Rust single-binary gateway for LLM, MCP, A2A and ordinary HTTP traffic, run entirely on your own infrastructure.
- Cost above the model bill
- Self-hosted
- Self-hosting is the only mode and it is free of vendor charges. The binary is a single Rust process (13-22 MB resident in the project's own benchmark runs), so the practical floor is one small container plus, optionally, SQLite or PostgreSQL if you want USD budgets, the cost dashboard or database-backed request logs ([Database](https://agentgateway.dev/docs/standalone/latest/setup/database/), [benchmark](https://agentgateway.dev/blog/2026-06-26-benchmarking-agentgateway-vs-litellm-part-2/)).
- Models
- ~1,002
- across 20–44 providers
- Failover
- Spend limits
- Logs
- Guardrails
Best for Platform teams that already run Kubernetes or Envoy-style infrastructure and want one Rust data plane in front of LLM, MCP, A2A and ordinary HTTP traffic, with per-key USD budgets and guardrails defined in version-controlled YAML.
Open source Self-host only Apache-2.0
AI proxy plugins for the Apache APISIX API gateway, adding LLM routing and token limits to an OpenResty data plane.
US company
- Cost above the model bill
- Self-hosted
- No license cost at all; you run APISIX and its etcd control store on your own infrastructure. The docs are co-branded with API7, a commercial vendor offering a supported distribution, whose pricing is not published on these pages.
- Models
- —
- across 10–20 providers
Best for Teams already running APISIX that want basic multi-provider LLM proxying, retries and token-based rate limiting without adding another gateway.
Open source Self-host only Apache-2.0
Go-based open-source AI gateway focused on low proxy overhead, with an enterprise tier for clustering and SSO.
US company
- Cost above the model bill
- Self-hosted
- OSS is free (Apache-2.0); infra cost only. Enterprise adds guardrails, cluster mode, adaptive load balancing, SAML/OIDC SSO, vault integration, log exports, audit logs, RBAC and SLAs at custom pricing after a 14-day trial; VPC, on-prem and air-gapped installs are enterprise options.
- Models
- —
- across 20–23 providers
- Failover
- Spend limits
- Logs
- Semantic cache
- Guardrails
Best for Teams that want a fast Go gateway they can self-host for free and later buy clustering, SSO and guardrails from a single vendor.
Open source Self-host only Apache-2.0
Kubernetes-native open-source AI gateway that adds a unified LLM and MCP data plane on top of CNCF Envoy Gateway, with a stable v1beta1 CRD API and no vendor-hosted tier.
- Cost above the model bill
- Self-hosted
- Self-hosting is the only mode and carries no licence fee: `helm upgrade -i aieg-crd oci://docker.io/envoyproxy/ai-gateway-crds-helm` followed by `helm upgrade -i aieg oci://docker.io/envoyproxy/ai-gateway-helm` ([installation](https://aigateway.envoyproxy.io/docs/getting-started/installation)). Real cost drivers are the Envoy Gateway control plane and Envoy data plane it requires, the AI Gateway controller (documented starting requests 100m CPU / 128Mi, limits 500m / 256Mi, HPA example min 2 max 10 replicas at 70% CPU) and a Redis instance if you enable token rate limiting or quotas ([scaling](https://aigateway.envoyproxy.io/docs/capabilities/scaling); [rate limiting](https://aigateway.envoyproxy.io/docs/capabilities/traffic/usage-based-ratelimiting), 2026-09-02).
- Models
- —
- across 16–19 providers
Best for Platform teams already running Envoy Gateway or Gateway API on Kubernetes who want provider-agnostic LLM and MCP routing, cloud-native upstream credential handling and OpenTelemetry GenAI telemetry as ordinary infrastructure, with a stable CRD API and no vendor in the request path.
Open source Managed or self-host Apache-2.0
Envoy/Istio-based Kubernetes and microservice gateway from Alibaba, now a CNCF Sandbox project, whose Wasm plugin set turns it into an LLM and MCP gateway.
- Cost above the model bill
- No markup
- You pay the model provider’s own prices
- Models
- ~100
- across 26–31 providers
- Failover
- Spend limits
- Logs
- Semantic cache
- Guardrails
Best for Teams already running Kubernetes who want one Envoy-based gateway for north-south traffic, microservices and LLM/MCP calls, and who are happy to assemble reliability and guardrail behaviour from plugin fields themselves.
Open-source AI gateway and Python SDK that puts one OpenAI-compatible API in front of many LLM providers.
US company
- Cost above the model bill
- Self-hosted
- OSS is free (MIT); you pay only for your own containers plus Postgres and Redis. Enterprise features (SSO, RBAC, JWT auth, SCIM, audit logs, support SLAs) require a paid LiteLLM commercial license whose price is not published.
- Models
- —
- count not published
- Failover
- Spend limits
- Logs
- Semantic cache
- Guardrails
Best for Platform teams that want a free, self-hosted, maximally broad provider abstraction with virtual keys and budgets, at moderate request volumes.
Open source Managed or self-host AGPL-3.0
AGPL-licensed OpenAI-compatible gateway available as one self-hosted Docker image or a hosted service with credit fees.
US company
- Cost above the model bill
- 5% to top up
- No markup on tokens, fee applies when you add funds
- Models
- ~200
- across ~40 providers
- Failover
- Spend limits
- Logs
- Caching
- Guardrails
Best for Small teams that want an OpenRouter-style hosted gateway with a genuine zero-cost self-host escape hatch and no token markup.
Open source Managed or self-host Apache-2.0
AI gateway that ships inside the MLflow Tracking Server: OpenAI-compatible routing over encrypted provider connections, with guardrails, budgets and every request landing as an MLflow trace.
US company
- Cost above the model bill
- No markup
- You pay the model provider’s own prices
- Models
- —
- across 14–100 providers
- Failover
- Spend limits
- Logs
- Guardrails
Best for Teams already running MLflow for tracing and evaluation who want governed, OpenAI-compatible LLM access on the same server — no second system to deploy, and every gateway request lands as a trace they can evaluate.
Self-hosted Go gateway that fans 30+ upstream model providers into one OpenAI-compatible endpoint, with a full user, token and quota billing system bolted on.
- Cost above the model bill
- Self-hosted
- You pay only for your own infrastructure and upstream provider spend: the software is AGPLv3 and "can be used for free" so long as the licence is observed, with a paid commercial licence available by email for AGPL-exempt use ([Project Introduction](https://www.newapi.ai/en/docs/guide/wiki/basic-concepts/project-introduction)). Production sizing implies a MySQL and a Redis alongside the gateway ([Cluster Deployment](https://www.newapi.ai/en/docs/installation/deployment-methods/cluster-deployment)).
- Models
- 100+
- across 30+ providers
- Failover
- Spend limits
- Logs
- Guardrails
Best for Teams that want to self-host one multi-dialect gateway and also *bill* the people behind it - per-token quotas, groups, ratios, top-ups and subscription plans - with no vendor in the request path and no vendor fee ([Project Introduction](https://www.newapi.ai/en/docs/guide/wiki/basic-concepts/project-introduction), [Token Management](https://www.newapi.ai/en/docs/guide/feature-guide/user/token), [System Settings - Detailed](https://www.newapi.ai/en/docs/guide/feature-guide/admin/system-setting-advanced)).