jev-codex-router vs Bito

Both route model calls, but the unit of decision differs. Jev decides per turn — model plus thinking-effort depth chosen together, with four Choice questions per request (Astra policy, capability tier, effort depth, route lease) and a native tier ladder from Luna up to Astra. Crucially it applies routing to continuations after tool calls, not just the first turn, so a long agent run keeps getting re-priced. It relays Responses-in / Responses-out verbatim over SSE, embeds a maintained Codex Router fork so there is no second checkout or submodule, runs fail-open on any error, and ships a sentinel-file kill switch that routes without Jev instantly. Astra policy is mandatory for architecture and risk-focused review, and quota fallback fires only on observed native quota exhaustion.

Bito attacks the same spend problem from the other end. Its Code Context Engine maintains a living knowledge graph of your codebase and serves the relevant files, symbols, and dependencies per request, so the agent stops grepping; Bito cites a 47-to-23 step reduction per task. Governor then scores structural complexity — services touched, dependency blast radius — and routes against a live graph. It is a drop-in endpoint via one environment variable on the Anthropic and OpenAI APIs, covers Claude Code, Cursor, Codex, GitHub Copilot and Pi, offers quality floors and route pinning per key, and includes AI code reviews. Jev is a Codex-only tool; Bito is a multi-agent gateway layer with budgets and per-team analytics.

The pricing models are barely the same product category. Jev is free: an MIT-licensed monorepo from GitHub with a local server component, no support contract, no vendor SLA, no compliance certifications, and no published release notes. Your cost is time — install.sh, README-driven setup, an AGENTS.md-assisted install path, and the maintenance of a local routing component. Bito is freemium at the surface, but neither Governor nor AI Architect publishes usage rates; buyers must go through a sales conversation before they know what they pay. That is a material difference for anyone deciding quickly: Jev is a known quantity (zero dollars, unknown engineering hours), Bito is an unknown quantity (unknown dollars, unknown rollout time). Bito explicitly warns that a same-day rollout on a large codebase is unrealistic — indexing and scoping take real setup. In exchange, Bito offers rolling on/off measurement of savings against your own live traffic, which is designed for organizations that want to A/B-verify savings before signing a usage contract. If you cannot put a number on savings before committing, Jev's free self-hosted model and Bito's contract-then-verify model frame that risk very differently, and Bito's refusal to publish rates means the only way to price it is a conversation.