
专项更强Delivers native access to OpenAI's frontier language models and real-time APIs, but without multi-provider model aggregation.

Itzam is an open-source backend for AI applications that unifies model access, prompt management, retrieval context and spend tracking behind a single SDK and dashboard. Instead of stitching together separate providers for RAG, observability and billing, teams connect their documents and prompts once and switch models without rewriting integration code.
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | aimlapi.com | itz.am |
| 定价模式 | Pay-as-you-go credits (free to start); enterprise custom pricing on request | 免费增值 |
| 月访问量 | 23.29万 (232,946) | 0 (0) |
| 月度环比流量变化 | -5.87万 (-20.1%) | 0 (0%) |
| 主要市场与份额 | 🇺🇸 美国 (14.4%) | 🌐 全球 (—) |
| 直接访问 / 月 | 6.42万 | 0 |
| 用户评分 | 4.3 | 4.4 |
| 支持的平台 | 网站 | 网站 |

一个通用 API,接入 500+ AI 模型与 1,000+ 智能体工具
用一把 API Key 和一套 SDK 即可调用来自 70+ 厂商的对话、代码、图像、视频、音频、音乐、嵌入、OCR 与 3D 模型。
把已有的 OpenAI、Anthropic 或 Gemini SDK 代码指向本平台,只需改模型名而不必重做集成。
自动判断任务难度,简单任务走低价模型,困难任务升级到更强模型。
让智能体接入 Google 搜索、YouTube 字幕、X/Twitter、Reddit、LinkedIn 招聘与 SEO/营销数据。

Itzam is an open-source backend for AI applications that unifies model access, prompt management, retrieval context and spend tracking behind a single SDK and dashboard. Instead of stitching together separate providers for RAG, observability and billing, teams connect their documents and prompts once and switch models without rewriting integration code.
Store documents and knowledge as named 'context slugs' that the platform indexes and retrieves, so RAG pipelines no longer need custom vector-store plumbing.
Change the active model or system prompt instantly from the dashboard; the live slug keeps working so you can test new models without a deploy.
Built-in request logs show status, model, input, per-call cost and latency for every generation, making debugging and load testing straightforward.
Aggregate spend across OpenAI, Anthropic and Google in one view, broken down by provider, model, requests and tokens.

专项更强Delivers native access to OpenAI's frontier language models and real-time APIs, but without multi-provider model aggregation.

专项更强Provides direct developer access to Google's native Gemini models, but lacks the multi-vendor model aggregation of Target.
专项更强Provides direct developer access to Google's native Gemini models, but lacks the multi-vendor model aggregation of Target.

专项更强专门针对生成式媒体模型提供高速无服务器推论,对大型语言模型聚合的关注较少。

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
OrcaRouter is an OpenAI-compatible AI gateway that grades every prompt and routes it to the best-value model, then layers on failover, guardrails, an agent firewall, and compliance tooling for production AI.
OrcaRouter is an OpenAI-compatible AI gateway that grades every prompt and routes it to the best-value model, then layers on failover, guardrails, an agent firewall, and compliance tooling for production AI.
通过 API 托管和运行数千个开源机器学习模型,但采用稍微不同的定价与托管架构。
Provides a unified inference platform for image, video, audio, and language models via a single OpenAI-compatible API.
Provides a unified inference platform for image, video, audio, and language models via a single OpenAI-compatible API.

Consolidates hundreds of large AI models under a single OpenAI-compatible endpoint, offering competitive multi-model routing and billing.
Consolidates hundreds of large AI models under a single OpenAI-compatible endpoint, offering competitive multi-model routing and billing.