ModelsLab VS OminiGate
ModelsLab VS OminiGate 对比，ModelsLab 和 OminiGate 有什麼區別？
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總結
ModelsLab 總結
Stable Diffusion & Dreambooth API An API so you can focus on building next-generation AI products and not maintaining GPUs.
ModelsLab 著陸頁
OminiGate 總結
OminiGate 著陸頁
比較詳情
ModelsLab 詳細信息
| 類別 | AI API, AI 圖像生成器, 文字生成圖片, AI模型, AI 語音克隆, AI聊天機器人, 大型語言模型 LLMs, 文字生成3D, AI 開發者工具, AI室內設計, AI 影片生成, 圖像轉圖像, AI時尚 |
| ModelsLab 網站 | https://stablediffusionapi.com?utm_source=toolify |
| 添加時間 | 2023年6月10日 |
| ModelsLab 定價 | BASIC , STANDARD , PREMIUM |
OminiGate 詳細信息
| 類別 | AI API, AI 圖像生成器, AI 開發者工具, AI 影片生成, AI模型, 大型語言模型 LLMs |
| OminiGate 網站 | https://ominigate.ai?utm_source=toolify |
| 添加時間 | 2026年5月21日 |
| OminiGate 定價 | -- |
使用對比
如何使用ModelsLab？
Explore the API catalogue, select the desired API (e.g., Text to Image, Voice Cloning), review the documentation, and integrate the API into your application using the provided API keys.
如何使用OminiGate？
Sign up at ominigate.ai with your email or google account, grab your API key from the dashboard, and top up your prepaid balance via Stripe. Point the OpenAI or Anthropic SDK at OminiGate's base URL to call chat models, and use the same key for OminiGate's dedicated image and video endpoints — one account, one balance, every modality.
比較 ModelsLab 和 OminiGate 的優點
ModelsLab 的核心功能
- Text to Image API
- Uncensored Chat API
- Image Editing API
- Model Training API
- Voice Cloning API
- Text to Video API
- Interior Design API
- Text to 3D API
OminiGate 的核心功能
- One key, one prepaid balance, every modality — call text, image and video models with the same `sk-omg-` key, funded from a single wallet. No separate accounts, no separate invoices.
- OpenAI- and Anthropic-compatible chat APIs — drop-in support for the OpenAI Chat Completions SDK and the Anthropic Messages SDK. Only the base URL changes.
- Dedicated image and video generation endpoints — purpose-built routes for image and video models, while still keyed and billed through the same account.
- 460+ models across mainstream AI providers — 300+ chat models (OpenAI, Anthropic, Google, xAI, DeepSeek, Moonshot, MiniMax, Qwen, Z.AI, Mistral, NVIDIA…), 80+ image models (Black Forest Labs, OpenAI, ByteDance, Recraft…), 80+ video models (Google, ByteDance, Kling, Pixverse…).
- Multi-provider failover — redundant upstream routes per model with a 99.9% uptime guarantee; degraded providers are bypassed automatically.
- Transparent pay-per-token pricing — published per-token (and per-image, per-second) rates. No subscriptions, no minimums.
- Zero data retention — prompts and completions are never persisted.
- Unified usage dashboard — real-time tracking of spend, requests, and tokens across every model and modality on one screen.
比較用例
ModelsLab 的用例
- Generate images from text
- Create uncensored chatbots
- Edit images using AI
- Clone voices in multiple languages
- Design interiors using AI
- Train custom AI models
OminiGate 的用例
- Agents that pick the right model per task — route deep reasoning to Claude Opus, latency-critical calls to GPT-mini, long context to Gemini, low-cost calls to DeepSeek — all through one SDK and one balance.
- Marketing and product visual pipelines — call Flux 2 Pro, GPT Image 2, and Seedream for hero shots, product mocks, and creative variations — same key as your chat calls.
- AI video generation pipelines — Veo 3.1 for cinematic motion, Seedance 1.5 Pro for human performance, Kling v2.6 for long-shot continuity — composable from one balance.
- Drop-in OpenAI / Anthropic replacement — keep your existing OpenAI or Anthropic SDK code, change the base URL, and unlock cross-provider model choice plus image and video without re-architecting.
- Vendor-risk mitigation for production — escape single-vendor lock-in; when one provider rate-limits or has an outage, traffic falls back automatically to a redundant upstream.
- Multi-tenant SaaS and AI products — one integration, one billing relationship, one auditable usage stream across every model your product exposes to end users.
