Bifrost vs Unify (2026)
Updated March 10, 2026
Overview
Bifrost is an open-source LLM gateway from Maxim AI, written in Go, that puts 1,000+ models from 20+ providers behind one OpenAI-compatible API.
Unify provides intelligent LLM routing that automatically selects the optimal model and provider for each request based on quality, cost, and latency constraints. It benchmarks 100+ endpoints across providers and dynamically routes traffic to maximize performance while minimizing costs.
Key features
Core capabilities each platform advertises.
- OpenAI-compatible API for 1,000+ models from 20+ providers
- Automatic failover and load balancing
- Semantic caching
- MCP gateway for tool calls
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Apache 2.0 license, free to self-host
- 1,000+ models behind one OpenAI-compatible API
- Starts with a single npx command or Docker image
- Semantic caching and MCP gateway included
Cons
- You run, scale, and monitor the gateway yourself
- Observability is exported to other tools rather than stored in the gateway
- Evals live in Maxim's separate platform, priced per seat from $29/month
- Guardrails, SSO, RBAC, and audit logs require Enterprise
Pros
- Developer-friendly platform
- Production-ready
- Good performance
- Active development
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve
Bifrost or Unify — which should you choose?
Choose Bifrost if you wantChoose if you want
- Self-hosting an LLM gateway in your own infrastructure
- Failing over between providers during outages
- Cutting repeat-request cost with semantic caching
- Governing tool calls through an MCP gateway
Choose Unify if you wantChoose if you want
Compare Bifrost and Unify on your own traffic
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