Does RTK output compression still cut AI coding costs? Team benchmarks it on Terminal-Bench 2.1
Bartaseth · reddit · 2026-09-12
The Quesma team validated RTK (Rust Token Killer), one of the most popular LLM output compression tools, to see whether it still makes AI coding cheaper with newer models. Setup: Claude Code with Fable 5.0, and OpenCode with DeepSeek V4 Pro 0813 via OpenRouter, both run on Terminal-Bench 2.1. Full methodology and results are on their blog — the core question being whether token-compression tooling still pays off as models get more capable.
Related event: Benchmark Tests Whether RTK Token Compression Still Pays Off(2 posts)→
More from coding & agent
- Cursor ships Annotate in design mode: give agents visual prompts by editing and drawing on the page — soleio · 2026-10-28
- One-person companies are about the org chart, not headcount: humans judge, agents execute — ciguleva · 2026-10-28
- OATs: open-source toolkit turns everyday objects into personality-bearing agents — Stefania_druga · 2026-10-28
- Dev: local coding dropped from 100% to 5% in a year as cloud agents take over — bytebot · 2026-10-28
- Open-sourced 501(c)(FREE): agent-built free back office for US nonprofits — gralston · 2026-10-28
- Grok Bot 1.0.0 early build reveals Shared Bots, service accounts and team workflows — XFreeze · 2026-10-28