- Side-by-side model comparison — A/B test the same prompt across GPT, Claude, Gemini and others without provisioning multiple billing accounts or rewriting SDK calls.
ModelsLab 和 OminiGate 之間的計劃不同
ModelsLab
$27 per month
For hobbyists. Upto 13000 Image Generations.
$47 per month
For individuals & teams exploring AI APIs. Upto 40000 Image Generations.
$147 per month
For beta launching your apps. Unlimited API calls.
$1 Per Model
Model Training Price. You can train stable diffusion on custom dataset to generate avatars.
OminiGate
OminiGate Pricing Link: https://ominigate.ai/models
比較定價
ModelsLab 定價
$9 per month
999 Image Generations 🦋 No Controlnet APIs 🥺 Best for personal or freelance 🤓 Average generation time 4s ✈️ 5 Req/s Limit 🛫
$49 per month
9999 Image Generations 🙀 Access All APIs 😍 Best for personal or freelance ✔️ Average generation time 4s ✈️ 10 Req/s Limit 💥
$149 per month
Unlimited - All AI APIs 🤯 Unlimited Image Generation 🔥 Best for high traffic apps 🚀 Average generation time 2s 💥 15 Req/s Limit 😍
OminiGate 定價
對不起，沒有數據
ModelsLab 的流量
ModelsLab 是月访问量為 57.4K 且平均訪問時長為 00:00:25 的工具。 ModelsLab 的每次訪問頁數為 1.74，跳出率為 40.89%。
最新網站流量
| 月訪問量 | 57.4K |
| 平均訪問時長 | 00:00:25 |
| 每次訪問頁數 | 1.74 |
| 跳出率 | 40.89% |
OminiGate 的流量
OminiGate 是月访问量為 1.5K 且平均訪問時長為 00:00:00 的工具。 OminiGate 的每次訪問頁數為 1.06，跳出率為 36.81%。
最新網站流量
| 月訪問量 | 1.5K |
| 平均訪問時長 | 00:00:00 |
| 每次訪問頁數 | 1.06 |
| 跳出率 | 36.81% |
地理流量
The top 5 countries/regions for ModelsLab are:United States 11.88%, Vietnam 5.78%, Russia 4.73%, India 4.72%, Germany 4.45%
Top 5 Countries/regions
 | 11.88% |
 | 5.78% |
 | 4.73% |
 | 4.72% |
 | 4.45% |
地理流量
The top 3 countries/regions for OminiGate are:United States 56.93%, India 39.33%, Indonesia 3.75%
Top 3 Countries/regions
| 56.93% |
| 39.33% |
 | 3.75% |
網站流量來源
ModelsLab 的 6 個主要流量來源是：vs_sourcesSearchOrganic 64.23%, 直接 18.01%, 引薦 13.41%, vs_sourcesGenAi 2.34%, vs_sourcesSocialOrganic 1.20%, vs_sourcesSocialPaid 0.82%, 郵件 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%
vs_sourcesSearchOrganic | 64.23% |
直接 | 18.01% |
引薦 | 13.41% |
vs_sourcesGenAi | 2.34% |
vs_sourcesSocialOrganic | 1.20% |
vs_sourcesSocialPaid | 0.82% |
郵件 | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
網站流量來源
OminiGate 的 6 個主要流量來源是：郵件 0, vs_sourcesGenAi 0, 直接 0, vs_sourcesAffiliate 0, 引薦 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
郵件 | 0 |
vs_sourcesGenAi | 0 |
直接 | 0 |
vs_sourcesAffiliate | 0 |
引薦 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
ModelsLab 或 OminiGate哪個更好？
ModelsLab 可能比 OminiGate 更受歡迎。如您所見，ModelsLab 每月有 57.4K 次訪問，而 OminiGate 每月有 1.5K 次訪問。 所以更多的人選擇ModelsLab。 因此，人們很可能會在社交平台上更多地推薦 ModelsLab。
ModelsLab 的平均訪問持續時間為 00:00:25，而 OminiGate 的平均訪問持續時間為 00:00:00。 此外，ModelsLab 的每次訪問頁面為 1.74，跳出率為 40.89%。 OminiGate 的每次訪問頁面為 1.06，跳出率為 36.81%。
ModelsLab 的主要用戶是United States, Vietnam, Russia, India, Germany，分佈如下：11.88%, 5.78%, 4.73%, 4.72%, 4.45%。
OminiGate 的主要用戶是 United States, India, Indonesia，分佈如下：56.93%, 39.33%, 3.75%。
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