8 Best Bifrost AI Gateway Alternatives in 2026 (Open Source)

Bifrost AI Gateway — Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS. Fastest AI gateway with 11us overhead at 5k RPS — built in Go for extreme performance vs LiteLLM/Portkey's Python-based proxies

These 8 open-source tools do the same job. They are ordered by how closely they match Bifrost AI Gateway, with live GitHub data so you can see which projects are actively maintained.

By package downloads LiteLLM is the most used here (89.4M in the last 30 days), even though vLLM has the most GitHub stars. See all agent tools by downloads.

1. 1. AI Gateway

   A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.

   What sets it apart: vs LiteLLM: production-focused with guardrails, caching, and MCP Gateway; vs OpenRouter: self-hostable with enterprise governance and conditional routing rather than just model access

   Best for: Teams using multiple LLM providers needing unified routing; Production AI apps requiring reliability (retries/fallbacks); Organizations wanting centralized LLM cost and access control

   ⭐ 13.1kBifrost AI Gateway vs AI Gateway →Full profile →

2. 2. LiteLLM

   Open-source Python SDK and AI gateway for calling 100+ LLMs through a unified OpenAI-compatible interface

   What sets it apart: Unlike OpenRouter (hosted-only routing), LiteLLM is self-hostable and provides a full gateway with per-user spend tracking, virtual keys, and A2A/MCP protocol support — making it the enterprise LLM traffic controller

   Best for: ML platform teams managing multi-provider LLM access with centralized cost tracking and auth; Developers switching between LLM providers without changing application code

   ⭐ 60.1kBifrost AI Gateway vs LiteLLM →Full profile →

3. 3. TensorZero

   TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

   What sets it apart: Only LLM gateway that combines inference, observability, evaluation, and optimization in one Rust-based system with data flywheel — vs LiteLLM (routing only) or Langfuse (observability only)

   Best for: Teams wanting a unified LLM gateway with built-in optimization feedback loop; Production systems needing <1ms latency overhead at scale; Organizations wanting to continuously improve LLM performance from production data

   ⭐ 11.7kBifrost AI Gateway vs TensorZero →Full profile →

4. 4. OmniRoute

   OpenAI-compatible gateway for multi-provider routing, retries, fallbacks, caching, and observability

   What sets it apart: It combines an OpenAI-compatible endpoint with broad provider routing, quota-aware failover, token compression, and a maintained free-tier catalog.

   Best for: Developers building agents or coding workflows across multiple model providers; Teams seeking a single OpenAI-compatible endpoint with provider failover; Users managing multiple provider quotas and free tiers

   ⭐ 72.5kBifrost AI Gateway vs OmniRoute →Full profile →

5. 5. Manifest

   Smart LLM Routing for OpenClaw. Cut Costs up to 70% 🦞🦚

   What sets it apart: Free, open-source, local-first LLM router with transparent scoring — vs OpenRouter which is a cloud proxy with 5% fee and no routing transparency

   Best for: Reducing LLM API costs by routing to cheapest capable model; Teams using multiple LLM providers who want automatic failover

   ⭐ 7.6kBifrost AI Gateway vs Manifest →Full profile →

6. 6. NadirClaw

   Open-source LLM router and cost optimizer with an OpenAI-compatible proxy

   What sets it apart: Local-first LLM cost optimizer — classifies prompt complexity in 10ms and routes simple requests to 10-20x cheaper models, with no third-party proxy or middleman

   Best for: Teams spending heavily on LLM APIs wanting 40-70% cost reduction; AI coding assistants (Claude Code, Cursor) with mixed complexity prompts; Budget-conscious developers using multiple LLM providers

   ⭐ 655Bifrost AI Gateway vs NadirClaw →Full profile →

7. 7. OpenLLM

   Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

   What sets it apart: Unlike Ollama which focuses on local/desktop usage, OpenLLM bridges local development and cloud production through unified BentoML tooling — providing the same CLI workflow from laptop to Kubernetes cluster with OpenAI API compatibility

   Best for: Teams wanting the fastest path from model selection to OpenAI-compatible API endpoint; DevOps engineers deploying open-source LLMs to production with Docker/Kubernetes

   ⭐ 12.6kBifrost AI Gateway vs OpenLLM →Full profile →

8. 8. vLLM

   A high-throughput and memory-efficient inference and serving engine for LLMs

   What sets it apart: Unlike llama.cpp (consumer-hardware focused, C++ native), vLLM is the production throughput king with PagedAttention achieving 2-24x higher throughput than HuggingFace Transformers on datacenter GPUs

   Best for: Production LLM serving requiring maximum throughput with PagedAttention and continuous batching; Teams serving multiple LoRA adapters from a single base model in production

   ⭐ 93.1kBifrost AI Gateway vs vLLM →Full profile →