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GoModel vs Cortex

GoModelCortex

Bottom line: GoModel for platform teams running LLM infrastructure; Cortex for aPI teams with maintained specifications.

GoModelGoModel

Open-source self-hosted AI gateway putting 31 providers behind one endpoint

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CortexCortex

Turn API specifications into docs, typed SDKs, and an MCP server

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Votes00
PricingFreemiumFree
CategoryAi InfrastructureMcp
Tags
ai gatewayllm routingopen sourceself-hostedcost tracking
mcp serverapi documentationsdk generationopenapiopen source
Best for
  • Platform teams running LLM infrastructure
  • Regulated or air-gapped environments
  • Organisations tracking model spend centrally
  • API teams with maintained specifications
  • Teams exposing APIs to agents via MCP
  • Open-source projects needing docs and SDKs
Pros
  • MIT-licensed core with the important controls included
  • Self-hosted, works air-gapped, never phones home
  • 31 providers behind OpenAI and Anthropic compatible APIs
  • Virtual keys with budgets and rate limits
  • Caching, failover, and load balancing built in
  • MIT licensed with a public repository
  • Generates docs, SDKs, and an MCP server from one spec
  • Supports OpenAPI, AsyncAPI, GraphQL, gRPC, and OpenRPC
  • Eleven SDK output languages
  • Fully self-hostable, deployable anywhere Node runs
Cons
  • Pro tier is expensive at 499 dollars per month
  • You carry the operational burden of running it
  • Intelligent routing is still in beta
  • No hosted option for teams that want one
  • Smaller ecosystem than established hosted gateways
  • Output quality depends entirely on spec quality
  • No hosted service or commercial support
  • Requires a build step in your pipeline
  • No team collaboration features
  • Young project with a small ecosystem

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