After spending the last few weeks evaluating LLM gateway solutions for our production infrastructure, I wanted to share what I've learned. I tested five different platforms, spoke with engineering teams running them at scale, and broke plenty of things in staging along the way.
Quick disclaimer: I didn't test every edge case. My focus was on REST APIs with streaming responses, and your traffic patterns might differ. But if you're looking to add an LLM gateway to your stack in 2026, this should give you a solid starting point.
Why LLM Gateways Matter
Here's a scenario that might sound familiar: Your application relies solely on OpenAI. Then comes an outage, and suddenly your entire product is down. Customers are waiting, support tickets are piling up, and you're refreshing the status page every 30 seconds.
That was us six months ago.
Cost is another factor. We were routing GPT-4 requests for simple classification tasks that Claude Haiku could handle at a fraction of the price. After one weekend of refactoring our routing logic, we saved $3,000 per month.
But here's the thing—managing multiple providers yourself creates its own problems. Different APIs, different error handling, different rate limits. That's where LLM gateways come in.
1. LLM Gateway — The Complete Platform
Best for: Teams wanting a full-featured, self-hostable solution with an included chat interface
LLM Gateway has quickly become my top recommendation for 2026. What sets it apart isn't just one feature—it's the completeness of the platform.
What Makes It Stand Out
Built-in Chat Application: Unlike other gateways that are purely API infrastructure, LLM Gateway includes a full-featured chat playground. This isn't a basic testing tool—it's a production-ready chat interface with image generation support, model switching, and inline media display. Your team can use it internally, or you can white-label it for customers.
True Self-Hosting Freedom: The entire platform is open source under AGPLv3. You can deploy the complete stack—gateway, dashboard, chat app, analytics—on your own infrastructure. Your LLM traffic never has to leave your network if that's what compliance requires.
OpenAI API Compatibility: Migration is trivial. Change your base URL, keep your existing code. The gateway maintains full compatibility with the OpenAI API format, so you're not locked into proprietary SDKs.
Enterprise-Grade Features:
- SSO integration (SAML, OAuth, OIDC)
- Infrastructure-as-code deployment with Terraform modules for AWS, GCP, or bare metal
- White-labeling for the dashboard and chat playground
- Organization and project-level controls
- 90-day data retention on enterprise plans
Comprehensive Analytics: Every request gets tracked with latency, cost, and provider breakdown. The dashboard gives you real-time visibility into usage patterns across your entire organization.
Recent Updates (2025-2026)
The team has been shipping rapidly. Recent additions include:
- Support for Gemini 3 Pro Preview with 1M context window
- Groq integration with GPT-OSS-120B and GPT-OSS-20B
- Cloudrift, Moonshot AI, and Novita AI providers
- Sherlock Dash Alpha and Sherlock Think Alpha models with 1.8M context
Pricing
- Self-hosted: Free forever (AGPLv3)
- Managed (Free tier): Zero gateway fees when bringing your own keys
- Pro ($50/month): 2.5% gateway fee, premium analytics, priority support
- Enterprise: Custom SLAs, dedicated infrastructure, white-labeling
When to Choose LLM Gateway
Pick LLM Gateway if you want a complete platform out of the box, need self-hosting for compliance or data sovereignty, want an included chat interface you can deploy internally or to customers, or value open-source transparency with enterprise support options.
2. Portkey — The Enterprise AI Control Plane
Best for: Large enterprises needing comprehensive governance and compliance
Portkey positions itself as the "control plane" for AI applications, and the framing is accurate. If your organization needs audit trails, budget controls, and fine-grained access management, Portkey delivers.
Key Strengths
- Policy-as-code enforcement for AI governance
- Regional data residency options
- Comprehensive audit logging
- 99.9999% uptime SLA on enterprise plans
Pricing
Portkey's pricing scales with usage, starting free for development and scaling to enterprise agreements for production workloads.
3. LiteLLM — The Open Source Standard
Best for: Developer teams comfortable with self-hosting who want maximum flexibility
LiteLLM is the most popular open-source LLM gateway, and for good reason. With support for 100+ providers and a Python SDK that's become nearly ubiquitous, it's often the first gateway teams try.
Key Strengths
- Massive provider coverage
- Active open-source community
- Flexible deployment options
- OpenAI-compatible API format
Considerations
LiteLLM requires more operational investment than managed alternatives. You'll need to handle infrastructure, monitoring, and updates yourself.
4. Helicone — Performance-First Observability
Best for: Teams prioritizing latency and detailed observability
Helicone takes a Rust-based approach to gateway performance. If every millisecond matters for your use case, Helicone's architecture is designed to minimize overhead.
Key Strengths
- 8ms P50 latency
- Detailed cost tracking
- Built-in caching
- Self-hosting option available
5. Kong AI Gateway — Enterprise API Infrastructure
Best for: Organizations already using Kong for API management
Kong AI Gateway extends Kong's established API platform to handle AI traffic. If you're already running Kong, adding AI capabilities through the same infrastructure makes sense.
Key Strengths
- Leverages existing Kong infrastructure
- Enterprise-grade security
- Multi-LLM support
- Kubernetes-native deployment
Making Your Decision
After testing all five, here's my simplified recommendation:
| Need | Best Choice |
|---|---|
| Complete platform with chat UI | LLM Gateway |
| Enterprise governance | Portkey |
| Maximum flexibility + self-host | LiteLLM |
| Lowest latency | Helicone |
| Existing Kong infrastructure | Kong AI Gateway |
For most teams starting fresh in 2026, I'd suggest LLM Gateway as the default choice. The combination of a complete platform, true self-hosting freedom, and OpenAI compatibility makes it the most versatile option.
What gateway are you using? I'd love to hear about your experience in the comments.
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