Open Source
Free
- Apache 2.0, self-hosted, 1,000+ models from 20+ providers, failover, load balancing, semantic caching, MCP gateway, community support
Bifrost is an open-source LLM gateway from Maxim AI, written in Go and licensed under Apache 2.0. It puts 1,000+ models from 20+ providers, including OpenAI, Anthropic, AWS Bedrock, Google Vertex, and Azure, behind one OpenAI-compatible API, with automatic failover, load balancing, semantic caching, and an MCP gateway for tool calls.
You run it yourself with npx, Docker, or as a Go SDK, and each deployment includes a web UI for configuration and monitoring. An Enterprise plan adds guardrails, adaptive load balancing, SSO, RBAC, and audit logs, with in-VPC, on-premises, and air-gapped deployment, at a price set by Maxim after a 14-day trial.
Bifrost exports request data through OpenTelemetry and Prometheus rather than storing and scoring it itself, and evaluation lives in Maxim's separate platform. Teams that want routing and evals on the same record often compare it with other LLM gateways that keep both in one product.
Core capabilities this platform advertises.
What this tool does well, and the limitations to keep in mind.
Pros
Cons
What's included in each plan, and how the tiers compare.
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Custom
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Engineering teams that want a self-hosted, open-source LLM gateway in their own infrastructure
Respan is the AI router with observability and automated evals built in. Where Bifrost exports request data to other tools, Respan traces and scores every request where it's routed, so a fallback that fired and the eval score for its output sit on the same record.
Respan routes across 1,000+ models and traces and scores each request where it's routed, so a fallback and the eval score for its output sit on the same record. Start free.
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Side-by-side comparisons with other tools in this category.
Companies from adjacent layers in the AI stack that work well with Bifrost.
Last verified: March 10, 2026