If you're making API calls to LLMs in production, you've probably realized that hardcoding model: "claude-opus-4.6" for every request is like taking a Ferrari to the grocery store. Some requests need a Ferrari. Most don't.
The solution is model routing — automatically selecting the right model for each request based on task type, cost, and latency requirements. But in February 2026, there are at least five different approaches to this problem. Here's how they compare.
The 5 Approaches
1. Enterprise Gateway: Portkey
What it does: Full-featured API gateway with routing, fallbacks, retries, caching, and observability. Think of it as the AWS of LLM infrastructure.
Best for: Teams processing millions of requests/month who need SOC-2/HIPAA compliance and 99.9999% uptime.
Pricing: Starts at $49/month. Enterprise plans are custom.
Pros:
- 1600+ LLM connections, including multi-modal
- Built-in observability dashboard
- Production-grade reliability (10B+ requests/month processed)
Cons:
- Overkill for indie developers or small projects
- Minimum $49/month even for experimentation
- Complex configuration (lots of knobs to turn)
Verdict: If you're an enterprise team with compliance needs, Portkey is the fortress. If you're a solo developer, it's too much.
2. Open-Source Observability: Helicone
What it does: Primarily an observability layer — logs, traces, and analyzes your LLM requests. Has a proxy mode that can route requests, but that's not the core product.
Best for: Developers who want to understand their LLM usage before optimizing it. Great first step before adding routing.
Pricing: Free tier (10K requests/month), Pro at $79/month, Team at $799/month.
Pros:
- Genuinely free to start
- Open-source (self-host option)
- Excellent debugging and analysis tools
Cons:
- Not primarily a router — observability-first
- Self-hosting requires DevOps skill
- Free tier is limited (10K requests)
Verdict: Start here if you want to understand where your money is going. Then add routing on top.
3. Data-Driven Custom Routing: Not Diamond
What it does: Lets you train a custom router on YOUR evaluation data. Instead of a generic "best model" decision, it learns which model works best for your specific use cases.
Best for: Teams with enough data (evaluation results, user feedback) to train a meaningful router.
Pricing: Starts at $100/month. Custom enterprise pricing available.
Pros:
- Custom routers trained on your data
- 25% accuracy improvement claimed
- SOC-2 compliant, zero data retention option
Cons:
- $100/month minimum is steep for experimentation
- Requires evaluation data to train on (barrier for new projects)
- 60ms routing latency adds up at scale
Verdict: Powerful if you have the data. Expensive if you're just getting started.
4. Developer Control: Unify AI
What it does: Gives developers explicit control over the quality/cost/latency tradeoff through adjustable parameters. Think "three sliders" that control how your requests get routed.
Best for: Developers who want fine-grained control over the routing decision without building their own system.
Pricing: Freemium model (details vary).
Pros:
- Intuitive UX (adjust sliders, see results)
- Developer-focused documentation
- Building automated benchmarking tools
Cons:
- Still requires you to understand the tradeoffs
- Less established than Portkey or Helicone
- Benchmarking tools are still in development
Verdict: Good middle ground if you want control without building everything yourself.
5. Automatic Cost-Optimized Routing: Komilion
What it does: Classifies each request by task type and automatically routes to the cheapest model that can handle it. Three tiers: frugal (max savings), balanced (quality sweet spot), premium (best available).
Best for: Developers who want to reduce API costs immediately without managing model selection manually.
Pricing: Free to start (trial credits). Pay-as-you-go after that. No monthly minimum.
Pros:
- OpenAI SDK compatible (change one line of code)
- Transparent cost in every response
- No minimum spend, no credit card needed to try
- 400+ models across 60+ providers
Cons:
- Early stage (launched February 2026)
- No built-in observability dashboard (yet)
- Less enterprise features than Portkey
Verdict: Best entry point if your primary goal is reducing costs. Switch one line, see savings immediately.
Full disclosure: I built Komilion, so take this section with appropriate skepticism. The benchmark data is real though — published here.
Which One Should You Use?
| Your Situation | Best Fit |
|---|---|
| Enterprise, compliance needs, millions of requests | Portkey |
| Want to understand your LLM usage first | Helicone |
| Have evaluation data, want custom optimization | Not Diamond |
| Want manual control over quality/cost tradeoff | Unify |
| Want immediate cost reduction, minimal setup | Komilion |
| Budget is $0 and you need something now | Helicone (free tier) or Komilion (trial credits) |
The Real Answer
Honestly? The best approach depends on where you are in your journey:
- Just starting? Use Helicone's free tier to log and understand your usage patterns.
- Know your patterns, want savings? Add Komilion routing to automatically optimize costs.
- Scaling with data? Train a custom router with Not Diamond.
- Going enterprise? Graduate to Portkey for compliance and reliability.
The model routing space is heating up fast. Five months ago, most developers just picked a model and stuck with it. Today, intelligent routing is becoming a standard part of the LLM stack. The question isn't whether to route — it's how.
Robin Banner builds Komilion, an AI model router. He benchmarks things with real money and has opinions about token pricing.
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