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.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| Bifrost AI Gateway(original) | 8.5k | +834 | 2026-09-30 |
| AI Gateway | 13.1k | +328 | 2026-05-25 |
| LiteLLM | 59.9k | +3,007 | 2026-09-30 |
| TensorZero | 11.7k | +90 | 2026-06-04 |
| OmniRoute | 71.7k | +11,294 | 2026-09-30 |
| Manifest | 7.5k | +552 | 2026-09-30 |
| NadirClaw | 655 | +46 | 2026-09-23 |
| OpenLLM | 12.5k | +53 | 2026-05-29 |
| vLLM | 93.0k | +2,963 | 2026-09-30 |
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
2. LiteLLM
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropi
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
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
4. OmniRoute
OmniRoute is an AI gateway for multi-provider LLMs: an OpenAI-compatible endpoint with smart routing, load balancing, retries, and fallbacks. Add policies, rate limits, caching, and observability for
What sets it apart: OmniRoute is Uniswap's specialized cross-chain routing engine for DeFi, not comparable to AI tools — it optimizes token swap execution across liquidity pools
Best for: DeFi developers integrating Uniswap smart routing into trading applications
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
6. NadirClaw
Open-source LLM router & AI cost optimizer. Routes simple prompts to cheap/local models, complex ones to premium — automatically. Drop-in OpenAI-compatible proxy for Claude Code, Codex, Cursor, OpenCl
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
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
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