GoModelHub

GoModelHub provides an OpenAI-compatible API endpoint that routes requests to multiple large language model providers based on cost, latency, availability, or user-defined rules. The service supports three routing modes: automatic evaluation and selection, manual model specification, and custom rule-based routing. Model inference costs are passed through at provider rates with a separate flat platform fee, and the company states that its routing layer typically reduces overall API spend.

The platform supports three distinct routing layers that can be enabled per request: L1 auto-routing evaluates cost per token, P50 response time, and provider uptime; L2 manual routing specifies the exact model like deepseek-chat; L3 custom rules allow task, time-based, or budget-aware routing compiled and executed per request.

Pricing consists of model costs passed through at the provider's rate with no markup on inference, plus a flat platform fee listed separately. The company claims that combining caching and smart routing typically reduces total API spend by 20-40%, with the routing layer paying for itself by the third month.

The service is designed for teams integrating AI who want to avoid writing their own middleware for health checks, fallbacks, and cost tracking. It suits production API calls requiring full evaluation, CI tests needing zero overhead, and overnight batch jobs requiring the cheapest working model.

Integration requires changing the base URL and API key to use the existing OpenAI SDK without modifying streaming, tool calls, vision, or structured outputs. The system supports Bring Your Own Key (BYOK) to allow users to use their own provider credentials.

The team behind the platform claims to have scaled LLM infrastructure at growth-stage AI companies and built the platform to make routing between providers a dedicated feature rather than a side project. The company states it was created because every team ends up writing the same middleware for health checks and fallbacks.

Users can enable one layer or all three layers per request, keeping the integration code the same regardless of the routing intelligence selected. The routing decision is matched to the request type rather than forcing a single routing logic on all workloads.

The platform handles provider health checks, latency scoring, and rule evaluation, which adds a few milliseconds of overhead per request. This overhead is offset by the routing layer's ability to flatten the spend curve over time through caching and intelligent selection.

The company promises a response time of within 24 hours for questions about routing, pricing, or enterprise plans. Contact can be made via a web form that accepts a name, email, and message.

The platform operates with a flat platform fee structure that is listed separately from the pass-through model costs. This transparency ensures users see exactly what they are paying for routing versus inference without surprise markups.

The service allows users to define routing logic as conditions such as task routing, time-based routing, or budget-aware routing. These rules are compiled and executed per request without requiring external middleware to build.

The company states that the routing layer pays for itself by month 3 through the compounding effects of caching and intelligent routing. The spend curve flattens over time compared to direct API costs that scale linearly with usage.

The platform enables users to specify the model in their request for manual routing, ensuring no substitution or smart routing occurs. This layer is designed for users who know exactly what model they want without any surprises.

The official website of GoModelHub is gomodelhub.com.

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