Unified API Interface
Aiberm presents one consistent interface for multiple AI providers, with support for OpenAI, Claude, and Gemini formats so existing integrations can switch models with fewer code changes.
Aiberm
Aiberm is a unified AI API platform for developers that provides access to many AI models through one endpoint. It supports OpenAI-compatible integration, pay-as-you-go billing, and published pricing across a large model catalog.
Overview
Aiberm is a unified AI API platform for developers that aggregates multiple model providers behind one endpoint. The site says it supports 30+ AI models on the marketing pages and 113 available models on the pricing page, with OpenAI, Anthropic, Gemini, Moonshot, Zhipu AI, Qwen, DeepSeek, MiniMax, Spark Desk, and xAI represented in the catalog.
The product is built for developers who want to call AI models through the same API format instead of wiring each provider separately. The documentation shows an OpenAI-compatible workflow using `https://aiberm.com/v1`, and the platform also supports direct HTTP requests, streaming, and batch processing.
Aiberm’s public positioning emphasizes discounted pricing, pay-as-you-go billing, and production use. The home page highlights a 99.9% uptime SLA and automatic failover, while the pricing page shows model-by-model token pricing in USD and discount percentages for many models.
The about page says the service is operated by Geddle, Inc. and describes support for text generation, image generation, code generation, and multi-model access through a unified gateway.
Core Features
Discounted Usage-Based Pricing
The platform advertises discounted pricing across its model catalog and a pay-as-you-go billing approach rather than subscriptions.
OpenAI-Compatible Integration
The docs show two integration paths: the OpenAI SDK with a changed base URL, or direct HTTP requests against the API endpoint.
Streaming and Batch Processing
Documentation mentions streaming and batch processing, and the quickstart points users to the detailed Chat Completions API guide for advanced usage.
Production-Oriented Reliability
The site states a 99.9% uptime SLA and automatic failover, positioning the service for production workloads.
Use Cases
Build with one integration
Use Aiberm when you want to prototype or ship an app that can call different AI models through one endpoint, instead of maintaining provider-specific code for each vendor.
Extend an OpenAI-style codebase
Use the platform when an existing OpenAI SDK-based project needs access to other model families without rewriting the whole client stack; the docs show changing only the base URL.
Route requests across models
Choose it for workloads that benefit from model choice by task, such as routing coding, chat, or generation requests to different providers available in the catalog.
Support live and batch workflows
Use the documented streaming and batch support for applications that need incremental responses or higher-throughput request handling.
Run production AI workloads
Adopt it for production services that need a published uptime target and automatic failover rather than a single-provider setup.
Pros and Cons
Pros
- Single API surface for multiple major AI providers.
- OpenAI SDK compatibility makes integration straightforward for existing apps.
- Pay-as-you-go pricing with published model-level token rates.
- Streaming, batch processing, and prompt caching are documented.
- Production signals include a 99.9% uptime SLA and automatic failover.
Cons
- Some pricing is model-specific and may change, so users need to check the pricing page for current figures.
- The public docs are detailed on quickstart and model access, but the source set provides limited information about team/admin workflows and platform tooling beyond the API itself.
FAQ
How do I start using Aiberm?
Aiberm provides a unified API and a quickstart that shows how to use the official OpenAI SDK by changing the `base_url` to `https://aiberm.com/v1`, or call the API directly with HTTP requests.
What API workflows does Aiberm support?
The documentation says Aiberm supports streaming and batch processing, and the quickstart points to detailed Chat Completions documentation for deeper API usage.
What is the difference between the two Claude model sets?
According to the FAQ, `claude-` prefixed models are offered at an 81% discount and are suited for coding scenarios, while `anthropic/` models are routed through AWS at about 28% off the official price.
Does Aiberm support caching?
Yes. The FAQ states that all Aiberm Claude models support prompt caching, and other models also support caching as well.
How do I get an invoice?
The FAQ lists self-service invoices through `https://meiguo.app/invoice`. It also notes that corporate bank transfer invoices are available by contacting the group admin, and that Chinese Fapiao rules may apply for non-corporate transfers.
Quick Facts
- Category
- Developer Tool
- Primary users
- Developers and teams building AI-powered applications
- API style
- Unified, OpenAI-compatible API
- Source domain
- aiberm.com
- Billing
- Pay as you go
- Operator
- Geddle, Inc.
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