/Anthropic integration.
Cloudflare AI Gateway - Cloudflare's take on the same idea: caching, rate limiting, analytics, and fallback logic for AI API calls, running on Cloudflare's edge network.
LiteLLM - An open-source proxy/SDK (rather than a hosted platform) that lets you call 100+ LLM APIs using the OpenAI format, and self-host your own routing layer if you don't want to depend on a third-party gateway.
These aren't traditional "cheap aggregators", but they provide unified access to large catalogs of foundation models and are particularly relevant for enterprise applications.
AWS Bedrock - Provides a unified API, billing, security, and governance layer for foundation models from AWS and multiple third-party providers. Particularly attractive for applications already running on AWS.
Gemini Enterprise Agent Platform (formerly Vertex AI) - Google's enterprise AI platform, providing access to Gemini as well as a broad catalog of third-party and open models through Google Cloud infrastructure.
Microsoft Azure AI Foundry - Microsoft's enterprise AI platform providing access to models from Microsoft, OpenAI, and numerous third-party providers, with strong Azure integration and enterprise governance.
If your priority is maximum access to open/community models rather than a single hosted API, these platforms are also important.
Hugging Face - The largest ecosystem for open AI models, hosting LLMs, image, video, audio, multimodal models, LoRAs, datasets, and inference services. It is more of a model ecosystem than a traditional aggregator.
Civitai - A major community platform for discovering and sharing generative AI models, checkpoints, LoRAs, and workflows, particularly strong in image-generation models and community-created content.
ComfyUI - An open-source node-based workflow engine for generative AI. It can run many different image, video, and audio models and allows users to build complex generation pipelines instead of relying on a single centralized model provider.
RunningHub - A cloud-based ComfyUI ecosystem that lets users run community workflows and open models without maintaining their own GPU infrastructure.
Sometimes the right answer is simply not to aggregate. If you only need one or two providers, or you need the newest features the moment they ship, calling the official APIs directly is often better:
Aggregators add a small amount of latency and (for the newest model releases) sometimes a lag before support is added, since they have to integrate each new model themselves.
A few questions to ask before choosing:
There's no single "best" tool here - it depends on whether you're optimizing for catalog size, cost, latency, capabilities, or control. For most developers just starting out, OpenRouter or CometAPI are the easiest entry points for LLMs, while Runware or Fal.ai are strong starting points for generative media. As your usage scales into production, it's worth layering in a gateway like Portkey or Helicone for visibility into what you're actually spending and calling.