GOModel
44x lighter AI gateway in Go — one API for 10+ providers
The Panel's Take
GOModel is an open-source AI gateway written in Go that exposes a single OpenAI-compatible REST API across 10+ model providers — OpenAI, Anthropic, Gemini, Groq, xAI, Azure OpenAI, Ollama, and more. Unlike Python-based alternatives such as LiteLLM, it ships as a tiny single binary with a sub-10MB footprint, claiming 44x lower resource usage. The gateway ships with a two-layer caching system: an exact-match semantic cache that achieves 60–70% hit rates on repetitive workloads, plus a semantic similarity cache using embedding distance. It also includes Prometheus observability, structured audit logging, and configurable guardrails pipelines — making it suitable for teams that need compliant, observable AI routing without standing up a heavy Python service. For indie teams and self-hosted AI infrastructure, GOModel fills a real gap: a production-ready proxy that doesn't require a DevOps team to operate. It's particularly appealing for projects running on ARM boxes, Raspberry Pis, or edge servers where a Python runtime is a liability.
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GOModel verdict: SHIP 🚀 3 ships · 1 skip from the expert panel Full review: shiporskip.io/tool/gomodel-go-ai-gateway-openai-compatible-44x-lighter-litellm-2026
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<a href="https://shiporskip.io/api/badge-click/gomodel-go-ai-gateway-openai-compatible-44x-lighter-litellm-2026" target="_blank" rel="noopener"><img src="https://shiporskip.io/api/badge/gomodel-go-ai-gateway-openai-compatible-44x-lighter-litellm-2026" alt="GOModel Ship verdict on ShipOrSkip" width="360" height="90" /></a>[](https://shiporskip.io/api/badge-click/gomodel-go-ai-gateway-openai-compatible-44x-lighter-litellm-2026)<iframe src="https://shiporskip.io/embed/gomodel-go-ai-gateway-openai-compatible-44x-lighter-litellm-2026" title="GOModel ShipOrSkip verdict" width="360" height="260" style="border:0;border-radius:16px;max-width:100%;" loading="lazy"></iframe>The reviews
“Finally a Go-native AI gateway that isn't a Python container in disguise. The two-layer caching alone pays for itself in API costs on any repetitive workload. Self-hosting this on a small VM is trivially easy compared to standing up LiteLLM with all its dependencies.”
“128 stars on a December 2025 repo is not production pedigree. LiteLLM has years of battle-testing, a huge community, and an enterprise tier. 'Lighter' is nice but if GOModel drops a response or misroutes a call at 2am, there's essentially no support community to help you.”
“As AI routing becomes infrastructure-layer plumbing, the winner won't be the Python monolith — it'll be the tool that deploys in milliseconds to any compute environment. GOModel's architecture is aligned with where edge AI inference is heading.”
“For any creator running local AI workflows, having a dead-simple unified API across providers removes so much friction. Swapping from Anthropic to Gemini for different tasks without rewriting integration code is genuinely useful day-to-day.”