MinTok vs. OpenRouter
Why passthrough API proxies cost 4x to 6x more for agentic workloads. An empirical comparison between OpenRouter's dumb proxy model and MinTok's autonomous inference compiler.
| CAPABILITY / ARCHITECTURE | MINTOK INFERENCE COMPILER | OPENROUTER (PASSTHROUGH PROXY) |
|---|---|---|
| Operating Model | Active context compiler & AST optimizer | Passive HTTP forwarding proxy |
| Token Reduction | Eliminates 65%–84% of avoidable tokens | 0% reduction (forwards 100% of raw tokens) |
| Average Task Cost (SWE-bench) | $0.0008 – $0.0043 per task | $0.0240 – $0.0820 per task |
| AST & Symbol Slicing | Built-in Tree-sitter semantic slicing | Not supported |
| Observation Virtualization | Compresses logs, diffs, and test traces | Not supported |
| Edge Deployment | Cloudflare Edge Workers (300+ PoPs) | Centralized cloud servers |
| CLI & Studio Tools | Native CLI (npm/brew/curl) + Desktop Studio | Web dashboard only |
The Flaw with Passthrough Proxies
Passthrough API proxies like OpenRouter simply repackage upstream model endpoints. When your autonomous coding agent reads files, runs tests, and iterates across 20 turns, you pay for thousands of redundant tokens on every single turn.
The Compiler Advantage
MinTok acts as a compiler pass between your agent and the inference layer. It strips dead code, prunes unreferenced dependencies, and virtualizes past execution history. The result is identical reasoning fidelity at 1/6th the token bill.
Switch from Raw Proxies to Compiled Inference
Drop MinTok into your current OpenAI SDK workflow with zero code changes.