About This Site
Cloud API to run, fine-tune, and deploy open-source machine learning models. Replicate is a cloud API platform that allows users to run open-source machine learning models. It enables users to run and fine-tune models, and deploy custom models at scale with a single line of code. Replicate hosts thousands of models contributed by the community, offering production-ready APIs for various AI tasks such as image generation, video generation, image restoration, captioning, speech generation, music generation, and text generation.
Alternatives
Modelflare
Modelflare is a stable, lower-cost API gateway for GPT, Claude, Grok, GLM, Seedance, MiniMax, and other models, with routes as low as 1.5% of the official price. The same account opens Castaly, a studio for generating images and video, comparing models and prices, and remixing community work.
Modelflare is one API gateway for apps, agents, and coding tools. Keep the client you already use, point it at https://modelflare.dev/v1, and call many model families with the same key.
Lower price. Selected routes bill down to 1.5% of the official list price. A single top-up of US$20 unlocks GPT at that 0.015x rate.
Everyday traffic can stay on a lower-cost group; more sensitive jobs can use a balanced or higher-stability group. The pricing page shows what you pay against the official list price. Balance is in US dollars: one dollar of top-up is one dollar of credit. Castaly uses that same balance.
A key can list fallback groups in order. If the primary group is unavailable, the request moves to the next group. Each request records status, latency, token usage, and cost, whether it came from your own code or from Castaly.
Many models, one account. GPT uses OpenAI Chat Completions and the Responses API, including Codex-style clients. Claude uses Anthropic Messages, including Claude Code. Grok, GLM, Seedance, and MiniMax are on the same key, along with DeepSeek, Kimi, Owen, Gemini, and image and video models.
Castaly (https://castaly.modelflare.dev) is the studio on that account.
In the browser you generate images and video with Seedance, Kling, Wan, MiniMax, Seedream, and other models from the same catalog. You compare specifications and price, set the shot parameters, and remix a community work from its prompt and settings. Account, balance, API keys, and usage history are shared with Modelflare, so a result made in Castaly can also be requested through the API.
Create a key at https://modelflare.dev, set the base URL to https://modelflare.dev/v1, or start a shot in Castaly.
ApiModels
APIMODELS is a unified AI model API that puts 100+ image, video, music, speech and LLM models behind one endpoint, one API key and one balance. Instead of opening an account with OpenAI, Google, Anthropic, ByteDance, Suno, ElevenLabs, MiniMax, xAI, DeepSeek, Alibaba and Zhipu separately — each with its own SDK, billing and approval process — you sign up once and switch models by changing a single string. Flagship image models, priced per image with no token math: • Nano Banana Pro (gemini-3-pro-image-preview) — $0.06 at 1K and 2K, $0.12 at 4K. Google lists the same model at $0.134 and $0.24, so that is 55% and 50% below list. Our $0.06 is also lower than Google's own Batch API price of $0.067 — and Batch makes you queue, while we return in real time. • Nano Banana 2 (gemini-3.1-flash-image-preview) — $0.05 at 1K and 2K, $0.08 at 4K, against Google's $0.067 / $0.101 / $0.151. That is 25% off at 1K, 50% off at 2K and 47% off at 4K. • GPT Image 2 (gpt-image-2) — a flat $0.025 per 1K image, $0.04 at 2K, $0.06 at 4K, with up to 16 reference images for multi-image editing. OpenAI bills this model by token; we bill a fixed price per image, and no OpenAI organization verification is required. The API is OpenAI-compatible, so existing SDKs, Cursor, Codex and LangChain code work by pointing base_url at apimodels.app. Billing is strictly pay-as-you-go with per-call prices published on every model page, starting at $0.001; there is no subscription, no monthly minimum and no expiring credits, and failed generations are never charged. New accounts get $0.10 of free credit with no card required.
One API key for 100+ AI models — image, video, music, speech and LLM. Nano Banana Pro at $0.06/image, 55% below Google's list price. Pay-as-you-go, no subscription.
APIMaster
GPT up to 95% off + $20 trial. Fingerprint-verified APIs. Low-cost and stable.
What is APIMaster?
APIMaster does one thing: find and verify the world's cheapest authentic AI API providers. We fingerprint-test every provider weekly to confirm you're getting the real model — not a fake or substituted one. Then we aggregate only the verified providers, so you get up to 90% off official OpenAI, Claude, and DeepSeek pricing without the risk. A trusted alternative to OpenRouter, Together AI, and other API aggregators — with one key difference: every provider is verified.
How to use APIMaster?
1. Sign up at apimaster.ai.
2. Top up your balance and create an API key — APIMaster automatically routes your requests to the cheapest verified provider.
3. Swap your base_url. One-line change — compatible with Cursor, Claude Code, Codex, LiteLLM, LangChain, and any OpenAI SDK.
APIMaster's Core Features:
✓ Fingerprint verification — weekly model authenticity testing on every provider
✓ Global cheapest providers aggregated — up to 90% off official list prices
✓ One API key for all models: GPT, Claude, DeepSeek, Gemini
✓ OpenAI-compatible — zero code changes needed
✓ Public detection results — full transparency on provider scores
✓ Pay-as-you-go from $1, supports PayPal, USDT, ePay
Key Features AI
Core Features
Run open-source machine learning models via API
Fine-tune models with custom data
Deploy custom models at scale
Automatic scaling of resources
Access to thousands of community-contributed models
Advantages
Easy to use API for running ML models
Large selection of pre-trained models
Scalable infrastructure
Pay-as-you-go pricing
Support for custom model deployment
缺点：Cost can be unpredictable depending on usage
缺点：Reliance on community-contributed models for some tasks
缺点：Requires some technical knowledge to deploy custom models
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