OpenAI- and Anthropic-compatible APIs
Present multiple provider models through one endpoint that accepts OpenAI and Anthropic client formats, reducing the need to rewrite applications when changing configured providers.
GoModel
GoModel is an open-source Go-based AI gateway that gives applications one OpenAI- and Anthropic-compatible endpoint across 31 providers. It helps developers centralize model aliases, workflows, caching, failover, usage tracking, budgets, and audit logs, with additional enterprise-oriented capabilities in GoModel Pro.
Open-source gateway for multi-provider AI traffic
GoModel is an open-source AI gateway written in Go. It places a single endpoint in front of models from 31 providers and accepts both OpenAI-compatible and Anthropic-compatible requests, allowing existing SDK-based applications to use a common gateway interface.
The gateway is designed to centralize model routing and operational controls. Its listed capabilities include model aliases, scoped workflows, exact and semantic response caching, failover, circuit breakers, rate limits, budgets, audit logs, usage analytics, and an administrative dashboard. A commercial GoModel Pro distribution adds prompt compression, OIDC SSO, per-child quota templates, and founder-level support.
Gateway capabilities
Aliases and scoped workflows
Map provider models to aliases and apply scoped workflows so applications can use stable names and request-specific policies instead of embedding provider details in every client.
Exact and semantic caching
Cache responses with exact or semantic matching, with prompt-cache visibility in the dashboard, to manage repeated requests and inspect cache behavior.
Resilience and spend controls
Route around provider problems with failover and circuit-breaker behavior, while applying rate limits, budgets, and pricing overrides to control traffic and spend.
Operations and observability
Review real-time audit logs and usage analytics in the admin dashboard. The homepage also lists multiple API keys, response lifecycle tracking, OpenTelemetry traces, and an MCP gateway.
GoModel Pro extensions
The commercial Pro distribution adds prompt compression, OIDC single sign-on for the dashboard, per-child quota templates, and founder-level support.
Practical use cases
Multi-provider application backends
Place one API endpoint between an application and multiple model providers, then change the configured provider or model alias without changing every client integration.
Shared internal AI access
Give teams a controlled way to expose models by using multiple API keys, scoped workflows, rate limits, budgets, and audit logs for request and spend oversight.
High-volume repeated workloads
Use exact or semantic caching for repeated prompts and inspect cache visibility in the dashboard when applications generate recurring or similar requests.
Resilient production routing
Keep applications operating through provider interruptions by configuring failover and circuit-breaker behavior, while using usage analytics and OpenTelemetry traces to investigate gateway traffic.
Portable gateway deployments
Deploy a lightweight gateway locally, on an edge box, or in Kubernetes when a team wants a Go binary or Docker-based service in front of OpenAI- or Anthropic-style clients.
Pros and Cons
Pros
- OpenAI and Anthropic-compatible endpoints let existing clients use the same gateway interface.
- A single Go binary and Docker image provide a compact deployment model, according to the product comparison page.
- Routing, caching, failover, budgets, rate limits, audit logs, and usage tracking are grouped in one gateway.
- The admin dashboard provides provider configuration, usage analytics, and real-time audit-log visibility.
- The project is published under the MIT license according to the comparison page.
Cons
- The supplied product pages identify 31 supported providers but do not list them, so compatibility should be verified before adoption.
- Some capabilities are version- or edition-dependent: OIDC SSO and prompt compression are described as GoModel Pro features, while several other features are listed in the v0.2 roadmap.
- The provided /pricing route is not a working general pricing page; only the GoModel Pro page provides commercial pricing information.
FAQ
How is GoModel installed and configured?
GoModel can be installed with its shell installer, PowerShell installer, or Docker image. After starting it, configure a provider through environment variables, config.yaml, or the dashboard's Providers page.
Which API formats and SDKs does GoModel support?
Yes. GoModel exposes an OpenAI-compatible endpoint at /v1/chat/completions and an Anthropic-compatible /v1/messages endpoint. Existing OpenAI and Anthropic SDK clients can be pointed at the gateway by changing the base URL.
Where can GoModel be deployed?
The gateway can be run locally with Docker or as a GoModel binary, and the comparison page describes deployment on laptops, edge boxes, and Kubernetes. The supplied sources do not specify complete production requirements or platform limitations.
How broad is GoModel's provider coverage?
GoModel's homepage states that it supports 31 providers, but the supplied source content does not list their names. LiteLLM is described as having a broader catalog of more than 100 providers, so provider coverage should be checked against your requirements.
What is included in GoModel Pro?
The open-source gateway includes capabilities such as audit logs, budgets, rate limits, caching, failover, and an admin dashboard. GoModel Pro additionally offers prompt compression, OIDC SSO, per-child quota templates, and founder-level support; the Pro page lists pricing of $499 per month or $4,999 per year with a 30-day money-back guarantee.
Quick Facts
- Category
- Developer Tool
- Product type
- Open-source AI gateway
- Implementation
- Go
- Provider coverage
- 31 providers
- API compatibility
- OpenAI and Anthropic
- Commercial edition
- GoModel Pro
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