
cto bench
The ground truth code agent benchmark
cto bench launched on December 20, 2025 with 125 votes, #237 of 11,628 launches that month and more than 95% of that year's launches. The site was not reachable when checked in September 2026.
What it does
Most AI benchmarks are built backwards. Someone sits down, dreams up hard problems, and then measures how well agents solve them. The results are interesting, sure. But they don't always tell you what matters: how agents perform on the actual work that's sitting in your queue. That's why we built cto.bench. Instead of hypothetical tasks, we're building our benchmark from real work. Every data point on cto bench comes directly from how cto.new users are actually using our platform.
Does a similar job
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Coarena by CoastyAug 2026 · coarena.ai · ▲111We built a computer use agent once and got it benchmarked at the 2nd position in the biggest benchmark for this field but in the process, we realized one thing, how outdated and inefficient these benchmarks are and how they don't truly capture how these tasks went. So we thought a community led benchmarking arena would be the way to go about. https://coarena.ai/. You just have to put in a task and two side by side windows with hidden models will show up and do the same task and at the end you vote which one did better(or none). We have a leaderboard where we rank all the…
oqoqoAug 2026 · oqoqo.ai · ▲325Most benchmarks today exist in curated environments and do not translate well to the real world. We built Oqoqo to bridge this gap. Oqoqo makes it super simple to build realistic evals and custom benchmarks for tasks users actually care about. Oqoqo can: - Reliably measure how agent friendly your product surfaces are against Codex, Claude Code, OpenClaw, Hermes, Pi, Opencode, Cursor, GitHub Copilot - Regression test MCP, CLI, skills, SDK, and any agent facing interface (we are continuously using Oqoqo to dogfood and improve our own MCP/CLI) - Create and share custom benchmarks for how…




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