haimaker has launched a unified AI API Gateway that connects developers to more than 200 AI models through a single OpenAI-compatible endpoint, the company announced on June 27, 2026. The platform aims to eliminate the integration overhead typically associated with working across multiple AI providers, offering a drop-in replacement compatible with any existing OpenAI-compatible workflow without requiring code rewrites.
The release addresses a key challenge developers face as the number of large language models continues to grow: managing separate API integrations, credentials, and performance benchmarks across providers such as OpenAI, Anthropic, Mistral, and a range of open-source models. haimaker consolidates that complexity into a single endpoint and a single API key, allowing teams to reach models from these providers through one standardized interface.
Because the endpoint is fully OpenAI-compatible, developers already using OpenAI-compatible toolchains can adopt haimaker without altering their existing code. This architecture directly targets vendor lock-in, a persistent friction point in production AI development. With haimaker, switching between providers or evaluating a different model requires no structural changes to an application; the same request format, endpoint, and API key apply across the entire model catalog.
Beyond aggregation, haimaker incorporates intelligent model routing as a built-in capability. Instead of requiring developers to manually test and compare models for each use case, the platform automatically identifies the most suitable model based on three configurable priorities: cost, response speed, or output quality. This is particularly useful in production environments where token costs, latency targets, and task complexity vary across different parts of an application. For example, a developer building a chatbot might prioritize speed for conversational exchanges while routing document summarization tasks to a higher-capability model, all without writing custom routing logic.
The platform also supports real-time model comparison, enabling developers to evaluate outputs across providers under live conditions rather than relying on static benchmarks that may not reflect actual performance in a specific context. This feature, along with automatic routing configuration and access to both commercial and open-source models, is part of the Developer AI Tools available through haimaker.
Pricing is transparent, with costs tied to underlying model usage rather than a proprietary pricing layer that obscures what developers are paying for. This reflects haimaker's design principle of surfacing information and control to the developer rather than abstracting it away. For teams building applications that require flexibility across model providers or anticipate shifting their model strategy over time, the platform provides the infrastructure to accommodate that without committing to a single vendor's ecosystem.
haimaker is available now through haimaker.ai, where developers can access the full model catalog and begin integrating through the unified endpoint.
