# Entelligence Model Router

> Entelligence Model Router routes every coding-agent task by quality, latency, and AI spend so teams get frontier-model performance at a fraction of the cost.

Source: https://entelligence.ai/model-router

## Get Frontier-model performance at a fraction of the cost

Routing every coding task based on quality, latency and AI spend

## Every task routed for the best model

Model Router checks each coding‑agent step, picks the efficient model that can do the job, escalates if needed and makes sure it’s finished before returning the result.

- **Keep coding as usual.** Claude Code, Codex and the agents your team already runs keep working the way they do. The router sits in front of them, so there is no new editor and no new workflow.
- **Score the turn against your quality bar.** Each step is scored before it runs and sent to the most efficient model that clears the quality bar you set, instead of forcing the whole session onto one.
- **Escalate when the work is hard.** Long reasoning, difficult refactors and stuck sessions move up to a stronger model instead of retrying on one that cannot finish.
- **Verify, then report what it cost.** A stronger model re-checks the completion claim before the result returns, and the turn is recorded against what your baseline model would have charged.

## Why the bill drops and the code quality doesn’t.

The saving comes out of the routing, never out of the answer.

- **Automatic per-turn routing** Routine work runs on efficient models without forcing the whole session onto one.
- **Escalation for hard work** Long reasoning, difficult refactors and stuck sessions move up when needed.
- **Stronger-model verification** Completion claims are checked before the result comes back to the engineer.
- **Savings you can audit** Compare actual routed spend with what the same turns would have cost on your baseline.

## See what the router chose, what it cost and what it saved.

## Use our credits or your own keys.

- **Entelligence credits**: Buy credits and pay for routed turns through Entelligence. A $100 top-up includes the 5% routing fee, leaving $95 for provider spend.
- **BYOK**: Use your existing provider accounts and keys. We invoice 5-10% of what we route, monthly.
- **BYOC**: Run the router inside your own cloud. Not available yet.

## 2026 Token Maxxing Report

1M+ pull requests · 2,444 organizations · May 2026. For every dollar spent on AI coding tools, 18 cents becomes shipped product. See where the other 82 go, and why the reactive work keeps growing. [Read the full report](https://research.entelligence.ai/)

- Reactive engineering: 44 cents of every AI dollar
- Code rework: 27 cents of every AI dollar
- Review friction: 11 cents of every AI dollar
- Shipped: 18 cents of every AI dollar

## Evidence behind the routing thesis.

Every figure names its scope. None of them are rounded.

- **9 in 10** tasks didn’t need a frontier model (across measured agent sessions)
- **60%** less spend per merged pull request (measured over 12 weeks)
- **75%** lower spend vs. a single-model month (published comparison: $100k → $25k)
- **13%** of tokens did no useful work (rebuilt context, repeats, failed retries)
- **2,444** organizations in the 2026 benchmark (Token Maxxing Report)
- **1M +** pull requests analyzed (Token Maxxing Report)

## Routing tells you what model ran. Insights tells you what the work produced.

Model Router optimizes each turn. Agent Insights connects agent usage to team adoption, spend, waste, and delivered work, so you can see whether those sessions actually become PRs and tasks. [Agent Insights](https://entelligence.ai/agent-insights.md)

Pricing: [Pricing](https://entelligence.ai/pricing.md).