Best LLM Gateways in 2026 (Enterprise Buyer's Guide)
Blog post from MintMCP
Enterprise AI infrastructure increasingly requires gateways that manage not only language-model routing, provider selection, performance, caching, costs, and observability, but also agent identities, tool permissions, credentials, and audit trails through standards such as the Model Context Protocol. The comparison examines 10 options with different priorities: MintMCP emphasizes governed MCP and agent access through virtual endpoints, scoped non-human identities, credential injection, auditing, and security controls; Bifrost and Helicone focus on high-performance gateway architectures; LiteLLM and OpenRouter emphasize broad multi-provider model access; Portkey provides LLMOps features such as observability, guardrails, and caching; TrueFoundry targets regulated and flexible deployments, including air-gapped environments; Kong extends established API governance to AI traffic; Cloudflare offers edge-based, low-management proxying; and FloTorch is designed for complex agentic workflows involving tools, memory, and RAG pipelines. The text argues that production deployments often need both LLM gateways for model traffic and MCP or agent gateways for governed access to enterprise tools and data, with selection depending on requirements such as throughput, deployment model, compliance, provider breadth, cost optimization, and the depth of agent governance needed.
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